How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Rewriting the automotive rule book is no easy task. There’s a reason things have been done the same way for so long – if it ...

The convergence of AI and smart contracts isn't a future vision—it's an incremental process already underway. It propels blockchain automation into the next phase: one where contracts don't only ...

From advanced nickel alloys to subsea monitoring systems, this article examines how materials science, surface engineering, ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce MacFadden , UF ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Explore how universities must adapt to AI-driven changes in education or risk becoming obsolete in today's learning landscape.

A bioinspired robotic eye could inspire the next generation of autonomous vehicles, drones and industrial robots.

Researchers at NYU have developed a way to use light to precisely direct how microscopic particles assemble into crystals. The findings, published today (February 24) in the Cell Press journal Chem, ...

In the automotive manufacturing sector, efficiency and precision are inseparable. Precision CNC Milling technology is key to achieving this balance, capable of stably processing various complex ...