Bigger models, more parameters, higher benchmarks. There is often a fixation on scale in the discourse around AI, making it easy to assume that the bigger a Large Language Model (LLM) is, the better ...

While numerous researchers claim that the minimization of prediction error (PE) is a general force underlying most brain functions, others argue instead that PE minimization drives low-level, ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...

Objective SLE is a complex, heterogenous autoimmune disease. SLE researchers do not always collect the same data, making comparative studies difficult. We aimed to ascertain what variables SLE ...

Stimulation of the A13 brain region restores motor function in Parkinson's disease mouse models by alleviating bradykinesia and akinesia.

Explore emerging attack methods, evolving AI-driven threats, supply chain risks, and strategies to strengthen defenses and ...

A new role for extracellular matrix remodelling in Rheumatoid Arthritis (RA) pathology has been discovered. Dynamic collagen ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Automation used to be the best way to make software do the work and free up time for more important things. And while AI has since come on the scene, it hasn't replaced automation-it's made it better.

scODIN (Optimized Detection and Inference of Names in scRNA-seq data) overview. a, Automatic top-level cell type identification to identify major clusters (CD4 T cells, B cells, monocytes) for further ...