An Australian research team has developed a five-step, rule-based method that detects and classifies underperformance in PV systems using only AC-side inverter data. Validated across more than 1,000 ...

An informational overview examining category context, publicly available product disclosures, and what consumers often ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...