When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Abstract: This paper studies the distributed optimal cluster consensus control problem with a data-driven value iteration (VI) algorithm for Takagi-Sugeno (T-S) fuzzy multi-agent systems (MASs) with ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

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 ...

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

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.