Cryptovest |
How Machine Learning can help Cryptocurrency Traders Maximize their Gains
Cryptovest There’s a lack of reliable, evidence-based resources available to crypto traders, and as a result many people end up relying solely on their gut instinct or anecdotal evidence when making investments. That’s a bad move — and a recipe for big losses … |
Forbes12 Amazing Deep Learning Breakthroughs of 2017ForbesThe quest to give machines a mind of their own occupied the brightest AI specialists in 2017. Machine learning (and especially the newly hip branch, deep learning) practically delivered all of t…
Newsweek |
China Building Artificial Intelligence–Powered Nuclear Submarine That Could Have ‘Its Own Thoughts,’ Report Says
Newsweek A senior scientist confirmed that China is building artificial intelligence–powered nuclear submarines that can think for themselves, according to a report. According to a researcher involved with the program, who requested anonymity due to the … China’s plan to use artificial intelligence to boost the thinking skills of … China designing nuclear submarine with artificial intelligence that … China’s Nuclear Submarines To Get Artificial Intelligence Systems … |
OpenGov AsiaNew quantum linear system algorithm could speed up machine learningOpenGov AsiaThe first quantum linear system algorithm was proposed in 2009 by a different group of researchers and it kick-started research into quantum forms of machine lea…
Financial TimesWhy we are in danger of overestimating AIFinancial TimesArtificial intelligence is one of the important technological advances of the early 21st century. Already it has meant that machines can read medical images as well as a radiologist…
Deep Reinforcement Learning (DeepRL) has achieved remarkable success in a range of tasks, from continuous control problems in robotics to playing games like Go and Atari. The improvements seen in these domains have so far been limited to individual tas…
WIREDTo Advance Artificial Intelligence, Reverse-Engineer the Brain – WiredWIREDOpinion: An MIT brain science professor argues that progress in deep learning research will come from the convergence of engineering and neuroscience.and more »
MIT Technology Review |
More efficient machine learning could upend the AI paradigm
MIT Technology Review In January, Google launched a new service called Cloud AutoML, which can automate some tricky aspects of designing machine–learning software. While working on this project, the company’s researchers sometimes needed to run as many as 800 graphics chips … |
submitted by /u/DiscoverAI [link] [comments]
