Researchers have developed an AI image generator that produces images in just four steps, rather than dozens.

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

If there’s a legal reckoning to come over the use of intellectual property in training AI, there are also several methods of ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

The new study described this "almost unprecedented rate of increase" in the length of an average day as a quantifiable ...

Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...

Thornburg International Growth Fund reports 4Q25 results and outlines a strategy focused on AI diffusion, financials, and aerospace. Read the full analysis for more details.

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...