Abstract: To improve the control performance of permanent magnet synchronous motor (PMSM) drive systems, this article proposes a model-free predictive current control method based on adaptive extended ...

Abstract: Existing time series variable-length motif mining algorithms based on suffix arrays suffer from long running times and are prone to premature termination of matching due to variations in ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...

Researchers at the University of Science and Technology of China have demonstrated that quantum entanglement between pairs of atomic defects in diamond can sharpen nanoscale sensors well beyond ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

A new study suggests that while AI models are increasingly capable of predicting and preventing system instability in modern ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

A recorded radio interview with Dutch astronomer, astrophysicist, and council communist theorist Anton Pannekoek in New York ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...