2-Min AI Newsletter #4
Asif Razzaq
AI Research Editor | CEO @ Marktechpost | 1 Million Monthly Readers and 56k+ ML Subreddit
In this edition of our newsletter, we'll share some of the latest research news related to AI, machine learning, deep learning, and computer vision. We'll cover everything from recent restrictions from Microsoft for sales of facial recognition technology over fears it could be used to unfairly discriminate against people, to China's supercomputer achieving global first with the ‘brain-scale’ AI model. So whether you're interested in staying up-to-date on the latest AI developments or simply want to learn more about these fascinating technologies, we've got you covered!
???? ?? Some of the latest research highlights?
Microsoft has announced that it is halting sales of its facial recognition technology over fears that it could be used to unfairly discriminate against people. The company said that it plans to restrict access to other A.I. services because they pose the same risk. This is a huge step for Microsoft, and it could set a precedent for other companies who are developing similar technology.
Salesforce has built an open-source machine learning framework called OmniXAI, which stands for Omni eXplainable AI. This library takes an “omni-directional” approach to XAI, with extensive interpretable ML features that address many problems with explaining ML model decisions in reality. OmniXAI is a one-stop comprehensive library that makes explainable AI accessible to academics requiring explanations for each stage of the machine learning process. This is not limited to data exploration, feature engineering, model development, evaluation, decision making, etc.?
Research team says latest Sunway machine is on a par with the US Frontier, named as the world’s most powerful just weeks earlier. Its speed has made it possible to train an artificial intelligence program with 174 trillion parameters, rivalling the synapses in the human brain
领英推荐
In a new paper, researchers from NVIDIA, Caltech, Stanford, and Columbia introduce MINEDOJO – a new framework built on the popular Minecraft game that features a simulation suite with thousands of diverse open-ended tasks and an internet-scale knowledge base with Minecraft videos, tutorials, wiki pages, and forum discussions. Using MINEDOJO’s data, the team proposed a novel agent learning algorithm that leverages large pre-trained video-language models as a learned reward function. The agent is able to solve a variety of open-ended tasks specified in free-form language without any manually designed dense shaping reward
Priced at $10 per month or $100 a year, GitHub Copilot is capable of suggesting the next line of code as developers type in an integrated development environment (IDE) like Visual Studio Code, Neovim, and JetBrains IDEs. Copilot can suggest complete methods and complex algorithms alongside boilerplate code and assistance with unit testing.
???Startup featured for this issue
Meet Charm Therapeutics, which aims to solve these problems using 3-D deep learning and drug discovery technologies. The company was founded by Laksh Aithani, who previously founded Y Combinator-backed genei, and was a core contributor to the machine learning platform at Exscientia and most recently was Entrepreneur in Residence at Braavos, and David Baker, Ph.D., Head of the Institute for Protein Design, University of Washington.