Most laser sources produce Gaussian beams that diverge as they propagate. This natural spreading limits their effectiveness in applications that require light to remain concentrated over long ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Plastic, once ingenious for its durability and versatility, has become a global environmental issue that is affecting every ...

During femtosecond laser fabrication, photons are mainly absorbed by electrons, and the subsequent energy transfer from electrons to ions is of picosecond order. Hence, lattice motion is negligible ...

What if chronic diseases, which are difficult to treat with medicine alone, could be managed with electricity? As ...

The National Academies will organize a symposium to discuss the applications of artificial intelligence (AI) and machine learning (ML) in the fields of radiation therapy, diagnostics, and occupational ...

Abstract: Cyclic simplex codes are usually deemed as impractical because of their extremely low rate and large codeword length for practical values of the code dimension. To address these limitations, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Nvidia leads in AI with strong growth in data center revenue, expanding into autonomous tech. Alphabet integrates AI across its services and invests heavily in AI chips and infrastructure. Microsoft's ...

Abstract: To address the computational demands in different regions of the multiscale problem, a hybrid method is developed based on the switched Huygens subgridding and the precise-integration ...