Algorithmic Research Group
Algorithmic Research Group (ARG) is at the forefront of scientific discovery through responsible AI. They develop advanced AI models and agents to accelerate scientific progress. Their mission includes creating agentic tools for analyzing, testing, and contributing to AI research processes, with a strong emphasis on AI safety. ARG has developed ArXivDLInstruct, an open-source dataset for instruction tuning on Python research code, and ARIA Benchmarks to evaluate machine learning knowledge in AI models. They also offer datasets and models for semantic search, summarization, and research code analysis. ARG is actively seeking partnerships to refine their AI-powered research platform, ProspectML, offering early access and a chance to influence its roadmap. Their team comprises individuals with experience from leading organizations like Apple, NASA, and Adobe, as well as academia from Duke and Northwestern Universities.
Algorithmic Research Group
Algorithmic Research Group (ARG) is at the forefront of scientific discovery through responsible AI. They develop advanced AI models and agents to accelerate scientific progress. Their mission includes creating agentic tools for analyzing, testing, and contributing to AI research processes, with a strong emphasis on AI safety. ARG has developed ArXivDLInstruct, an open-source dataset for instruction tuning on Python research code, and ARIA Benchmarks to evaluate machine learning knowledge in AI models. They also offer datasets and models for semantic search, summarization, and research code analysis. ARG is actively seeking partnerships to refine their AI-powered research platform, ProspectML, offering early access and a chance to influence its roadmap. Their team comprises individuals with experience from leading organizations like Apple, NASA, and Adobe, as well as academia from Duke and Northwestern Universities.