A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.
Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...
Researchers from Caltech created an artificial neural network capable of remembering information out of DNA, and demonstrated their technology by having it play a Jeopardy-like game.
Hosted on MSN
'Bridge doctor' combines imaging, neural network to efficiently evaluate concrete bridges' safety
Necati Catbas collaborated with his former civil engineering student Marwan Debees, Ph.D., who now works as a NASA Bridge Program manager, on research that details how infrared thermography, ...
The latest test of speed in training an artificial intelligence (AI) neural network is only partly about the fastest chips from Nvidia, AMD, and Intel. Increasingly, speed is also about the ...
The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Live Science on MSN
'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results