This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Microsoft’s top sales executive told staff on Friday that the company was uniquely positioned to compete against a new OpenAI ...

EZMedTech.ai has received a 2026 Global Recognition Award for its healthcare scheduling automation platform that combines ...

Google last week generated buzz with a new AI tool called Project Genie, which enables users to create and play in virtual ...

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

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

Thanjavur: Growing importance of interdisciplinary research and global partnerships in addressing contemporary scientific ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Abstract: This study proposes a novel synchronization framework for memristive chaotic systems (MCSs) through an enhanced deep reinforcement learning (DRL) approach, featuring an improved proximal ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and adaptive locomotion in simulation.