Today I share two short videos about the recently launched institute The Vector Institute. This will be an Artificial Intelligence (AI) focused institution based in Toronto, Canada, and it will be a promising new focus point for the AI and deep learning communities around the world. As it is mentioned in the videos one of … Continue reading Two videos about the new Vector Institute
The last FPGA 2017 ACM International Symposium on Field-Programmable Gate Arrays (FPGA) event that took place in Monterey, California US featured an important presentation about a chip development that may well be the future hardware state-of-the-art for deep learning implementations. The talk was also supported by a research paper with the name Can FPGAs Beat GPUs in … Continue reading FPGA chips will be the hardware future for Deep Learning and AI ?
OpenAI recently posted one of those Blog posts that you read in a life time. Sure, not to overstate much of the significance of the post, I thought it to be a post that you happen to encounter in online surfing just once in a while, a big while indeed. To compound my assertion is … Continue reading Evolution Strategies: a new alternative to Reinforcement Learning
The video I shared today is from BootstrapLab AI 2016 conference. The version of this year of BootstrapLab AI 2017 Conference will take place next May in San Francisco. This was a cool small panel of speakers talking about their take on the possible future of the field of Artificial Intelligence. The main points revolve … Continue reading BootstrapLab AI 2016: what is the future of AI?
New week of posts. I am coming back today to the definition series from Techtarget glossary website WhatIs. Neurosynaptic chips are the hardware counterpart of the software based cognitive computing. Emulating the brain processes as they are on the biological level have proved to be very hard for artificial mechanisms. Neurosynaptic chips promise to emulate … Continue reading Definition Series: neurosynaptic chip
This Blog has posted some of the content in the website/community named Re.Work in the past. It is a London-based thriving and exciting community of people engaged and keen on combining technology, science and entrepreneurship to shape the future landscape of business. Today I come back to this website to share the content of an interesting interview kindly … Continue reading Singapore, Deep Learning and Finance with Re.Work
I have been a keen follower of the Blog The Morning Paper for a while now. Over more than one year, maybe. Adrain Colyer is an experienced Computer Scientist and an expert on ventures (companies and capital, I suppose) of high technology background, specifically about cloud computing and data science. Therefore he really knows what … Continue reading Collection of morning papers on Convolutional Neural Networks
The excellent website CoinDesk recently published a story about an italian computer scientist worth to read by anyone interested in Blockchains and Distributed Ledgers. His name is Silvio Micali, an MIT professor and a Turning Award winner. The article is interesting for the new protocol that is proposed by Dr. Micali to solve the current … Continue reading Algorand: a new consensus agreement for distributed ledgers
I usually receive a good series of weekly newsletters about Artificial Intelligence (AI). Some three or so. The one I have shared the most here in this blog has been the O'Reilly's AI weekly newsletter. But recently I diversified and I found some other pretty good collection of newsletters, full of technical resources, articles and … Continue reading Creative design and communication: a new machine learning emerges
We are past middle of march 2017. The Arxiv collection of research papers keeps its tremendous pace of releases of open free to read research papers. It is increasing in quality and openness, a good development for the folks, like me, that like to read quality scientific papers. I am form a country that likes … Continue reading Data efficiency in deep reinforcement learning: Neural Episodic Control