AI for Dummies: History and Techniques
(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 […]
(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. […]
(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 […]
(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 […]
(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 […]
(T) Niels Bohr believed “that anyone who thinks they can contemplate quantum mechanics without getting dizzy doesn’t understand it” while Albert Einstein couldn’t accept quantum mechanics because as he said, “I […]
(T) One of the San Francisco machine learning meet-ups invited Professor Michael Jordan from UC Berkeley for a talk at Yelp this week. Professor Jordan is an active researcher in machine learning […]
(E) Charismatic Aldebaran’s CEO Bruno Maisonniers recently launched his latest humanoid robot: Pepper. Pepper was designed for the Japanese market, and for Aldebaran’s owner Softbank. Pepper wants to be first and foremost […]
(E) Famous M.I.T. Professor Cynthia Breazeal, took a leave of absence from the Media Lab to work and launch her company and first commercial robot Jibo. She also announced a crowdfunding campaign […]
(T) At its 15th annual Research Faculty Summit, Microsoft demonstrated its latest deep learning image classifier named Project Adam. Adam was demonstrated on a smartphone to identify the exact breed […]
(T) By 2029, you might be able to have an emotional relationship with a “Digital Friend” on the Internet, on your desktop, or who knows with your wearable as did […]
(T) There are many objects which look like a bicycle but are not a bicycle. A person will make the difference between all those objects and tell accurately which one […]
(T) The goal of Machine Learning (ML) is to develop algorithms for making predictions from an existing data set. First, you start by collecting the data and analyzing it. Second, […]
(T) Over a week ago, I received an interesting article from an online magazine French District about “le vetement intelligent” or “smart clothing”… “Il fut un temps où le pull tenait chaud, le […]
(T) Artificial intelligence, neural networks, quantum computing, bioinformatics…those are exciting fields for computer scientists. But while quantum computing and bioinformatics are still new, artificial intelligence and neural networks have been […]