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In the News
Big bets on A.I. open a new frontier for chip start-ups
"Today, at least 45 start-ups are working on chips that can power tasks like speech and self-driving cars, and at least five of them have raised more than $100 million from investors. Venture capitalists invested more than $1.5 billion in chip start-ups last year, nearly doubling the investments made two years ago, according to the research firm CB Insights."
Slack hopes its AI will keep you from hating Slack
The fastest-growing business app is relying on machine-learning tricks to fend off a deluge of messages—as well as competition from Facebook and Microsoft.
Competing with the giants in race to build self-driving cars
Profile of Aurora, a company competing in the self-driving market
Also in the news...
- A major milestone in machine learning has been reached this week—Alibaba and Microsoft have each developed algorithms that read 500 Wikipedia articles and scored higher on a Stanford University comprehension test than their human counterparts—the final score was 82.650 - 82.304. More
- Waymo tests self-driving car fleet in Atlanta and orders 1000s of Chrysler Pacificas for 2018 roll-out.
- Andrew Ng launches $175M AI fund. More
Workplace
How Quora’s head of Data Science conducts candidate interviews
In a nut-shell:
- Structure the interview such that expectations are as clear as possible.
- Deliver a clear, honest explanation of the role
- Conduct a challenging interview to hook a great candidate
- Avoid candidates whose interests don’t align well with the role
- Seek out candidates with an appetite for the right type of work
Learning
Google Brain Team — Looking Back on 2017 (Part 2 of 2)
Post sharing some of the work by the Google Machine Learning Team on Healthcare, Robotics, Basic Science, Creativity & People
How Booking.com increases the power of online experiments with CUPED
CUPED is a technique developed by the Experiment Platform team at Microsoft (Deng, Xu, Kohavi, & Walker, 2013) that tries to remove variance in a metric that can be accounted for by pre-experiment information.
Deep Learning sharpens views of cells and genes
Neural networks are making biological images easier to process
Software tools & code
How to solve 90% of NLP problems: a step-by-step guide
Turning design mockups into code with Deep Learning
"Currently, the largest barrier to automating front-end development is computing power. However, we can use current deep learning algorithms, along with synthesized training data, to start exploring artificial front-end automation right now."
How to create magical products using Sequence-to-Sequence models
A tutorial on how to summarize text and generate features from Github Issues using deep learning with Keras and TensorFlow.
About
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