AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI. RAG emerged in the last couple of years to become ...

Seattle biotech startup Rhizome Research has emerged from stealth with technology for creating small-molecule drug candidates ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a ...