The research team developed a hybrid Long Short-Term Memory (QLSTM) model capable of effectively identifying complex patterns ...
Machine Learning Aids Atomic-Level Material Simulation, Enhancing Quantum Bit and Sensor Performance
In the rapid development of quantum computing and sensor technology, accurately simulating the behavior of atomic-level materials is particularly important. However, traditional simulation methods ...
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Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
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AI learns to follow predefined norms through a combination of logic and machine learning
Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Researchers warns: no mainstream platform truly respects privacy, but decentralized networks provide potential future ...
Unlike traditional robots that operate in isolation, cobots are built with safety and interaction in mind. They’re smart, ...
D: Watching Nvidia grow over the past two decades, from a gaming and visualization GPU supplier to the behemoth of the modern ...
America’s cancer research system, which has helped save millions of lives, is under threat in one of its most productive ...
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