Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...
High-performance computing (HPC) plays a critical role in scientific discovery, engineering simulation, and data-intensive applications. Open Multi-Processing (OpenMP) is one of the most widely ...
CodeTF is a one-stop Python transformer-based library for code large language models (Code LLMs) and code intelligence, provides a seamless interface for training and inferencing on code intelligence ...
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation ...
Looking at programming languages, it seems that for a long time, safety or reliability was considered an afterthought, usually covered later in tools such as testing and static analysis, rather than ...
Integrating malicious AI models 6 into software supply chains presents a significant and emerging threat to cybersecurity. The attackers aim to embed malicious AI models in software components and ...
Microsoft Adds Anthropic’s Model Context Protocol to Azure AI and Aligns with Open Agent Ecosystem
Microsoft is expanding its AI platform by adding support for the Model Context Protocol (MCP), a vendor-neutral system that lets AI agents exchange memory and tools over a shared interface. The move ...
Patched in the latest version of MLflow, the flaw allows attackers to steal or poison sensitive training data when a developer visits a random website on the internet. This has been a pivotal year for ...
Large language models like GPT-4 and tools like GitHub Copilot can make good programmers more efficient and bad programmers more dangerous. Are you ready to dive in? When I wrote about GitHub Copilot ...
We show here that astrocytic activity in the CA1 is modulated by reward location both when looking at single ROIs and at the entire imaged population. In contrast to place neurons, which fire ...
Money may not grow on trees, but it does grow in GitHub repos. Open source projects produce the most valuable and sophisticated software on the planet, free for the taking, dramatically lowering the ...
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...
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