17 June 2019

Waymo’s self-driving Jaguar I-Pace vehicles are now testing on public roads


A little more than a year ago, Waymo surprised the industry and announced that its next big move in the world of autonomous vehicles would be a partnership with Jaguar Land Rover to add the automaker’s new all-electric I-Pace crossover to its fleet of self-driving cars.

Now, it appears self-driving Jaguar I-Pace vehicles are finally being tested on public streets around Waymo’s headquarters in Mountain View, Calif., TechCrunch has learned. A self-driving Jaguar I-Pace, with a safety driver behind the wheel, was spotted Monday morning. Waymo has confirmed that testing has begun.

Waymo, the former Google self-driving project that spun out to become a business under Alphabet, received its first three I-Paces in July 2018. Those vehicles have been driving around the San Francisco Bay Area collecting road data, but they were not operating in autonomous mode. Waymo plans to roll the I-Pace vehicles into its self-driving ride-hailing fleet in 2020.

The deal between Waymo and JLR is for up to 20,000 modified I-Pace vehicles to join the robotaxi service in the first two years of operation. The partnership is structured similarly to Waymo’s relationship with Fiat Chrysler Automobiles, which supplied the tech company with its Chrysler Pacifica Hybrid minivans.

Those minivans have become synonymous with Waymo’s testing and its Waymo One ride-hailing service in the suburbs of Phoenix.


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Google at CVPR 2019


Andrew Helton, Editor, Google AI Communications

This week, Long Beach, CA hosts the 2019 Conference on Computer Vision and Pattern Recognition (CVPR 2019), the premier annual computer vision event comprising the main conference and several co-located workshops and tutorials. As a leader in computer vision research and a Platinum Sponsor, Google will have a strong presence at CVPR 2019—over 250 Googlers will be in attendance to present papers and invited talks at the conference, and to organize and participate in multiple workshops.

If you are attending CVPR this year, please stop by our booth and chat with our researchers who are actively pursuing the next generation of intelligent systems that utilize the latest machine learning techniques applied to various areas of machine perception. Our researchers will also be available to talk about and demo several recent efforts, including the technology behind predicting pedestrian motion, the Open Images V5 dataset and much more.

You can learn more about our research being presented at CVPR 2019 in the list below (Googlers highlighted in blue)

Area Chairs include:
Jonathan T. Barron, William T. Freeman, Ce Liu, Michael Ryoo, Noah Snavely

Oral Presentations
Relational Action Forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid

Pushing the Boundaries of View Extrapolation With Multiplane Images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei

AutoAugment: Learning Augmentation Strategies From Data
Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, Quoc V. Le

DeepView: View Synthesis With Learned Gradient Descent
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, Richard Tucker

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas

Do Better ImageNet Models Transfer Better?
Simon Kornblith, Jonathon Shlens, Quoc V. Le

TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, Leonidas J. Guibas

Diverse Generation for Multi-Agent Sports Games
Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy

Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger

A General and Adaptive Robust Loss Function
Jonathan T. Barron

Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman

Composing Text and Image for Image Retrieval - an Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays

Learning to Synthesize Motion Blur
Tim Brooks, Jonathan T. Barron

Neural Rerendering in the Wild
Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla

Neural Illumination: Lighting Prediction for Indoor Environments
Shuran Song, Thomas Funkhouser

Unprocessing Images for Learned Raw Denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron

Posters
Co-Occurrent Features in Semantic Segmentation
Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie

CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang

Im2Pencil: Controllable Pencil Illustration From Photographs
Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang

Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer

Scene Graph Generation With External Knowledge and Image Reconstruction
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese

Spatially Variant Linear Representation Models for Joint Filtering
Jinshan Pan, Jiangxin Dong, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang

Target-Aware Deep Tracking
Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang

Temporal Cycle-Consistency Learning
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

Depth-Aware Video Frame Interpolation
Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang

MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le

A Compact Embedding for Facial Expression Similarity
Raviteja Vemulapalli, Aseem Agarwala

Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann

DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec

Detect-To-Retrieve: Efficient Regional Aggregation for Image Search
Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim

Fast Object Class Labelling via Speech
Michael Gygli, Vittorio Ferrari

Learning Independent Object Motion From Unlabelled Stereoscopic Videos
Zhe Cao, Abhishek Kar, Christian Hane, Jitendra Malik

Peeking Into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei

SpotTune: Transfer Learning Through Adaptive Fine-Tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogerio Feris

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le

Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen

Inserting Videos Into Videos
Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang

Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Fanello

You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
Zhourong Chen, Yang Li, Samy Bengio, Si Si

Interactive Full Image Segmentation by Considering All Regions Jointly
Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari

Large-Scale Interactive Object Segmentation With Human Annotators
Rodrigo Benenson, Stefan Popov, Vittorio Ferrari

Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lučić, Neil Houlsby

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

Using Unknown Occluders to Recover Hidden Scenes
Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell

Workshops
Computer Vision for Global Challenges
Organizers include: Timnit Gebru, Ernest Mwebaze, John Quinn

Deep Vision 2019
Invited speakers include: Pierre Sermanet, Chris Bregler

Landmark Recognition
Organizers include: Andre Araujo, Bingyi Cao, Jack Sim, Tobias Weyand

Image Matching: Local Features and Beyond
Organizers include: Eduard Trulls

3D-WiDGET: Deep GEneraTive Models for 3D Understanding
Invited speakers include: Julien Valentin

Fine-Grained Visual Categorization
Organizers include: Christine Kaeser-Chen
Advisory panel includes: Hartwig Adam

Low-Power Image Recognition Challenge (LPIRC)
Organizers include: Aakanksha Chowdhery, Achille Brighton, Alec Go, Andrew Howard, Bo Chen, Jaeyoun Kim, Jeff Gilbert

