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

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...

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

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

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 ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

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