AI coding agents are highly vulnerable to zero-click attacks hidden in simple prompts on websites and repositories, a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...

Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...

Microsoft has begun decommissioning IntelliCode in VS Code, ending free local AI-assisted completions and shifting its ...

Stock Risk Analyzer is an open-source application designed to help investors, traders, and financial analysts assess the risk levels of stocks using machine learning techniques. By leveraging ...

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

Abstract: Variable-length feedback coding has the potential to significantly enhance communication reliability in finite block length scenarios by adapting coding strategies based on real-time ...

GitHub has added Anthropic's Claude Opus 4.5 to the set of models available in GitHub Copilot Chat, and the model is now selectable directly inside Microsoft developers' primary tools: Visual Studio ...