A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

The life sciences industry is buzzing about AI's potential to transform drug discovery. But at this year's J.P. Morgan Healthcare Conference, the real conversation isn't about finding the perfect ...

Caris Life Sciences® , a leading, patient-centric, next-generation AI TechBio company and precision medicine pioneer, today announced that the company will present at the 44th Annual J.P. Morgan ...

Formula 1 teams live in a world where a single misjudged flick of carbon fiber can decide a championship. Aerodynamicists are ...

Eli Lilly boasts a wide range of products that serve a vast number of therapeutic areas. LLY focuses primarily on ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...

A major open-source photo repository developed at N.C. State University could be a significant step forward in helping unlock artificial intelligence’s potential for solving stubborn agricultural ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...