IonQ Partners Driving European Quantum Adoption. IonQ is really making waves in Europe, and a big part of that is thanks to ...
IBM (IBM) and Cisco (CSCO) are collaborating to design a connected network of large-scale, fault-tolerant quantum computers, targeted by early 2030s. The companies said that within five years, the two ...
EU officials are reportedly exploring ways to force member states to strip Huawei and ZTE technologies from their networks. Bloomberg reported that European Commission VP Henna Virkkunen wants to ...
Researchers at the quantum computing firm Quantinuum used a new Helios-1 quantum computer to simulate a mathematical model that has long been used to study superconductivity. These simulations are not ...
Warner Bros. Discovery (WBD), the massive media conglomerate that owns CNN, HBO and one of the nation’s premier movie studios, on Tuesday formally announced plans to explore a potential sale. Rumors ...
A major question looms over Colorado’s energy future: why does geothermal energy — a natural renewable resource — remain virtually untapped? Professor Bri-Mathias Hodge, based in the Department of ...
Are you a first-generation student interested in exploring experiential learning opportunities? Join the FLI Network and further campus partners for an Exploring Experiential Opportunities event on ...
BNY Mellon is exploring tokenized deposits to move part of its $2.5 trillion daily payment flow onto blockchain rails and modernize cross-border settlements. BNY, the largest custodian bank in the ...
Coinbase Global (NASDAQ:COIN)-started public blockchain, Base, is exploring the launch of a so-called 'network token'. Network tokens typically are used to pay for fees associated with making in-app ...
LAS VEGAS, Sept. 5, 2025 /PRNewswire/ -- PHONO, a global leading provider of PV products and solutions, is delighted to announce its participation in RE+ 2025, North America's largest three-day ...
Abstract: Deep learning is widely used in various fields of computer vision applications. However, the majority of these state-of-the-art deep learning architectures are computationally expensive and ...