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.
A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...
Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
Data protection startup Gambit Security Ltd. launched today with $61 million in funding from Spark Capital, Kleiner Perkins ...
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Morning Overview on MSN
Thermodynamic computer mimics AI image generation using a fraction of the energy
Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...
Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...
Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results