New Trends in Image Restoration and Enhancement Workshop and Associated Challenges
Program chairs include: Vivek Kwatra, Peyman Milanfar, Sebastian Nowozin, George Toderici, Ming-Hsuan Yang

Spatio-temporal Action Recognition (AVA) @ ActivityNet Challenge
Organizers include: David Ross, Sourish Chaudhuri, Radhika Marvin, Arkadiusz Stopczynski, Joseph Roth, Caroline Pantofaru, Chen Sun, Cordelia Schmid

Third Workshop on Computer Vision for AR/VR
Organizers include: Sofien Bouaziz, Serge Belongie

DAVIS Challenge on Video Object Segmentation
Organizers include: Jordi Pont-Tuset, Alberto Montes

Efficient Deep Learning for Computer Vision
Invited speakers include: Andrew Howard

Fairness Accountability Transparency and Ethics in Computer Vision
Organizers include: Timnit Gebru, Margaret Mitchell

Precognition Seeing through the Future
Organizers include: Utsav Prabhu

Workshop and Challenge on Learned Image Compression
Organizers include: George Toderici, Michele Covell, Johannes Ballé, Eirikur Agustsson, Nick Johnston

When Blockchain Meets Computer Vision & AI
Invited speakers include: Chris Bregler

Applications of Computer Vision and Pattern Recognition to Media Forensics
Organizers include: Paul Natsev, Christoph Bregler

Tutorials
Towards Relightable Volumetric Performance Capture of Humans
Organizers include: Sean Fanello, Christoph Rhemann, Graham Fyffe, Jonathan Taylor, Sofien Bouaziz, Paul Debevec, Shahram Izadi

Learning Representations via Graph-structured Networks
Organizers include: Ming-Hsuan Yang

The future of diversity and inclusion in tech


Silicon Valley is entering a new phase in its quest for diversity and inclusion in the technology industry. Some advocates call this part “the end of the beginning,” Code2040 CEO Karla Monterroso tells TechCrunch.

At first, advocates were focused on calling out the lack of diversity at tech conferences, pressuring companies to release diversity data and debunking the pipeline problem. Then the focus shifted to hiring heads of diversity and implementing unconscious bias training (more on this later, but it’s worth pointing out those things are on their own are not productive).

“We’re past the window dressing stage and now it’s time to talk about accountability, consequences, promotions and retention,” she says. “And what it means to prioritize things to make sure the industry is not inhospitable.”

While the diversity and inclusion movement has made some gains in the last few years, it has still suffered severe setbacks. On one hand, tech employees are recognizing their immense power when they speak up and organize. On the other hand, those accused of sexual harassment and misconduct are too often facing too few consequences. Meanwhile, people of color and women still receive too little venture funding, and tech companies are inching along at a glacial pace toward diverse representation and inclusion.

“I would characterize where we are now as a leap forward over the last 10 years and several steps sideways and a few steps backward,” Freada Kapor Klein, co-founder at Kapor Capital and the Kapor Center for Social Impact, tells TechCrunch. “[…] Any point you can make in a positive direction, there’s a countervailing negative. And similarly, any time you can raise a criticism, somebody can point to something hopeful.”

Plenty has been written about the problems regarding diversity and inclusion in the tech industry. Despite all sincere efforts to fix these D&I issues, it will never ultimately be fixed because the tech industry is a reflection of our society and all of its issues pertaining to race, gender and class.

That fact, however, does not mean there is no hope to be had. The future of the tech industry lies in the hands of everyday tech employees, new startup founders and investors with a fresh pair of eyes. And what’s become painfully clear is that commitment from the top is not optional.

But to get to the light at the end of the tunnel, the industry needs to come to terms with how it got to where it is today, the ineffectiveness of one-off initiatives like hiring a head of D&I and implementing a standalone unconscious bias training, and what it will take to get where it needs to go. 

The old (white) boys club

Silicon Valley is a predominantly white, male industry that is notoriously bad at welcoming and celebrating people from diverse backgrounds. This old boys club has put people of color and women at a disadvantage since the earliest days of the industry, and it continues to do so.

The current movement for diversity and inclusion started more than 10 years ago. At the time, there was talk about the lack of gender representation at tech conferences and the old boys club.

In his 2007 essay, “The Old Boys Club is for Losers,” Anil Dash, current Glitch CEO and then-co-founder of ThinkUp, the first analytics tool for social media, describes how those who defend the status quo of the white male in tech are defending a culture of failure. He argues: “Those who are reaching out to include all members of their community, who are seeking out new ideas and voices, are not only winning, they’re the only ones who will continue to win. You may succeed in defending the boys-only nature of your treehouse. But you’ll be dooming yourselves to irrelevance.”

In 2019, many people would welcome Dash’s take. But 2007 mainstream techies had a different understanding of diversity — so different that Dash was convinced hitting publish meant the end of his time in the tech industry, he tells TechCrunch.

“I was lucky enough to have a platform and then a profile to be able to say something,” Dash says. “I was also convinced that was the end of my career. I was like, ‘well, the hell with this, I’m done. I’m leaving San Francisco so I might as well burn some bridges.’ It’s funny now, because I think a lot of people would say there’s an old boys club in Silicon Valley. And it’s very exclusionary, and these are things we’ve got to tackle.”

Dash says he remembers exactly where he was sitting when he hit publish on the post. That’s because he thought no one would let him back into the industry.

“Fortunately, that has turned out to not be the case,” Dash says. “The Overton window has shifted a little bit in a way that is interesting and meaningful. At the same time, the problem hasn’t shifted. The difference is that we can talk about the problem, but that doesn’t mean we’re fixing the problem.”

Ellen Pao, co-founder at Project Include who was thrust into the spotlight during her lawsuit against Kleiner Perkins Caufield & Byer, agrees. In 2012, Pao filed a lawsuit against her then-employer alleging gender discrimination and workplace retaliation. In 2015, a jury denied Pao’s claims of discrimination.

