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MIT researchers use neural networks to speed materials design; 5 weeks vs 50 years for flow battery proof-of-concept

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When searching through theoretical lists of possible new materials for particular applications, such as batteries or other energy-related devices, there are often millions of potential materials that could be considered, and multiple criteria that need to be met and optimized at once. These can exist in a vast number of different forms.

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Testing Products for Consumer Reports

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At SMSC she was responsible for integrated circuit design, validation, and product engineering of silicon chips used in PCs. For example, we’ve seen video doorbells and wireless home security cameras sending email addresses, IP addresses, lists of commands, network names, and even Wi-Fi passwords as unencrypted data.

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Nissan says it will have first commercially-viable autonomous drive vehicles by 2020; across the range in 2 vehicle generations

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Nissan said that its engineers have been carrying out intensive research on the technology for years, alongside teams from universities including MIT, Stanford, Oxford, Carnegie Mellon and the University of Tokyo. The full list of institutions currently involved with Nissan’s AD effort is: AIST?National Nissan Motor Co.,

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Virtual Reality Helps Students Improve Their Math Literacy

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Making sense of math Ganguly and a team of engineers developed the platform’s software, which includes modules on physics, biology, and chemistry as well as math. Displayed on the student’s VR headset is a list of modules. Ganguly wanted to use her engineering know-how to develop a technology that could teach youngsters those skills.

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What Robotics Experts Think of Tesla’s Optimus Robot

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Brandon Rohrer — Machine Learning Engineer, LinkedIn Siddhartha Srinivasa — Director of Robotics and AI, Amazon Mikell Taylor — Principal Technical Program Manager, Amazon Robotics Cynthia Yeung — Founding Board Member, Women in Robotics. Click the link under each section to jump back up to the list of experts. Georgia Chalvatzaki.

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2021's Top Stories About AI

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Deep Learning's Diminishing Returns : MIT's Neil Thompson and several of his collaborators captured the top spot with a thoughtful feature article about the computational and energy costs of training deep learning systems. 7 Revealing Ways AIs Fail : Everyone loves a list, right? So there you have it.

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Just Calm Down About GPT-4 Already

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Best known as a robotics researcher, academic, and entrepreneur, Brooks is also an authority on AI: he directed the Computer Science and Artificial Intelligence Laboratory at MIT until 2007, and held faculty positions at Carnegie Mellon and Stanford before that. And no doubt, that’s because it’s 4000 parameters or tokens. Or 60,000 tokens.

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