Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...

Team from Dalhousie University has been recording and analyzing the noises to see whether the animals have different vocal ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

The USSR and its Eastern European satellites failed to keep pace with the West in the third industrial revolution, hastening ...

This Wall Street’s AI Algorithms review breaks down Garrett Goggin’s top gold pick and his case for a major move as AI-driven ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Insilico Medicine (3696.HK), a clinical-stage drug discovery and development company driven by generative artificial ...

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

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

CPG is no longer just a business of labels on shelves. It is a system of learning, prediction and responsive action that ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...