How to Learn Faster? Multi-Task and Meta-Learning to the Rescue
(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 […]
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 […]
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 second 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 Scaled Machine Learning conference @ Stanford University organized by Professor Reza Zadeh, and his venture Madroid. The speakers were some […]
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 […]
