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'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 team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Vinay Sharma et Olga Fink, du Laboratoire IMOS, ont développé une IA capable de simuler des systèmes complexes tout en ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
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Simplifying quantum simulations—symmetry can cut computational effort by several orders of magnitude
Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...
AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.
Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...
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