Tag: energy-efficient computing

Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical gradients, achieving ...

University of Tennessee researchers Ahmedullah Aziz and Sai Swaminathan have received NSF CAREER Awards to advance superconducting logic for quantum ...

Researchers report a framework for all-optical diffractive neural networks that process temporal information by manipulating light fields in both space ...

Researchers have built a reconfigurable computing architecture in which molybdenum disulfide dual-gate transistors with ferroelectric gating act as both spiking ...

Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...

A multiphasic gel system with cascaded-heterointerface ion traps achieves multistate ionic neuromorphic processing at 0.61 picojoules per spike and has ...

In a groundbreaking advancement poised to revolutionize the future of computing technology, researchers at Rice University have uncovered that minute ...

In the rapidly evolving landscape of artificial intelligence and computational technologies, a revolutionary approach is emerging that could drastically redefine ...

In a groundbreaking stride toward the future of computing, researchers have unveiled a neuromorphic processor that incorporates on-chip learning capabilities, ...

Recent advancements in distributed acoustic sensing (DAS) technology have paved the way for unprecedented capabilities in real-time infrastructure monitoring. DAS ...