As we approach the AI Impact Summit 2026, global AI exosystems are undergoing a brutal yet necessary recalibration. Those calibrations are driven by t.

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

University of Illinois professor Klara Nahrstedt received $275,000 from the National Science Foundation to develop streaming technology for AI-generated neural video content. Her research focuses on ...

Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...

Detecting anomalies and threats in computer networks has been a center of cyber-security research for quite some time [1] and gaining popularity as new attack and defense techniques were made possible ...

Palo Alto Networks Inc. kicked off the annual Black Hat USA security conference in Las Vegas this week with today’s announcement of its Cortex Cloud Application Security Posture Management solution.