Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

What Are Non-Human Identities (NHIs) and Why Do They Matter for Enterprise Security? Cybersecurity is continually shifting, with machine identities, or Non-Human Identities (NHIs), emerging as a ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Louisiana-based boat builder Metal Shark, a supplier for the US Armed Forces and allies, and Tocaro Blue, a developer of ...