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

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, ...

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 ...

Artificial intelligence (AI) can be trained to see details in images that escape the human eye. In 2023, an AI neural network ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...

Businesses with a Mac-first strategy have long enjoyed the perception of inherent security from the Unix-based operating ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

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