“When I sued, people called me outright crazy and treated me like a liar,” Pao tells TechCrunch. “Apparently that was the first time people were really hearing about it in a public light and they couldn’t process it. Today, so many people have told their stories and so many people have called attention to the problem that people are admitting it’s a problem.”

What’s different today is that the attitudes have changed from “let’s ignore it to let’s do something about it,” she says.

BOSTON, MA – DECEMBER 10: Entrepreneur, investor, writer Ellen Pao speaks on stage during Massachusetts Conference For Women at Boston Convention & Exhibition Center on December 10, 2015 in Boston, Massachusetts. (Photo by Marla Aufmuth/Getty Images for Massachusetts Conference for Women)

“The problem is not that much has really been done about it,” Pao says. “Companies are treating it as a PR crisis and strategy. It’s not an operational imperative to them so you don’t see much change. You see the constant problems coming up again and again.”

Pao points to Uber, which eventually ousted its co-founder Travis Kalanick as CEO following damning allegations from engineer Susan Fowler regarding sexual harassment at the company. Pao thinks the company really hasn’t changed that much despite having a new CEO, Dara Khosrowshahi, in place.

“It’s not the same horrible problems, but you still don’t see a lot of diversity,” she says.

And then there’s Tesla, which Pao calls a “trash fire.”

Last year, black Tesla factory workers described a culture of racism and discrimination at the electric car maker’s factory in Fremont, Calif.

“I think there’s still a ton of work to do,” Pao says. “The change in attitude and the fact that people are actually responding to people sharing their experiences is a huge change, but it’s far from sufficient.”

Lip service

When Google released the industry’s first diversity report in 2014, it kickstarted a diversity and inclusion strategy rooted very little in action. Today, many people refer to that phenomena as lip service, which is when people talk the talk but don’t walk the walk.

In 2014, Google reported it was 61.3 percent white and 69.4 percent male. Fast forward to today, and Google is 54.4 percent white and 68.4 percent male. The numbers have barely moved over the years. Looking at both FAANG (Facebook, Amazon, Apple, Netflix and Google) and A-PLUS (Airbnb, Pinterest, Lyft, Uber and Slack) companies today, tech employees are still predominantly white and Asian.

At Facebook, there has been little change to its employee demographics in terms of the proportion that underrepresented minorities make up of the entire employee population. But Facebook Chief Diversity Officer Maxine Williams points out that there has been quite a lot of change within individual groups. For example, Williams tells TechCrunch that Facebook has increased the number of black women by 25x and black men by 10x over the last five years.

“There has been a lot of change,” Williams says. “Has there been as much as we want? No. And I certainly think we have the issue of when we started focusing on D&I in a very deliberate way. The company was already nine years old with thousands of people working here. The biggest takeaway is that the later you start, the harder it is.”

That’s the general state of the tech industry as a whole. While there has been some improvement in representation at these tech companies, there has not been nearly enough.

“I do think diversity reports hold them a little bit accountable,” Pao says. “It looks bad if they go backward. I do think it’s important because they should be looking at all of these numbers internally. But it’s unfortunate that they really look to the press to guide their strategy and attention.”

Where these numbers need to be, according to Pao, is at 13 percent for black employee representation and 17 percent for Latinx representation in order to reflect the demographics of the U.S. population.

In her work with startups via Project Include, Pao advises them to set 10-10-5-45 targets. The first two are to aim for 10 percent black and 10 percent Latinx employees. From there, those targets should increase to 13 percent and 17 percent.

“No one is close to that,” Pao says. “There isn’t a startup that’s actually where it should be. All of them are problematic.”

Discounting Apple and Amazon (both declined to comment for this story) — due to the fact that their numbers are inflated because of their respective retail and warehouse employee populations — the company closest to achieving full representation of black and Latinx employees is Lyft. Lyft is 9 percent Latinx and 10.2 percent black, according to its 2018 diversity numbers.

And since gender is non-binary, at least 5% of a company’s workforce should identify as such and the remaining 45% should identify as female, according to Pao.

But one diversity scandal after another proves a couple of things. One is that there’s still not enough representation. The second is that there are still structural issues in place that create non-inclusive work environments and can fuel imposter syndrome. These structural issues entail things like an inconsistent performance review process, unclear and arbitrary paths to promotion, an ambiguous process for reporting bad behavior and secret conversations known as backchanneling. These private backchannels can create exclusive environments that prevent open, productive conversations. 

This is where inclusion efforts — ideally with the buy-in from the CEO — can help. Without true inclusion, any diversity progress made will not last.

“We’re never going to make any progress by adding talent from diverse backgrounds if we don’t fix the inclusion and culture issues,” Kapor Klein says.

Some companies have implemented unconscious bias training, but this initiative alone does not make statistically significant differences, either in reducing the incidence of bias or unfairness or increasing retention, Kapor Klein says.

DETROIT, MI – MAY 05: Lotus 1-2-3 Developer/honoree Mitchell Kapor and wife Founder of the Center for Social Impact and Partner at Kapor Capital/honoree Freada Kapor Klein speak at the 17th Annual Ford Freedom Awards at Max Fischer Music Center on May 5, 2015 in Detroit, Michigan. (Photo by Monica Morgan/WireImage)

“There is increasing serious research pointing out that unconscious bias training, especially as a one-off, is not only ineffective, it can be counterproductive,” she says. “What happens is people say, ‘Ok, I checked that box. I went to one hour of unconscious bias training so that must undo the 29 years I’ve lived on this planet getting biased input every day.’ I think we have to look at not just what’s ineffective but what actually either promotes backlash or is indeed counterproductive.”

This is where heads of diversity and inclusion are theoretically supposed to come in. Unfortunately, they are not always set up to succeed within organizations and can end up becoming companies’ instruments for lip service.

