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 […]
(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) The 2019 Conference on Neural Information Processing Systems (NeurIPS) was held this year from December 8th through December 14th, 2019 at the Vancouver Convention Center. Over 13,000 attendees! And […]
(T) I had the opportunity to attend at the ODSC West conference, a talk from Waymo’s engineering manager’s Chen Wu. Following is a summary of what I learned about 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) So far the best-known technique to mitigate adversarial examples is adversarial training. Adversarial examples are images that have been modified to fool a generative adversarial network (GAN). And in […]
(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 […]
(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) Adversarial examples introduce small changes to an image that leads the model to misclassify the input image. Instead of recognizing a cat, the model will recognize a dog even […]
(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) 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 third 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) The Silicon Valley IEEE AI group had an interesting lecture last month, that I attended, from Stanford’s Professor Stefano Ermon. Many of the recent successes of machine learning have […]
(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 […]
(E) An excellent and fun article to read, if you want to understand the recent developments and most popular applications of AI, Roger Parloff’s in Forbes, ”Why deep learning is […]
(T) There are so many AI and ML product announcements from the largest tech companies, that it is hard to keep up – competitive technology advantages are going to erode quickly: […]
(T) If you did not have the chance to attend Google IO this week at the Shoreline Amphitheater in Mountain View, most of the videos of the talks are now […]
(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. […]