Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data across the chip to a separate processor for storage and number-crunching.

In this interview, we speak to Anas Al Zabiby, who discusses the growing role of multi-omics and AI in biomedical research.

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

With the rapid spread of digital content, doctored videos pose growing risks across media, security, and legal domains. A new ...

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

Despite recent advances in musical signal processing, little attention has been given to the demands of nontechnical stakeholders. The reduction of ...

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

Academy Sports and Outdoors, Inc. ( ASO) Analyst/Investor Day April 7, 2026 9:00 AM EDT ...

The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...