How Reinforcement Learning Enables a new Generation of Robots
(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 […]
Google Brain Research in 2019
(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 […]
The Power and Limits of Deep Learning
(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 […]
ACM-IMS Interdisciplinary Summit on the Foundations of Data Science
(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 […]
Scaled Machine Learning Conference @ the Computer History Museum
(T) This week, I had the opportunity to attend for the third time, the fourth Scaled Machine Learning conference that was not held at Stanford University but the Computer History Museum […]
Todays’ Turing Awards to the Three Musketeers of Deep Learning
(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 […]
OpenAI’s GPT-2 Language Model
(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 […]
Google Brain Research in 2018
(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 […]
The Beauty of Generative Models
(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 […]
Prof. Daskalakis Winning the 2018 Nevanlinna Prize
(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 […]
Machine Learning Platforms and Data Pipelines at Google, Facebook and Uber
(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 […]
Google TensorFlow Developer Summit
(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 […]
Stanford Scaled Machine Learning Conference
(T) I had the opportunity to attend last Saturday, the third Scaled Machine Learning conference @ Stanford University organized by Professor Reza Zadeh, and his venture Madroid. The speakers were […]
The Expansion of the TensorFlow Platform
(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 […]
Google Brain Research in 2017
(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 […]
An Easy Way to Find What you Want to See in a Video
(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, […]
Scaled Machine Learning Conference @ Stanford
(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 […]
TensorFlow Dev Summit
(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 […]
Playing the Go Game with Deep Neural Networks and Tree Search
(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 […]
NIPS 2015 Conference in Montreal
(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. […]
Baidu Research in Artificial Intelligence
(T) I attended last week three presentations from the Baidu AI Lab in Sunnyvale, part of the SF Big Analytics meet-up in San Francisco. Professor Andrew Ng’s Stanford University Professor […]
Google Research in Deep Learning
(T) I attended last month a presentation from Ilya Susdskever from Google Research about Deep Leaning, part of the SF Big Analytics meet-up in San Francisco. Ilya, along with Alex […]
Facebook Research in DeepFace
(T) Facebook has definitely pioneered many new techniques for face recognition. This month, the social networking company is launching a new app “Moments” to get from your family and friends […]
Playing Games with Reinforcement Learning
(T) The DeepMind Technologies team in London has just published a paper in Nature: “human-level control through deep reinforcement learning”. The Deep Neural Network called Deep Q-Network (DQN) combines a Reinforcement Learning algorithm with Experience Replay […]
Recommending Music on Spotify with Deep Learning
(T) Do you enjoy listening to Bach’s Brandenburg Concertos? If you do, you are likely to appreciate Vivaldi’s violin concertos as well. Musicians learn from each other. And, musicians influence […]
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