The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Explore some favorite visual stories of designers, developers and art directors from The Washington Post’s Design, Graphics ...

AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...

As embodied intelligence emerges as the next frontier, a new company has joined the race. ACE Robotics, led by Wang Xiaogang, ...

Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...

"A different future is possible if newsrooms treat data projects as conversations rather than finished products." ...

Contributed by Vikhyat Chaudhry, co-founder, CTO, and COO at Buzz Solutions From Imagery to Intelligence For the last several ...

Abstract: The availability of spectrum for wireless communication has become a precious and costly resource in recent times due to the congestion of the spectrum with multiple applications. Hence, ...

How BioRender and CEO Shiz Aoki are turning a standard visual language for biology into must-have AI infrastructure, from ...

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...