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

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

Are You Effectively Managing Non-Human Identities in AI-Driven Cloud Security? Where technology underpins every business function, the security of machine identities—known as Non-Human Identities ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Researchers have grown pea-sized brains in the lab that are offering an unprecedented look at how neurons behave differently ...

Introduction In the field of hardware development, protracted prototype iteration cycles and high error correction costs are ...

How Are Non-Human Identities Changing the Cybersecurity Landscape? What if the biggest vulnerability in your cybersecurity strategy was not a human error but a machine identity left unchecked? Secrets ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Researchers have grown pea-sized brains in the lab that are offering an unprecedented look at how neurons behave differently in schizophrenia and ...

Explore the legal and technical hurdles in filing Updated Returns under Section 139(8A), including Excel utility dependencies and procedural ...