Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Nvidia Corporation faces a set of mixed catalysts with China market developments and technical trading signals. Read why NVDA ...

Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Meta Platforms (META) is a strong buy after its price dip, driven by AI-fueled growth and high margins. Read here for detailed investment analysis.

AI is moving closer to the investor’s decision loop, promising faster analysis, personalised insights and conversational interfaces. At the same time, it raises unresolved questions around ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's M4 Pro chip for almost a year, and in that time, I've come to find the ...