“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

The quantum computing industry is at a critical inflection point, shifting from "scientific fantasy" to practical industrial ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...

The new high-capacity, high-performance storage is purpose-built for the demands of modern AI-enabled surveillance systems - ...

Quantum computing has long held promise as the next era in information processing, with applications in drug discovery, ...

In 2022, AMD completed Class B qualification for the company’s first space-grade Versal™ adaptive SoCs. The XQR Versal™ AI ...

Vincenzo Savona, head of the Laboratory of Theoretical Physics of Nanosystems. 2025 EPFL/Murielle Gerber- CC-BY-SA 4.0 ...

As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

The briefing book of the 2026 update of the European Strategy for Particle Physics was published in October. Paris Sphicas ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

Quantinuum launches Helios, a 98-qubit system that breaks fidelity records and brings real-time, enterprise-ready quantum ...