By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Rapid development and iteration of AI algorithms have created an urgent need for high-energy-efficiency computing architectures. Computing-in-Memory (CIM) architectures have demonstrated distinctive ...
The MutCompute MCP server provides both synchronous and asynchronous APIs for protein mutation analysis. It predicts the effect of point mutations on protein stability by analyzing 3D protein ...
Abstract: Quantum-assisted models can surpass classical counterparts in specific domains by leveraging quantum superposition entanglement for more efficient data representation. This study ...
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