Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal accountability in discrimination law.

Data-driven planning enables route reductions and improved driver alignment without changing bell times or stop ...

Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge devices, enterprises, multiple cloud providers, and autonomous software ...

Towards the normativity of AI-driven BCI technologies in product liability in healthcare,” published in AI & Society. In their research, the researchers analyze how emerging AI-driven ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

TORONTO and DAEJEON, South Korea, March 11, 2026 (GLOBE NEWSWIRE) -- Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, has partnered with the Electronics and ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

This year, Neural built on that success with the Quad Cortex mini, which shrinks the device size in half, cuts the ...

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...

Abstract: Federated learning (FL), a paradigm of distributed machine learning, aims to utilize user data for model training while safeguarding data privacy. However, numerous challenges arise in ...