Google is adding new automated machine learning tools and bringing its AI software to call centers
Google’s AutoML Vision is going into public beta while new natural language and translation tools are now available
Google’s Edge TPU
Google’s purpose-built ASIC designed to run inference at the edge.
What do machine learning practitioners actually do?
This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.
Why Germany did not defeat Brazil in the final, or Data Science lessons from the World Cup
We review World Cup predictions (all failed), examine what makes such events difficult to predict, and suggest 3 golden rules to determine when you can trust the predictions.
Software beats animal tests at predicting toxicity of chemicals
Machine learning on mountain of safety data improves automated assessments.
Building your own Duplex AI agent using Rasa and Twilio
We’re in a period of human-computer interaction history where the widespread availability of machine learning allows us to build unprecedented new interactions. You don’t have to be an ML researcher to get in on the action, either — software like the Rasa Stack brings state-of-the-art research into a usable product. Pair that with an awesome communication stack from Twilio, and your software can interact with the world in entirely new ways.
Artificial intelligence has learned to probe the minds of other computers
Now, computer scientists have created an artificial intelligence (AI) that can probe the “minds” of other computers and predict their actions, the first step to fluid collaboration among machines — and between machines and people.
Building your own Duplex AI agent using Rasa and Twilio
We’re in a period of human-computer interaction history where the widespread availability of machine learning allows us to build unprecedented new interactions. You don’t have to be an ML researcher to get in on the action, either — software like the Rasa Stack brings state-of-the-art research into a usable product. Pair that with an awesome communication stack from Twilio, and your software can interact with the world in entirely new ways.
‘The discourse is unhinged’: how the media gets AI alarmingly wrong
Social media has allowed self-proclaimed ‘AI influencers’ who do nothing more than paraphrase Elon Musk to cash in on this hype with low-quality pieces. The result is dangerous
Algorithm and Blues: The Tyranny of the Coming Smart-Tech Utopia
Why optimizing the world for efficiency, productivity and happiness is bad for humanity
A List of AI Chip/IP
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.
