How the AI cloud could produce the richest companies ever
Amazon, Google, and Microsoft all want to dominate the business of providing artificial-intelligence services through cloud computing. The winner may have the OS of the future.
What worries me about AI
“If you quote this article, please have the honesty to present these ideas as what they are: personal, speculative opinions, to be judged on their own merits.”
Nvidia’s DGX-2 System Packs An AI Performance Punch
Waymo, a Google Spinoff, Ramps Up Its Driverless-Car Effort
The company says it will buy up to 20,000 electric cars from Jaguar Land Rover as it strives to put a ride service into operation within two years.
Satya Nadella email to employees: Embracing our future: Intelligent Cloud and Intelligent Edge
HOW CODERS ARE FIGHTING BIAS IN FACIAL RECOGNITION SOFTWARE
Gfycat’s facial recognition software can now recognize individual members of K-pop band Twice, but in early tests couldn’t distinguish different Asian faces.
Roam Robotics Announces $2500 Soft Exoskeleton For Skiers and Snowboarders
The lower body support system uses pneumatic muscles to help you carve harder for longer
Nvidia and ARM take deep learning to the internet of things
Nvidia and Arm announced that they are partnering to bring deep learning inferencing to the billions of mobile, consumer electronics, and internet of things (IoT) devices anticipated in the future.
Need to make a molecule? Ask this AI for instructions
Chemists have a new lab assistant: artificial intelligence. Researchers have developed a ‘deep learning’ computer program that produces blueprints for the sequences of reactions needed to create small organic molecules, such as drug compounds. The pathways that the tool suggests look just as good on paper as those devised by human chemists.
How CEOs Can Decode The Alphabet Soup Of Machine Learning
What follows is a “kitchen English” cheat sheet of definitions for CEOs with anecdotes about how they are relevant to business. Please save them in the notes app of your smartphone for your next machine learning discussion.
NLP — Building a Question Answering model
“I recently completed a course on NLP through Deep Learning (CS224N) at Stanford and loved the experience. Learnt a whole bunch of new things. For my final project I worked on a question answering model built on Stanford Question Answering Dataset (SQuAD). In this blog, I want to cover the main building blocks of a question answering model.”
An introduction to Reinforcement Learning
Reinforcement learning is an important type of Machine Learning where an agent learn how to behave in a environment by performing actions and seeing the results.
Machine Behavior Needs to Be an Academic Discipline
Why should studying AI behavior be restricted to those who make AI?
World Models
Can agents learn inside of their own dreams?
Deep Learning Book Series · Introduction
This content is part of a series following the chapter 2 on linear algebra from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. (2016). It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of these concepts.
AutoML Vision in action: from ramen to branded goods
AutoML Vision lets users customize ML models with their own images, without having expertise with designing ML models. To get started, all you need to do is upload image files for training and make sure they’re properly labeled. Once you’ve finished training your customized model, you can easily deploy it on a scalable serving platform, in order to automatically scale your resources to meet demand. The whole process is designed for non data scientists and doesn’t require ML expertise.
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.
