Waymo (ChauffeurNet) versus Telsa (HydraNet)
(T) Following are some easy to understand summaries of how Waymo and Telsa are approaching the design, architectures, and modeling of their self-driving cars. Note how much they differ. Waymo […]
(T) Following are some easy to understand summaries of how Waymo and Telsa are approaching the design, architectures, and modeling of their self-driving cars. Note how much they differ. Waymo […]
(T) This week, I had the opportunity to attend for the fourth time, the fifth Scaled Machine Learning conference that was held for the second time at the Computer History Museum in […]
(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) 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 […]