Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
COMPUTING chiefs say more women need to say ‘aye to AI’ so tech works for us all in the future. Stats in Scotland show only around a fifth of uni applicants looking to study the subject are ...
Slowed progress in AI is narrowing the gap between big tech's proprietary models and their cheaper, open source rivals.
University of Hawaiʻi Sea Grant teams up with North Shore Community Land Trust to find solutions for the island's ...
MoneyWeek on MSN
How will AI impact the pharma industry?
The potential of AI to analyse vast quantities of data in a relatively short time frame makes its application to the ...
Scientists are war-gaming humanity's worst nightmare: an asteroid with Earth's name on it. In April 2024, nearly 100 planetary defence experts gathered at Johns Hopkins Applied Physics Laboratory to ...
Interesting Engineering on MSN
'Most promising' nuclear fusion reactor design simulated by US supercomputer'Most promising' nuclear fusion reactor design simulated by US supercomputer'Most promising' nuclear ...
US-based Type One Energy used the immense power of ORNL's Summit supercomputer to test a new stellarator design.
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