(T) This is probably the state of the art (or close to it) of character physics-based animation for generating humanoids through reinforcement learning (RL) from a team of researchers at […]
Deep learning systems have achieved impressive results from language understanding, to protein sequencing, and autonomous vehicles. While it has long been known that artificial neural networks can approximate any function […]
(T) Most of the innovations in deep learning have come over the last few years from new natural language processing (NLP) techniques. Google’s Transformer with self-attention mechanisms has certainly changed […]
(T) One of the key goals of many data scientist teams is to develop models faster for new use cases and new applications. To that end, “transfer learning” which aims […]
(T) I had the pleasure to listen to several great talks about reinforcement learning from Professor Pieter Abbeel from UC Berkeley at the ODSC West Conference last Fall. I am […]
(T) As he did since 2017, Jeff Dean, the tech lead of the Google Brain Team and probably one of the most famous Silicon Valley engineers, shared some of the […]
(T) I recently listened to a lecture from Yann LeCun on “The Power and Limits of Deep Learning” organized by ACM. Following are a summary in plain English based on […]
(T) I was kindly invited to attend the first “ACM-IMS Interdisciplinary Summit on the Foundations of Data Science” yesterday at the Palace Hotel in San Francisco. The summit organized by […]
(T) Earlier this year, I tried to summarize in one slide, the top 20 scientists who contributed the most to the field of artificial intelligence over three generations. Obviously, this […]
(T) OpenAI released this week its second-generation language model GPT-2. That model provides reading comprehension, summarization, translation, and question answering. It is so good so OpenAI fears that it could […]
(T) As he did last year, Jeff Dean, the tech lead of the Google Brain Team and probably one of the most famous Silicon Valley engineers, shared some of the […]
(T) Google, Facebook, Apple, and Amazon have a key asset: a huge amount of data from their customers. And with data, you can do so much! But what if you […]
(T) Every four years at the International Congress of Mathematicians (ICM), the Nevanlinna Prize laureate is announced. This week, at the 2018 ICM in Rio de Janeiro, it was announced […]
(T) When you are a small start-up of fewer than 20 employees, you obviously have only one machine learning platform for all your analytics and services. That is not obviously […]
(T) Google had yesterday its second TensorFlow (TF) developer summit at the Computer Museum in Mountain View. This second summit was quite different from the first one. While the first […]
(T) I had the opportunity to attend last Saturday, the second Scaled Machine Learning conference @ Stanford University organized by Professor Reza Zadeh, and his venture Madroid. The speakers were […]
(T) I had the opportunity to attend this week IBM Index Developer conference at the Moscone Center. In particular, I attended on Tuesday the Open Community Meetings on TensorFlow (and […]
(T) As he did last year, Jeff Dean, the tech lead of the Google Brain Team and probably one of the most famous Silicon Valley engineers, shared some of the […]
(T) I had the opportunity to see, last month at the Scaled Machine Learning conference at Stanford University, an impressive demo from Professor Reza Zadeh from Stanford University about Matroid, […]
(T) I had the opportunity to attend last Saturday, the Scaled Machine Learning conference @ Stanford University organized by Professor Reza Zadeh, and his venture Madroid. The speakers were some […]
(T) This week Google had on Wednesday @ Googleplex a one-day dev summit on TensorFlow. There were not too many sessions but all session videos are available. Following are my […]
(T) Deep Blue, an IBM supercomputer programmed with brute force analysis, defeated Chess grandmaster Garry Kasparov in 1997 over six games. IBM’s Watson won Jeopardy! in 2011. This week the […]
(T) Last week in Montreal, was the twenty-ninth annual conference on Neural Information Processing Systems (NIPS). NIPS is probably one of the most well-attended machine learning and computational neuroscience conferences. […]
