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 ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Like many engineers, Sarang Gupta spent his childhood tinkering with everyday items around the house. From a young age he ...

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

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

Artificial intelligence terminology continues to expand as researchers and companies develop new systems, prompting the need ...

AI doesn’t really “think.” Rather, it remembers how we thought together. And we’re about to stop giving it anything worth ...

How Xoople and L3Harris Are Pioneering Earth‑AI Satellites for a Smarter Planet The convergence of artificial intelligence and satellite engineering ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Nothing rivals the human brain's complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion ...

When AI Voices Hijack the Spotlight The music industry is witnessing a new frontier of innovation and controversy as artificial ...