Currently, there is limited statistical information on the performance of metric measurements obtained from different deep learning architectures (DL). In this study, the simulation results produced ...

Computer simulations help materials scientists and biochemists study the motion of macromolecules, advancing the development ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

The global climate is in an imbalance. Potential "tipping elements" include the Greenland ice sheet, coral reefs, and the ...

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

In recent years, our species has been eyeing a return trip to its watery roots, and now a U.K. startup called DEEP hopes to establish a permanent human residence on the ocean floor by 2027.

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...

While DeepSeek-R1 has significantly advanced AI’s capabilities in informal reasoning, formal mathematical reasoning has ...

Machine learning (ML) introduces powerful tools that can complement this foundation by enabling data-driven modeling, prediction, and automation. In recent years, ML applications in mechanics have led ...

Researchers have developed a new protocol for characterizing quantum gate errors, paving the way toward more reliable quantum simulations and fault-tolerant quantum computing.

The reason is that the production of motor vehicles powered wholly or partly by electricity has become much more important in Germany and could not be adequately represented with the statistical ...