While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid.

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Abstract: In the production process, spare parts are assembled to become products. To improve product quality and reduce cost, it is required to determine whether to detect the quality of spare parts, ...

Spread the loveAs the business landscape evolves, the integration of artificial intelligence (AI) into corporate strategies has become increasingly prevalent. On March 15, 2026, reports from New York ...

Complementary biochemical and structural findings reveal molecular principles underlying substrate selectivity by a model hyaluronan synthase.

A study has traced thousands of conserved regulatory elements back 300 million years, revealing deep principles of plant genome evolution—a discovery that could pave the way for more precise ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Manas Ranjan Panda said I strongly believe that industry needs to inform academic research, and research must make sense of ...

Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes.