New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

Deveillance’s Spectre I, developed by a recent Harvard grad, wants to give people control over the always-on wearables surrounding their lives. The problem? Physics.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

As electric vehicles (EVs) surge in popularity to combat climate change and reduce fossil fuel dependence, ensuring the ...

By enabling the analysis of micro-patterns, subtle conversion trends, persona-specific behaviors and more, AI is changing how growth leaders understand performance.