A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

At the University of Alberta, a century-old academic landmark has been transformed into the University Commons.

The Cisco 350-401 ENCOR exam is one of the most important certifications for networking professionals aiming to advance their ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

TOMRA Recycling launches the new FINDER™, a flexible metals sorting platform with built-in AI features for meeting infeed ...

A new review finds that AI is no longer being treated simply as a technical add-on for solar and wind prediction, but ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...