In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Nearly every music streaming platform increasingly relies on artificial intelligence-driven algorithms. School of Media Arts and Studies Director Josh Antonuccio discusses AI's role in the age of ...

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.

Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...