World’s most valuable AI start-up SenseTime raises US$620 million to spearhead China tech ambitions
China has made the development of artificial intelligence and other advanced technologies a core pillar of its efforts to reform its economy and secure leadership in what has been dubbed a fourth industrial revolution
FDA permits marketing of artificial intelligence algorithm for aiding providers in detecting wrist fractures
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ARM Details “Project Trillium” Machine Learning Processor Architecture
Today Arm details more of the architecture of what Arm now seems to more consistently call their “machine learning processor” or MLP from here on now. The MLP IP started off a blank sheet in terms of architecture implementation and the team consists of engineers pulled off from the CPU and GPU teams.
Move Slowly, and Don’t Break Things
As we make the move from digital to cognitive, the tech industry should be thinking a lot harder about putting safety first
WHILE WE REMAIN
The greatest threat that humanity faces from artificial intelligence is not killer robots, but rather, our lack of willingness to analyze, name, and live to the values we want society to have today.
AI Design Guidelines
A listing of the latest publications on best practices for UX and conversation design using AI
Machine Learning vs Machine Reasoning: Know the Difference
Today, Machine Learning systems can learn by themselves from preset data. The next step in AI evolution towards human-level intelligence is machine reasoning, or the ability to apply prior knowledge to new situations.
Facebook VP & Chief AI Scientist LeCun on Advancing AI
Facebook Vice President and Chief AI Scientist Yann LeCun speaks about the future of artificial intelligence on the third anniversary of the opening of the company’s Paris AI lab with Bloomberg’s Jeremy Kahn at Bloomberg’s Sooner Than You Think in Paris. (Source: Bloomberg)
IBM Researchers Explain Machine Learning Models By Exploring What Isn’t There
To help get a better understanding of how machine learning algorithms arrive at their decisions, the IBM team created a system for “contrastive explanations”–looking for information that was missing in order to better understand how a machine learning model arrived at its conclusion.
Microsoft is creating an oracle for catching biased AI algorithms
Microsoft is building a tool to automatically identify bias in a range of different AI algorithms. It is the boldest effort yet to automate the detection of unfairness that may creep into machine learning — and it could help businesses make use of AI without inadvertently discriminating against certain people.
Machine Un-Learning: Why Forgetting Might Be the Key to AI
For humans, forgetting is more than just a failure to remember; it’s an active process that helps the brain take in new information and make decisions more effectively. Now, data scientists are applying neuroscience principles to improve machine learning, convinced that human brains may hold the key to unlocking Turing complete artificial intelligence.
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.
