MCP transforms AI from static responders to active agents, reshaping SEO, brand visibility, and how LLMs connect content with ...

The new models are based on the company's previously released Phi 4 model, now transformed into reasoning models with better ...

Microsoft is rapidly rolling out support for MCP across its Azure cloud services and its AI development tools.

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Biocenter Oulu, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland ...

The platform also provides automated machine learning functionality to rapidly create accurate models, MLOps capabilities for model management and deployment, and responsible AI features to ensure ...

Previous research has shown, and our work reconfirmed, that pretraining with one bio-signal allows a machine-learning model to learn from another bio-signal with fewer labels. This shortcut means ...

He added that it is the first time that quantum computing has been used in real-machine operations for large model tasks, proving that the existing hardware is capable of supporting the fine ...

To ensure robust performance, we develop a bias correction method that guarantees both model accuracy and convergence, accompanied by a theoretical analysis. Experimental results on widely used deep ...