“I don’t know that anyone [a head of D&I] has done it in an impactful way where this person reports into the CEO and has the authority to stop other executives from making really bad decisions related to diversity and inclusion,” Pao says. “Most of them are under the head of HR or people or under legal. They’re not empowered and they don’t have the team or the authority and there’s no metric that they can push people toward and hold people accountable to. They’re in this weird role where a lot of it is external facing.”

Take Google, for example. The company is on its third head of diversity since 2016 and has some of the more outspoken employees who are fed up with Google’s culture.

“Let’s just call it like it is,” Leslie Miley, a former engineering manager at Twitter, Google and Apple, tells TechCrunch. “Google can’t keep a D&I person.”

In April, Google’s chief diversity officer, Danielle Brown, left the company to join payroll and benefits startup Gusto. Google brought Brown on board following Nancy Lee’s exit from the company in 2016. At the time, it was understood that Lee was retiring but has since joined electric scooter startup Lime as its chief human resources officer. Lee, however, tells TechCrunch she was not sure if her retirement would be permanent or not.

“It’s a thankless job,” Miley says. “I think at most companies it’s thankless. Danielle Brown is a really good example of this. You’re criticized by people for not doing enough, criticized by people for trying to do too much. There will always be a fight for resources, accountability. And when you’re at the intersection of gender, ethnicity and sexual orientation, that makes a lot of people fundamentally uncomfortable. And it just wears on you.”

Another issue with this role is that it too often reports to the human resources department, rather than directly to the CEO. With human resources, Miley says, that role is about limiting the liability of the company. So if that’s the department to which a head of diversity and inclusion reports, it’s hard to effect change that is in service of employees.

Lee, who is now in a human resources role, says the effectiveness of a diversity lead who reports to HR depends on the relationship HR has to the rest of the executive team.

“But if you have a company that is particularly lacking in diversity, then maybe there does need to be a D&I person who reports directly to the CEO,” she says.

Monica Poindexter, the newly appointed head of inclusion and diversity at Lyft, reports to Lyft’s VP of Talent and Inclusion but says there is a strong commitment from Lyft co-founders John Zimmer and Logan Green. While she’s confident in Lyft’s approach to diversity and inclusion, as well as some other companies’ individual approaches, she takes issue with the fact that everyone is trying to attack the problem from a multitude of different ways.

“If there was an opportunity to align on one or two tech industry-wide initiatives as it relates to XYZ, then we could have a collective impact,” she tells TechCrunch, “The one thing could be around if we need to evolve the tech interview process and assessing our hiring processes to understand when and how we can improve the opportunities in creating greater pathways for diverse populations.”

Over the years, groups of diversity and inclusion leaders have formed but they haven’t stuck around.

“Quite honestly, there is a lot of change in these roles,” she says. “There might be some momentum at one point but it also depends on how much support that one head of D&I has. The idea of getting them all together — that’s been done — but if we’re really going to influence this, it should be the heads of the tech companies that get together to talk about some of these challenges.”

Candice Morgan, head of inclusion and diversity at Pinterest, has one of the longest stints at any tech company’s diversity and inclusion department. She’s been there since January 2016, “which in tech years, but also D&I years, is a long amount of time,” she tells TechCrunch.

“In the last three years, there have been some major changes in the industry more broadly and in our approach,” she says.

2016 was the first time Pinterest set public hiring goals and was very focused on recruiting, Morgan says. The following year, Pinterest focused a lot more energy around inclusion, and hired an inclusion specialist, increased the amount of employee resource groups and started looking at managers based on employee engagement scores.

“We identified managers that were exceptionally inclusive,” Morgan says. “On the other side, we looked at managers getting average scores around inclusion. We asked ourselves what these inclusive managers were doing differently. They displayed a huge growth mindset, they were more likely to be humble and talk about mistakes and saw failure as opportunities to grow.”

From there, Pinterest built an inclusive management handbook and training based on its learnings. And Pinterest integrated its unconscious bias training into its orientation in 2017.

Despite the common idea that diversity and inclusion leaders have little agency, Morgan seems to have a bit more sway than some of her peers. Morgan attributes that to the relationships she’s built during the amount of time she’s been at Pinterest. In January, for example, Pinterest unveiled more inclusive beauty searches on its platform. As Pinterest stated at the time, the product feature was a result of a collaboration between the company’s technical and D&I teams working together.

“Every single one of us is doing this work,” Morgan says. “We are gaining influence in a number of ways, we’re constantly coaching leaders and so when you start to build those relationships with them, you’re very much a business partner and you can influence them. With the skin tone work, it started as something on the side that we needed to socialize a number of times.”

This year, Morgan says she’s been especially focused on microaggressions, subtle behaviors that can lead to people feeling excluded. They can be anything from commenting on a black person’s hair to using gendered language. Another example, which former Uber engineer Susan Fowler Rigetti pointed to in her damning post about Uber, is only offering company swag in men’s sizes.

As part of Morgan’s work, she’s identifying the “behaviors we can intercept to create micro-affirmations.” Micro-affirmations are small, inclusive behaviors that offer encouragement and validation to others.

“I taught a class with my inclusion program specialist focused on microaggressions and raising awareness around subtle behaviors and how they make people feel,” she says. “There is a tendency for companies or individuals to pat themselves on the back, but what happens there are more subtle ways people can feel excluded or included. I’ve been spending a lot of time creating these roundtables where we put our leaders together.”

For example, she’s had discussions with Pinterest’s head of engineering and underrepresented engineers to discuss what does belonging look like on the engineering team. Every senior engineer, she says, has gone through one of those sessions.

Having a diversity and inclusion leader can surely be effective, and can be most effective if that leader has the ability to effect change and interface with senior leaders — preferably, the CEO. But only two D&I initiatives, Kapor Klein says, can make a difference as standalone. That’s setting specific diversity goals and giving a differential bonus for employee referrals of diverse talent.

