The Royal Swedish Academy of Sciences has awarded the Nobel Prize in chemistry to David Baker, Demis Hassabis and John Jumper ...

The construction industry has accumulated decades’ worth of data that, with the help of AI-driven analysis, could boost ...

As part of a hardware-as-a-service model, AUAR has developed what it calls a robotic micro-factory that can help build ...

Drawer AI, a generative artificial intelligence-powered estimating system for electrical contractors, announced Tuesday that ...

While the AI duo was not among the top names ... Yaghi developed a type of customized porous material known as MOF (metal-organic framework), now used in commercial products that can, among ...

A team of researchers has used AI to identify a thermoelectric material with favorable values ... Then the researchers built machine building models using the Gradient Boosting Decision Tree method.

First, they fed tens of thousands of these materials into an existing model that can simulate what the X-ray diffraction patterns would look like. Then, they used those patterns to train their AI ...

Materials science enables cutting-edge technologies ... That hand-labeled dataset would then be used to train an AI model, which would identify the shared characteristics of those human-identified ...

A new AI tool able to predict a material’s optical properties based on simply its ... method known as ensemble embedding - whereby multiple models or algorithms are used to improve predictive ...

LONDON — Three scientists who discovered powerful techniques to predict and even design novel proteins — the building blocks ... Their work used advanced technologies, including artificial ...

FILE - Demis Hassabis, CEO of DeepMind Technologies and developer of AlphaGO, attendsthe UK Artificial Intelligence (AI) Safety Summit, at Bletchley Park, in Bletchley, England, Thursday ...