Scientists in Korea have developed a new methodology to employ machine-learning models in "smart" solar cell manufacturing. They utilized data collected from equipment that closely resembles actual ...

Developers can now build, test, and deploy applications powered by OpenAI’s gpt-oss models within the AI development platform ...

We're surrounded by machines that talk to us, and we're talking back more than ever. Synthetic voices have moved beyond novelty into everyday tools: podcast narration, virtual coaching apps, and car ...

AI inference cost is falling fast. Discover how much it costs to match GPT-level benchmarks in coding, science, chat, and ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

As generative artificial intelligence and machine learning continue their rapid rise in popularity and uses in business operations, manufacturers ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...

We use the Navier-Stokes equations every day, for applications from building rockets to designing drugs. But sometimes they ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.