“What’s fascinating to me is that those two initiatives require CEO support and also very sophisticated senior management support because both of those initiatives encounter backlash,” she says.

And for either one of those to be effective, there has to be an enlightened senior management team that understands the nuance and can push back when the CTO or a VP of engineering or anyone else says, ‘Wait a second, that’s quote, unquote, reverse discrimination or that’s unfair,’ or however they push that. So to be able to talk about what it means to create a level playing field requires a CEO who has some degree of sophistication and understands the nuance of the issue.”

The data says that “no matter how many bells and whistles you put into place, there is no substitute for an unequivocal commitment from the top,” she says. “Whoever is around that table needs to have a diversity lens when any business issue is being talked about.”

If five key initiatives are in place, however, there can be a significant change, she says. That brings Kapor Klein to her comprehensive approach, which she first outlined more than 10 years ago in “Giving Notice.”

Investing in diverse folks

Another contributor to this overall lack of diversity in tech is the lack of funding that goes to underrepresented founders. Last year, female founders brought in just 2.2 percent of U.S. venture capital dollars. And it surely doesn’t help that less than 10 percent of decision-makers at VC firms in the U.S. are women.

“I want to also share that it’s not just a lack of funding, it’s that women are treated differently,” Women Who Tech founder Allyson Kapin tells TechCrunch.

Kapin points to a survey that Women Who Tech conducted a couple of years ago that found, of the 44 percent of women who reported harassment, 77 percent of them said they experienced sexual harassment as founders. And 65 percent of those sexually harassed reported being propositioned for sex in exchange for funding, Kapin says.

“There is not an even leveled playing field,” Kapin says. “You can have incredible traction, but women-led startups face barriers in terms of how critiqued they are and now you bring in a whole other level of sexism, sexual harassment and grossly propositioning women for sex in exchange for funding.”

Unfortunately, it’s an even starker picture for black female founders. While the number of black women who have received more than $1 million in investment is growing, the number is still small. In 2015, there were 12 black women who had raised more than $1 million in funding, according to digitalundivided’s new ProjectDiane report. In 2017, there were 34.

Still, the median amount of funding raised by black women is $0. That’s because the majority of startups founded by black women receive no money. Of the black women who raised less than $1 million in funding, the average raised amount is $42,000. In total, according to digitalundivided, black women have raised just .0006 percent of all tech venture funding since 2009.

“The founders are leaving VC behind,” Backstage Capital Founding Partner Arlan Hamilton tells TechCrunch. “They tried, they asked, they asked nicely and VCs are not biting. I have a little bit more fuel in me to keep beating this drum of institutional investors and LPs, but it’s very soon going to be leaving them behind at the station, and they’re going to look up and ask, ‘Why wasn’t I in this deal?’ And the same way I was yelling at people four years ago saying black people make companies, the same thing is going to happen here. I’m over them.”

SAN FRANCISCO, CA – SEPTEMBER 05: Backstage Capital Founder and Managing Partner Arlan Hamilton speaks onstage during Day 1 of TechCrunch Disrupt SF 2018 at Moscone Center on September 5, 2018 in San Francisco, California. (Photo by Kimberly White/Getty Images for TechCrunch)

Backstage Capital, which is designed to exclusively invest in black founders, closed its first $5 million fund toward the end of 2016. Hamilton is in the process of closing a second $36 million fund to continue investing in people of color, despite false reports that she had given up.

“There was never a point ever that we stopped raising for the fund,” Hamilton tells TechCrunch. “There was never a point where we thought about stopping. We are in the middle of raising for the fund. It’s taking longer than we hope. The story is why does it take so long to raise a drop in the bucket of a fund. Why are people dropping out? Why are people not stepping up?”

Since its inception, Backstage Capital has invested in more than 60 startups led by underrepresented founders. What initially drove her was the fact that “there were people being overlooked for ridiculous reasons and that oversight was an opportunity.”

“It couldn’t stay that way without something breaking, and something has broken,” she says. “It has broken in a good way — breaking good. You see it almost every day there’s some other announcement about a black or brown founder or LGBT person defying odds.”

Hamilton points to success stories like Jewel Burks, who sold her company Partpic to Amazon, and Morgan DeBaun, whose media company Blavity is objectively killing it.

“This is the proof in the pudding that makes me know today that my instincts are right and what I’m saying comes true,” Hamilton says. “If you saw what happened the last few years, you have to believe there’s something I’m saying today that will come true.”

Within Backstage Capital’s portfolio, Hamilton says we’ll see founders in the next 18 months announce revenue “out of this world” and raise significant rounds. There’s a lot that is very promising to her, despite the lack of support from institutional investors.

There are very few black and Latinx investors, with only 2 percent of investment team members at VC firms identifying as black and just 1 percent identifying as Latinx, according to the National Venture Capital Association.

But there are some other funds cropping up that are run by black women and women of color, Hamilton says. There’s also Lo Toney, formerly of GV, who recently raised $35 million to fund diverse investors via Plexo Capital.

Still, the industry needs more than just a handful of people making a point to fund folks from diverse backgrounds.

“I don’t think institutional [VC] will get their act together fast enough,” Hamilton says.

There’s also an inherent economic privilege that plays into this. The racial wealth gap is vast and it surely impacts some potential founders of color to pursue startups. The median white family in the U.S. has 41 times the amount of wealth than the median black family and 22 times more wealth than the median Latinx family, according to the Institute for Policy Studies.

While white founders may have the support of their wealthy parents or grandparents during the early days, people of color don’t always have that to fall back on. There is some hope, however, with presidential candidate Sen. Elizabeth Warren. Last week, Warren called out venture capital for failing diverse founders and unveiled a plan to support founders of color

This plan would provide cash to founders of color who don’t have access to the generations of wealth to which their white counterparts have.

