Pacific, and her fellow researchers explore the influence of Big Data Analytics (BDA) in shaping strategic decision-making.

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

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

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 ...

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

Disruptive Futures Institute Chair Brings Breakout Bestseller Frameworks to Caribbean’s Premier Leadership Innovation ...

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 ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...

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 ...

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 ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...