Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Regular cleaning prevents the buildup of odors, soil, and detergent residue that can affect both performance and freshness.

We definitely have an attention problem, but it’s not just a function of the digital technology that pings and beeps and ...

Larian Studios will no longer be using any AI or machine learning tools for concept art of writing in the upcoming 'Divinity' ...

Company applies machine learning and automation to lower KYC screening expenses for financial institutionsCARLSBAD, CA, Jan.

AI agents can now see your face, hear your tone and respond in real time. Teaching machines the art of being human means going far beyond surface mimicry.

A groundbreaking artificial intelligence model has achieved unprecedented accuracy in tropical cyclone intensity prediction, marking a significant ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...