One step forward, two steps back

While some progress has been made, it’s undeniable that the industry has taken some steps back. People have become better versed in what’s going on and are more willing to speak up. Additionally, there has been some demographic representation progress made.

“While those changes are happening very slowly, we do see progress being made in some organizations along both gender, race and ethnicity lines,” Paradigm CEO Joelle Emerson says.

“I think another is a sort of nuance being added to the conversation,” Emerson says. “I’ve seen a lot more companies set clear goals around the parts of the employee lifecycle rather than looking year over year. Instead, they’re asking more granular questions around compensation, hiring, promotions and employee sentiment.”

Emerson, who has worked with tech companies like Slack and Pinterest over the last few years around diversity and inclusion, says this wasn’t happening four years ago. Companies, she says, were not comparing employee experiences around engagement, belonging, voice and access to resources.

Instead, “they were thinking about the end of the day message about who is here and not looking at how people get there. They weren’t looking at what they were doing internally.”

“The third piece is a more nuanced conversation about what diversity and inclusion even means,” Emerson says. “There are conversations about the populations we should be talking about, and intersectionality, age, disability and economic status. There’s just a more robust conversation even being had. A lot of that is driven by employee activism.”

Photo by AP Photo/Bebeto Matthews

What’s driving that employee activism are the steps being taken in the wrong direction. When 20,000 Google employees walked out in November, they were protesting the company paying $105 million to two executives accused of sexual harassment. They also made five key asks, but Google has only followed through on one.

In February, Google ended forced arbitration for its employees as it relates to any case of discrimination. While technically a win, it didn’t apply to the temporary contractors Google employs. Meanwhile, Google did not meet the other four demands, which entailed committing to end pay and opportunity inequity, disclosing a sexual harassment transparency report, implementing a process for people to anonymously report sexual misconduct and elevating the chief diversity officer to report to the CEO.

Harassers land on their feet much more easily than the people who accuse them. And that’s a big problem Freada Kapor Klein, Co-founding Partner at Kapor Capital

Since then, however, things have only gotten worse. Google employees were forced to organize yet again in May, when employees staged a sit-in to protest the alleged retaliation toward employees at the hands of managers.

In May, two Google employees accused the company of retaliating against them for organizing the walkout. Meredith Whittaker, the lead of Google’s Open Research and one of the organizers of the walkout, said her role was “changed dramatically.” Fellow walkout organizer Claire Stapleton said her manager told her she would be demoted and lose half of her reports.

At the time, a Google spokesperson said:

“We prohibit retaliation in the workplace and publicly share our very clear policy. To make sure that no complaint raised goes unheard at Google, we give employees multiple channels to report concerns, including anonymously, and investigate all allegations of retaliation.”

Since then, Googlers have demanded Alphabet CEO Larry Page step in and force Google to meet the demands of its employees.

Miley, however, is not surprised little has changed at Google. Roughly 20 percent of employees walked out, but Miley thinks it would’ve been more impactful if 50 to 60 percent of employees walked out.

“I support the walkout and the aims of the walkout,” Miley says. “I support the issues they put out there and the demands they made. I think they went about it wrong.”

Miley is referring to the fact that the organizers were public about their intent to walk out.

“If it were me, I just would’ve walked out and then came back with demands,” he says. “People want to believe that Google wants to do the right thing. No, Google is a company. Companies know how to limit the powers of employees.”

Google’s not the only company that has faced inner turmoil following reports of harassment. Employees at Riot Games similarly walked out over harassment issues in May.

The thing with harassment, unfortunately, is that even if the accused admit to wrongdoing, they have a way of bouncing back. And sometimes they get paid millions of dollars on their way out. It all relates back to the old boys club.

Many of the people in this old boys club tend to face few consequences for their bad behavior, Pao says. Dave McClure stepped back at 500 Startups following sexual misconduct allegations, which he later admitted to. Today, McClure is reportedly raising money for a new fund. McClure declined to comment for this story.

“We’re allowing all of these people back into the community who have been problematic, or we allow them to stay,” Pao says. “They don’t even have to leave and come back.”

Then there’s former SoFi CEO Mike Cagney, who was ousted from the company following a sex scandal, and went on to found another company and raise $50 million for it last year. Earlier this year, Cagney raised another $65 million.

“Despite the hashtag Me Too in Hollywood, and then its reverberations in venture capital, and in tech, we have seen a remarkable rebound effect for harassers,” Kapor Klein says. “Harassers land on their feet much more easily than the people who accuse them. And that’s a big problem.”

Kapor Klein also pointed to investors Chris Sacca, Steve Jurvetson and Justin Caldbeck.

“You can name white guy after white guy,” she says.

Jurvetson and Caldbeck declined to comment for this story. Sacca did not respond to TechCrunch’s request for comment.

A question that’s come up in light of these sexual harassment allegations and eventual comebacks of harassers pertains to whether people can change and redeem themselves. The biggest question is if these people should be allowed to stay in the tech industry or be forever blacklisted.

“Well, I do believe people can change,” Kapor Klein says. “But I don’t think people change in six to 18 months. I am unaware that any terms were written into any of their new contracts, which I would insist on.”

What’s become clear over the last year is that workers are no longer willing to be silent. Many have recognized the power they wield as employees of companies that depend on them for a healthy bottom line. Moving forward, however, it’s going to take more organizing to effect real change, Miley says.

“I don’t think change’ happens unless you have that type of organizational structure and support and firepower to beat back the outsized influence of essentially very few people,” he says. “I think it’s going to take employees unionizing because it is very clear that the people benefiting from the systems are not going to change them.”

The light at the end of the tunnel

Larger tech companies are in too deep, but there’s some hope to be had with startups. Once a company hits a certain number of employees, it’s hard to make meaningful change. But if you start from day one, there’s a good chance you can do it right.

Project Include, founded by Pao, Kapor Klein, Baker, Tracy Chou and others, works with a few companies at a time around fostering diversity in an inclusive, comprehensive and accountable way.

