Researchers argue AI systems are converging toward unified models, raising questions about innovation paths and capital focus ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

The drive for artificial intelligence adoption echoes through boardrooms and development teams across virtually every industry. Fueled by the promise of transformative operational efficiencies and new ...

Please provide your email address to receive an email when new articles are posted on . During two prospective evaluations, forecasts had a mean absolute error of 3.1 ...

The human brain is one of the most complex structures in nature, but the brain's origins stretch back hundreds of millions of years. A new study using AI deep-learning models has revealed more about ...

Spire.AI Empollination and CrossKnowledge Capabl partner to deliver contextual learning aligned to evolving enterprise ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

There is general agreement among educators at all levels that AI in education and learning is still in its early stages. Post Covid-19, AI has been rapidly expanding. AI is powered by computer ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It is discussed in recruitment, in training planning, in tactical ...