Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

Agentic AI systems are revolutionizing how organizations approach complex workflows, introducing autonomous agents capable of multi-step reasoning, decision-making, and task execution that operate ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

How machine learning can slash grid losses and boost renewables In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and detecting faults ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

Eleven machine learning (ML) models were trained, tested, and compared, and the best-performing model was selected for optimization and temporal validation. SHapley Additive exPlanations (SHAP) were ...

Databricks, a company that helps big businesses build custom artificial intelligence models, has developed a machine-learning trick that can boost the performance of an AI model without the need ...

Elephant Learning recognizes the vast potential of adaptive algorithms such as artificial intelligence (AI), as they have revolutionized various industries.

In an increasingly diversified educational landscape, adaptable curriculum development is critical to meeting the varying requirements of students. Traditional curriculum design approaches frequently ...