“If there are enough of them who are more progressive and become successful, that could change the nature of tech,” Pao says.

Project Include, a nonprofit organization, is a resource for people to implement change around diversity and inclusion in the tech industry. The project is focused on small to mid-stage startups, meaning anywhere from 25 to 1,000 employees.

“Through Project Include, we’ve seen some startups that are really trying to change and I do think this new generation of startups have several CEOs who are committed to making their companies inclusive,” Pao says. “I see them really thinking about the future and seeing that the world is changing and seeing that the workforce is very different, and if they focus on white male employees they’ll lose the other three-fourths of the workforce. I think they understand it’s not sustainable and will put them at a huge disadvantage.”

Pao says she feels reassured by the likes of Asana CEO Dustin Moskovitz and Twilio CEO Jeff Lawson who clearly want to change and treat diversity and inclusion as an imperative.

“It’s reassuring to see they’re committed to putting time and energy into it and if they are open-minded and have an inclusive culture, you can see from the numbers that they are doing better,” Pao says. “You can see change is happening, and people starting from scratch can change.”

We’re also approaching a period of time when the U.S. will no longer be a majority white country.

“The march of demographics is unstoppable,” Kapor Klein says.

By the year 2044, the U.S. will become a majority-minority nation, with white people making up less than 50 percent of the nation’s population, according to the U.S. Census.

The impending demographic shift plus critical mass make a diverse workforce inevitable.

“Critical mass, which has been a concept around for a long time in social science, has some real legitimacy,” Kapor Klein says. “And we’ve all felt it. We’ve all felt the fear of speaking up if we’re an only in the room. And we all understand that when there are enough of us, whoever the ‘us’ might be, that it gives much more freedom to speak up.”

Critical mass, depending on who you talk to, can range between ten to 30 percent. In the tech industry, that would mean an industry that is 30 percent diverse in order for the adoption of diversity and inclusion to become self-sustaining.

“Once you get to critical mass, whether it’s on the team in a division, but especially in a company or in an ecosystem, then you very rapidly shift in culture,” Kapor Klein says. “So I’m hoping that we are on this long, sometimes hopeful, sometimes hopeless march. But it is a steady march toward critical mass.”

The urgent tasks at hand

Until we reach critical mass, there are some urgent tasks at hand. These entail:

  • Implementing clear diversity representation and inclusion goals, and a comprehensive approach to achieve them
  • Investing more money in folks of color and female founders
  • For workers, continuing to organize and speak out against tech employers
  • Cross-company executive collaboration 

It’s a pretty straightforward list, but one that will take intent, organization and work to tackle.

“I think we may have hit the limits of easy wins and everything else now is hard,” Miley says. “And it’s hard because it’s not which program you can sponsor, it’s not having an apprenticeship program, and it’s not increasing the types of people in your pipeline. It’s the hard work of transforming your workforce to understand the value people bring to the table is not necessarily your path. You sit and go through what people say in Blind about people lowering the bar, people wanting to maintain the culture. They hold onto it like they’re constipated. I don’t get it.”


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Huawei says US ban will cost it $30B in lost revenue

5G reportedly coming to premium iPhones in 2020, all models in 2021


The latest report from renowned Apple leaker Ming-Chi Kuo already has an eye on 2020 and beyond. The news lines up with other reports around future iPhones, noting that the high-end versions of the handset are set to get 5G in the second half of next year. By 2021, all models are set to be on-board with the next-gen wireless standard.

The report is inline with recent rumors that have the company holding off on 5G until 2020. That puts Apple somewhat behind the curve of a number of Android manufacturers who have been racing to get the technology to market. Of course, those companies (including Samsung, LG and even OnePlus) may be putting the cart before the horse, with wireless carriers providing extremely limited access to the tech through the end of 2019.

Apple’s push into 5G is believed to be a primary driver behind the company’s recent decision to make nice with Qualcomm, though Kuo believes that the company is shooting for 2022/2023 to begin manufacturing its own wireless chips. That would help Apple further divorce itself on reliance from third party component makers, which seems to have been the plan all along.

The report has Apple continuing to release three models of iPhone later next year. The list includes a 5.4 inch and 6.7 inch OLED models, making the smaller iPhone even smaller and the larger even larger. The XR successor, meanwhile, would maintain a 6.1 inch display, getting upgraded to OLED next year, while only offering up an LTE modem — a move that could muddy the waters a bit for consumers.


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Comcast adds gaze control to its accessible remote software


The latest feature for Comcast’s X1 remote software makes the clicker more accessible to people who can’t click it the same as everyone else. People with physical disabilities will now be able to change the channel and do all the usual TV stuff using only their eyes.

TVs and cable boxes routinely have horrendous interfaces, making the most tech-savvy among us recoil in horror. And if it’s hard for an able-bodied person to do, it may well be impossible for someone who suffers from a condition like ALS, or has missing limbs or other motor impairments.

Voice control helps, as do other changes to the traditional 500-button remote we all struggled with for decades, but gaze control is now beginning to be widely accessible as well, and may prove an even better option.

[gallery ids="1844437,1844439,1844436"]

Comcast’s latest accessibility move — this is one area where the company seems to be genuinely motivated to help its customers — is to bring gaze control to its Xfinity X1 web remote. You load it up on a compatible computer or tablet, sync it with your cable box once, and then the web interface acts as your primary controller.

Users will be able to do pretty much all the everyday TV stuff using gaze: change channels, search and browse the guide, set and retrieve recordings, launch a live sport-tracking app, and call up and change accessibility options like closed captioning.

A short showing how one man finds the tech useful is worth a watch:

It’s amazing to think that among all the things Jimmy Curran has worked to make himself capable of in spite of his condition, changing the channel was not one of them. Perhaps there was some convoluted way of going about it, but it’s still an oversight on the part of TV interfaces that has limited accessibility for years.

