This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...

Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...

Demand for AI-capable engineers has surged 60% in the past year, but as hiring accelerates, companies are increasingly ...

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

Scripting languages like Python and JavaScript quickly gained popularity and pushed further toward human readability. They ...

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...