A.I. Articles of the Week, Mar. 2018 #1

Shan Tang
4 min readMar 6, 2018

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Hiring Data Scientists Step 1: Stop Looking for Data Scientists.

A practical guide to the companies who think they need data scientist but don’t really know what they need.

Hacking the Brain With Adversarial Images

Researchers from Google Brain show that adversarial images can trick both humans and computers, and the implications are scary

Benchmarking Google’s new TPUv2

“Nine months after the initial announcement, Google last week finally released TPUv2 to early beta users on the Google Cloud Platform. At RiseML, we got our hands on them and ran a couple of quick benchmarks. Below, we’d like to share our experience and preliminary results.”

Learning by playing

Getting children (and adults) to tidy up after themselves can be a challenge, but we face an even greater challenge trying to get our AI agents to do the same. Success depends on the mastery of several core visuo-motor skills: approaching an object, grasping and lifting it, opening a box and putting things inside of it. To make matters more complicated, these skills must be applied in the right sequence.

Big tech company social capital among AI thought leaders: Who’s up and who’s down over the past year

a social network analysis of the artificial intelligence thought leadership space online and a measure of the social capital of eight big brands inside that space.

A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018

Google debuts AdSense ‘auto ads’ with machine learning to make placement and monetization choices

Google is debuting “Auto Ads” — not commercials for cars, but a new ad format that uses machine learning to “read” a page to detect and place what kinds of ads might be appropriate to place there, including where to place them, and how many to run. Publishers activate Auto Ads with a single line of code on the page.

Baidu’s voice cloning AI can swap genders and remove accents

Chinese AI titan Baidu earlier this month announced its Deep Voice AI had learned some new tricks. Not only can it accurately clone an individual voice faster than ever, but now it knows how to make a British man sound like an American woman.

How an ex-YouTube insider investigated its secret algorithm

The methodology Guillaume Chaslot used to detect videos YouTube was recommending during the election — and how the Guardian analysed the data

AI experts list the real dangers of artificial intelligence

A 100-page report written by artificial intelligence experts from industry and academia has a clear message: Every AI advance by the good guys is an advance for the bad guys, too.

Google Just Made It Harder to Spot Fake News

Google debuted changes to its image search on February 15th, which simplified the way individual results display. In response to complaints from Getty Images, Google removed some helpful if peripheral features associated with each image found within its results. While this appeased Getty’s copyright concerns, removing these features also meant some simple tools disappeared, which people could use to identify the origin and authenticity of images — tools which could help people identify “fake news” and misinformation.

To Give A.I. the Gift of Gab,Silicon Valley Needs to Offend You

“We need people to forgive us when we screw up,” he said. “Pushing forward is going to involve some screw-ups.”

Robotics, Vision and Motion Control Industries Set New Growth Records in 2017

ANN ARBOR, MI — The North American robotics, machine vision and motion control markets continue to set new records, according to the Association for Advancing Automation’s annual report on automation and robotics market statistics.

Neural Spelling Corrections and the Importance of Accuracy

“In the next few sections, I will briefly introduce seq2seq and then I will highlight two similar approaches and the pitfalls/shortcomings of each. In addition, I will give some speculative ideas as to how we might improve upon these first attempts.”

AI soon to be your BFF and mental health therapist?

Social media appeared to be the perfect modern fix for loneliness and thus a boon to mental health. But studies have uncovered the opposite effect. Today, people everywhere are glued to their smartphones rather than tuned to the people around them. But now AI is poised to reverse that trend, and perhaps become your BFF and therapist, too.

THE LIMITS OF EXPLAINABILITY

Academics, economists, and AI researchers often undervalue the role of intuition in science. Here’s why they’re wrong.

The Sublime and Scary Future of Cameras With A.I. Brains

Something strange, scary and sublime is happening to cameras, and it’s going to complicate everything you knew about pictures. Cameras are getting brains.

MIT and SenseTime announce effort to advance artificial intelligence research

Alliance will be part of new MIT Intelligence Quest.

A List of Chip/IP for Deep Learning (keep updating)

Machine Learning, especially Deep Learning technology is driving the evolution of artificial intelligence (AI). At the beginning, deep learning has primarily been a software play. Start from the year 2016, the need for more efficient hardware acceleration of AI/ML/DL was recognized in academia and industry. This year, we saw more and more players, including world’s top semiconductor companies as well as a number of startups, even tech giants Google, have jumped into the race. I believe that it could be very interesting to look at them together. So, I build this list of AI/ML/DL ICs and IPs on Github and keep updating. If you have any suggestion or new information, please let me know.

Weekly Digest Feb. 2018 #1

Weekly Digest Feb. 2018 #2

Weekly Digest Feb. 2018 #3

Weekly Digest Feb. 2018 #4

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Shan Tang

Since 2000, I worked as engineer, architect or manager in different types of IC projects. From mid-2016, I started working on hardware for Deep Learning.