Voice controls may also be more easily usable by people with conditions that affect their speech; Google is applying machine learning to the task with its Project Euphonia.

Users will need a gaze control setup of their own (this isn’t uncommon for folks with physical disabilities), after which they can direct the browser on it to xfin.tv/access, which will start the pairing process.


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How to Pick the Right Components for Building Your Next PC


right-components-build-pc

When you’re selecting parts to build a PC, an important concept to be aware of is balance. You need your components to be appropriately powerful for whatever use you intend your PC for.

What Is a Balanced Build?

pc-builder-needs

A balanced build is one in which all the different components are of a comparable level. In a balanced build, your system won’t be harshly bottlenecked by one lagging component, so you get the most performance for your money.

For example, you wouldn’t want to have a low-wattage power supply if you plan on using a pair of super powerful graphics cards. In this case, the graphics cards won’t get enough power and you won’t get the most use out of them.

Similarly, if you have an ancient motherboard and processor, then there’s no point in buying more RAM and hoping it will make your system run faster.

Selecting the Right Components for Your Needs

When it comes to choosing your parts, which components will be most important for you depends on what purpose you’ll be using your PC for.

Gaming PC

For gamers, the most important component in a PC is the graphics card. The higher settings you want to use on your games, the more powerful your GPU will need to be.

Depending on the types of games you play, you will likely need a solid CPU as well. This is particularly important for calculation-heavy games like Civilization, Grand Theft Auto, or Cities: Skylines.

You will also want plenty of hard drive space to store all your games. If you are flush with cash, you can buy a large capacity SSD for super fast loading times. But if you want to keep to a lower budget, get a smaller SSD for your operating system and a larger HDD for your games.

Powerful hardware means lots of heat being generated, so you’ll also want good cooling and plenty of fans. And you’ll need a relatively high wattage power supply to feed those power-hungry components.

However, a gaming PC doesn’t have to be expensive. If you play resource-light games like Fortnite or PUBG and you’re willing to compromise on graphics settings, you can build a cheap gaming PC for well under $1000.

Video Editing

If you edit videos frequently, for example because you’re a YouTube content creator, then your build will need plenty of RAM. When you edit a video file, your system needs space to hold the file in memory as you work on it, and that is what RAM does.

Unlike gamers who can get away with 8GB of RAM in most cases, content creators will want 16GB, 32GB, or even 64GB of RAM. This will make editing video files go more smoothly.

On the other hand, if your priority is rendering videos quickly, you’ll need to spend more on the processor and graphics card.

You’ll also need a large hard drive to store your media. If you can afford an SSD that would be ideal, but generally that will be too expensive so you’re better off with a 1TB HDD instead.

Graphic designers and photo editors will want plenty of RAM too. Editing images doesn’t require as much RAM as editing video, but if you’re working with high resolution images or large batches of images then you’ll benefit from more RAM as well.

Productivity

If you plan to use your PC for work and for common productivity tasks, then you won’t need an expensive graphics card, a large hard drive, or a huge amount of RAM. Instead, what you should focus on is getting the best processor you can afford.

The processor is the limiting factor for more software applications, especially if you multitask a lot. Having a better processor will make your applications open faster in many instances.

In addition, getting a good processor means you won’t need to upgrade your system so often. If, later down the line, you decide you want to upgrade your graphics card or RAM, you can easily do so without replacing your processor or motherboard.

Media Center

If you’re building a PC to act as a media center for your living room, your requirements will be quite different. First and foremost, you won’t need a powerful CPU or graphics card unless you’re planning to use the media center PC for gaming. You can get away with using cheaper, lower-end components. You will need a large capacity hard drive to store your files but a HDD will do just fine, rather than a SSD.

However, you may want the media center to be compact, so in that case you’ll need a smaller case and compatible, low-profile components. Some coolers, for example, are too wide to fit inside smaller cases.

Another big factor in building a media center PC is how much noise it generates. It’s pretty annoying when you’re trying to watch a movie and you’re distracted by loud, whining fans.

To keep your media center quiet, look for quiet fans. These will spin at a lower rate, producing less noise. Alternatively, you can manually set your fans to spin at a lower rate to keep them quiet. To learn more, check out our advice on how to get your PC fans running cool and quiet. You can also mount the hard drive with rubber grommets to minimize noise from it spinning.

Space Saving

You might consider building a small PC for a couple of reasons. Firstly, perhaps you have limited desk space and you want a PC with a small footprint. Secondly, you might want a more portable PC if you attend LAN events regularly.

Finally, sometimes you or a family member just needs a simple machine for basic tasks, and you can build something that is compact and cheaper than a full-size case.

For this type of project, you’ll want to choose a motherboard that is either Micro-ATX vs Mini-ITX. Micro-ATX is small, but Mini-ITX is even smaller. You can select the right format by first choosing the case you want, then picking the largest motherboard size that will fit inside. Once again, you’ll need a low profile cooler.

You will likely also need a smaller graphics card. Fortunately, today many graphics card manufacturers produce versions of graphics cards which have all the same power as a larger card, but in a miniature form. To really save space, you can try an M.2 drive for your storage instead of a HDD or SSD.

Finally, don’t forget that airflow and cooling will be more of an issue in smaller builds as there is less space for air to move between components. Make sure you have enough fans in your build and keep an eye on the temperatures inside your PC to make sure it doesn’t overheat.

To learn more about smaller builds, check out our guide on how to build a small PC.

Choose Components Based on Your PC Requirements

The great thing about building your own PC is that you can configure it to meet your specific needs. These tips will help you make good component choices to get the best performance for whatever particular tasks you’ll be using your machine for.

Once you’ve selected your components, head over to our how to build your own PC guide for information about putting your system together.

Read the full article: How to Pick the Right Components for Building Your Next PC


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