Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
Solar panels and wind turbines increasingly dot the landscape, but the future of clean energy may well depend on how smoothly ...
How Carleton is using simulation and visualization to improve training, design and human performance
From healthcare to aviation to architecture, simulation and visualization tools have become an essential part of training, analysis and decision-making in sectors that rely on precision. At Carleton ...
In one day, 433 people won the Philippine lottery jackpot. What were the chances? On October 1, 2022, something strange ...
From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...
Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...
Take the pressure off of problem-solving with engaging thinking games that encourage students to work together to find ...
What if your reality was nothing more than a complex computer simulation? And if you were just a program on someone else’s hard drive, how would you know? The Trump administration might’ve gone one ...
The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
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Tapping into new 'probabilistic computing' paradigm can make AI chips use much less power, scientists say
A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer more quickly.
As autonomous AI matures, the challenge is no longer collecting data but proving systems can handle rare, high-risk scenarios.
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