What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Imagine arriving at a busy location with people moving around and a multitude of visual and other sensory cues vying for your attention. How does the brain integrate such floods of sensory information ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

Examining brain plasticity and its implications for development, aging, and brain injury recovery.

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...

AngelAiTM is redefining personal growth and digital empowerment with the launch of the first Motivational AI Twin, ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

A team led by Northwestern University and Shirley Ryan AbilityLab scientists have developed a new technology that can eavesdrop on the hidden electrical dialogues unfolding inside miniature, lab-grown ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

A neuroimaging study published in Psychiatry Research: Neuroimaging has identified hyperactivity in the superior occipital ...