Unveiling Hidden Cell Subtypes to Transform Cancer Research CellLENS is a groundbreaking artificial intelligence tool developed by a multidisciplinary team led by MIT designed to precisely identify which immune cells are fighting, helping, or hindering tumors,... artificial intelligence biomarkers cancer research cell subtypes deep learning immunotherapy precision medicine
How AI Is Changing Melanoma Immune Cell Assessment Technological advancements are rapidly transforming cancer diagnostics, and artificial intelligence (AI) is now setting a new standard. A recent Yale-led study reveals that open-source AI tools can o ... artificial intelligence cancer diagnosis clinical workflow digital pathology immune biomarkers melanoma tumor-infiltrating lymphocytes
How AI Is Breaking Down Language Barriers in Health Care MIT’s Language/AI Incubator is a pioneering project that leverages artificial intelligence to transform medical communication and promote equity in patient care. The project imagines a health care env... artificial intelligence communication cross-cultural health care language models medical education patient outcomes
MIT's Walk-Through Screening Systems Are Changing Airport Security The HEXWAVE system, developed by MIT Lincoln Laboratory, features advanced 3D microwave imaging, and enables seamless, on-the-move screening, promising a faster and less invasive experience for travel... airport security HEXWAVE microwave imaging MIT Lincoln Laboratory public safety security screening technology transfer threat detection
Figma Make and Supabase Integration Transforms Prototyping into Production-Ready Apps What if your Figma prototypes could instantly evolve into fully functional web apps, complete with a real backend? The latest Figma Make update makes this a reality by integrating Supabase’s ... AI integration authentication Figma file storage no-code prototyping Supabase web apps
AI-Powered Mock APIs: Supercharging Testing with Docker and Microcks Modern development demands more than cookie-cutter mock data. Test environments need to simulate real-world conditions, and static responses often fall short. By combining Docker Model Runner and Micr... AI testing Docker integration testing LLM Microcks mock APIs OpenAPI test automation
Amazon Bedrock AgentCore For Enterprise AI Agent Deployment Deploying AI agents in enterprise environments often means navigating complex infrastructure, security, and integration demands. While building AI prototypes is easier than ever, moving from a local d... agent deployment AI agents Amazon Bedrock cloud security enterprise AI identity management observability serverless
Supabase UI Platform Kit Accelerates Platform Development with Ready-Made Components If you’re looking to quickly create robust, user-friendly platforms atop Supabase, the new Platform Kit in the Supabase UI Library is a powerful addition to your toolkit. Designed in response to... developer tools frontend development open source PaaS Platform Kit Supabase UI components
Chaos to Clarity: GitHub Copilot Agents Revolutionize Developer Workflows GitHub Copilot agents can turn scattered scripts and half-finished projects into polished, maintainable solutions by acting as AI teammates that streamline workflows, refactor codebases, and tackle te... AI collaboration automation coding agent developer workflows GitHub Copilot repository management technical debt
Supercharge GitHub Copilot Coding Agent with a Customized Dev Environment A seamless development workflow, where tools are always ready and builds run without surprises, is key to productivity. You can achieve this level of efficiency and reliability by tailoring the enviro... automation dependencies development environment environment variables GitHub Actions GitHub Copilot Git LFS large runners
Why AI Isn’t Ready to Take Over All of Software Engineering - Yet Many of us software dev are starting to envision a future where AI handles the tedious aspects of software engineering; tidying up legacy code, migrating complex systems, and squashing bugs, while hum... AI challenges autonomous systems benchmarks code generation human-AI collaboration large codebases software engineering
MIT's CodeSteer Helps Language Models Outsmart Complex Problems Large language models (LLMs) have dramatically changed our relationship with AI, offering impressive fluency in language understanding and generation. Yet, when these models confront tasks that demand... AI coaching algorithmic tasks artificial intelligence code generation large language models machine learning MIT research symbolic reasoning