Open Source MetricFlow for Trusted AI and Governed Metrics by dbtLabs AI is rapidly transforming how organizations use data, but consistent, trustworthy insights remain a challenge. The recent open sourcing of MetricFlow by dbt Labs is poised to change that, making gove... AI data governance dbt interoperability MetricFlow metrics open source semantic layer
BoltzGen: Transforming Protein Binder Design with Open-Source Generative AI Designing protein and peptide binders for any biomolecular target once seemed out of reach, especially for novel or highly complex molecules. Today, BoltzGen is changing that narrative. This innovativ... binder discovery biotechnology drug discovery generative AI MIT research open source protein design structure prediction
Unlocking Seamless AI Tool Discovery: The GitHub MCP Registry Revolution Finding and managing Model Context Protocol (MCP) servers used to be a confusing process, much like navigating a disorganized supermarket. The new GitHub MCP Registry brings structure and simplicity, ... AI tools automation developer workflow enterprise governance GitHub Registry MCP server management VS Code
Empowering Developers: Microsoft Fabric Extension for VS Code Goes Open Source Microsoft is inviting developers to take the reins with the open-source Fabric Core extension for Visual Studio Code. This strategic move not only demonstrates the company’s commitment to transparency... community data engineering developer tools extensions GitHub Microsoft Fabric open-source VS Code
Affordable AI Coding: How Developers Can Harness Powerful Tools for Less AI coding assistants have become increasingly accessible, offering developers robust features without a hefty price tag. With a growing range of open-weight models and competitive plans, it’s easier t... AI coding code generation developer tools free software LLMs open-weight models programming subscriptions
NVIDIA’s Open Models: Accelerating AI Innovation Across Industries Building the next generation of intelligent agents, robots, and biomedical breakthroughs without barriers is getting closer thanks to AI advancements at NVIDIA. They are releasing a comprehensive suit... AI models biomedical AI enterprise AI Nemotron open source physical AI robotics synthetic data
Revolutionizing Genome Annotation: The Power of SegmentNT Deciphering the human genome, with its 3 billion nucleotides, remains one of biology’s greatest challenges. Precisely mapping genes and regulatory elements is crucial for understanding gene expression... bioinformatics deep learning foundational models genome annotation genomics machine learning multi-species SegmentNT
Custom Agents Are Here In GitHub Copilot for Teams and Developers AI coding assistants have become essential, but what if they could adapt precisely to your team’s style and workflows? GitHub Copilot’s new custom agents make this possible, enabling developers to bui... AI assistants automation configuration custom agents developer workflow GitHub Copilot team collaboration
Streamline Your Workflow: Linear Integrates the GitHub Copilot Agent In a significant move for developer productivity, Linear has announced the integration of the GitHub Copilot agent directly within its platform. This new feature, detailed in their latest changelog...
OpenEnv: Fueling the Future of Agentic AI with Open, Standardized Environments AI agents are getting smarter, but their ability to interact with the world safely and effectively hinges on more than just powerful models. They require environments purpose-built for safety , flexib... agentic systems AI agents environments Hugging Face Meta open source reinforcement learning standardization
How Monarch and Lightning AI Are Transforming Distributed PyTorch Training in Notebooks Scaling AI experiments across massive GPU clusters is often a logistical challenge, especially for teams who want to maintain the interactive, iterative workflow of notebook development. The new integ... AI development debugging distributed training GPU clusters Lightning AI Monarch notebooks PyTorch
PyTorch Monarch: Single-Controller Distributed Programming for ML at Scale We now live in a world where ML workflows such as pre-training, post-training, and everything in between are heterogeneous, must contend with hardware failures, and are increasingly asynchronous and h... distributed-computing fault-tolerance gpu-clusters machine-learning monarch pytorch reinforcement-learning rust