Patented IoT system shifts food safety from reactive detection to proactive prevention, using AI sensor fusion to ...

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 ...

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 ...

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.

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

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

In today's digital age, visual data is experiencing explosive growth. Images, videos and other visual information contain rich semantic knowledge. However, due to their massive volume and complexity, ...