Latest from MIT : Computational model captures the elusive transition states of chemical reactions

During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no return from which the reaction must proceed. This state is so fleeting that it’s nearly impossible to observe it experimentally. The structures of these transition states can be calculated using techniques based on quantum…

Latest from MIT : AI meets climate: MIT Energy and Climate Hack 2023

The MIT Energy and Climate Hack brought together participants from myriad fields and disciplines to develop rapid, innovative solutions to one of the most complex challenges facing society today: the global energy and climate crisis. Hundreds of students from MIT and colleges across the globe convened on MIT’s campus and virtually for this year’s event, which…

Latest from MIT Tech Review – Now we know what OpenAI’s superalignment team has been up to

OpenAI has announced the first results from its superalignment team, the firm’s in-house initiative dedicated to preventing a superintelligence—a hypothetical future computer that can outsmart humans—from going rogue. Unlike many of the company’s announcements, this heralds no big breakthrough. In a low-key research paper, the team describes a technique that lets a less powerful large…

Latest from MIT Tech Review – Google DeepMind used a large language model to solve an unsolvable math problem

Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper published in Nature today, the researchers say it is the first time a large language model has been used to discover a solution to a long-standing scientific puzzle—producing verifiable and valuable new information that did…

Latest from MIT Tech Review – This new system can teach a robot a simple household task within 20 minutes

A new system that teaches robots a domestic task in around 20 minutes could help the field of robotics overcome one of its biggest challenges: a lack of training data.  The open-source system, called Dobb-E, was trained using data collected from real homes. It can help to teach a robot how to open an air…

Latest from MIT : Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows

MIT-Pillar AI Collective has announced three inaugural fellows for the fall 2023 semester. With support from the program, the graduate students, who are in their final year of a master’s or PhD program, will conduct research in the areas of artificial intelligence, machine learning, and data science with the aim of commercializing their innovations. Launched…

Latest from MIT : Deep neural networks show promise as models of human hearing

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces. A new study from MIT has found that modern computational models derived from machine learning are moving closer to this goal. In the largest study yet of deep neural networks…

Latest from MIT : Closing the design-to-manufacturing gap for optical devices

Photolithography involves manipulating light to precisely etch features onto a surface, and is commonly used to fabricate computer chips and optical devices like lenses. But tiny deviations during the manufacturing process often cause these devices to fall short of their designers’ intentions. To help close this design-to-manufacturing gap, researchers from MIT and the Chinese University…

Latest from MIT : A computer scientist pushes the boundaries of geometry

More than 2,000 years ago, the Greek mathematician Euclid, known to many as the father of geometry, changed the way we think about shapes. Building off those ancient foundations and millennia of mathematical progress since, Justin Solomon is using modern geometric techniques to solve thorny problems that often seem to have nothing to do with…

O’Reilly Media – Copyright, AI, and Provenance

Generative AI stretches our current copyright law in unforeseen and uncomfortable ways. In the US, the Copyright Office has issued guidance stating that the output of image-generating AI isn’t copyrightable, unless human creativity has gone into the prompts that generated the output. This ruling in itself raises many questions: how much creativity is needed, and…