Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

Trust in AI comes down to trust in data. Enterprises underestimated that connection and now companies are racing to close the ...

AI from Stanford Reads Disease Risks in Sleep: SleepFM Predicts Over 130 Ailments from One Night.

Years ago, before the rise of the gig economy, people developed their careers over time, often more slowly than desired. Folks who became DBAs, Data Modelers, or Data Architects had a rule-following ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...