A class of feedforward Bayesian models with partially connected architectures guided by predefined SNP-set annotations, implemented as open-source software for multi-scale genomic inference.
About Biologically Annoted Neural Networks (BANNs)
A class of feedforward Bayesian models with partially connected architectures guided by predefined SNP-set annotations, implemented as open-source software for multi-scale genomic inference.
Open-source feedforward Bayesian models with partially connected architectures guided by predefined SNP-set annotations, implemented in Python/TensorFlow, Python/numpy, and R fo...
“GitHub Copilot will bring huge benefits to our engineering teams by reducing the amount of time spent on boilerplate code, keeping the teams in their flow state, allowing them to ship high-quality products to market faster.”
“At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.”
Ali-Reza Adl-Tabatabai Senior Director of Engineering @ UberBiologically Annoted Neural Networks (BANNs) customer
“GitHub's endless plug-ins, beautiful UI, and optimized workflows make devs happy. Happy and empowered engineers write the best code, make better decisions, and have more time to innovate.”
Jen Peck Senior Director of Engineering @ RedfinBiologically Annoted Neural Networks (BANNs) customer
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Latest updates from Biologically Annoted Neural Networks (BANNs)
New feature
Claude Opus 5 Integrated into GitHub Copilot
GitHub has integrated Anthropic’s Claude Opus 5 model into GitHub Copilot. The model is optimized for complex, multi-step coding tasks such as autonomous code changes and regression verification. It includes enhanced security safeguards for high-harm cyber content. The model is available to Copilot Pro+, Max, Business, and Enterprise users across multiple interfaces, including VS Code, Visual Studio, and the Copilot CLI, with access controlled by organization-level policy settings.
GitHub Mobile now includes a functionality to address failing GitHub Actions checks directly from the app. When a CI failure occurs within a pull request, users can select a 'Fix with Copilot' option. The Copilot coding agent then creates a new pull request on top of the existing one, analyzes the specific error, and proposes a fix. Once implemented, the user is tagged for review to inspect and merge the suggested changes, streamlining bug resolution workflows for developers while mobile.
Company news
GitHub MCP Server Updated to Support Stateless Protocol
The GitHub MCP (Model Context Protocol) Server has been updated to support the upcoming stateless MCP specification, which takes full effect on July 28, 2026. The new protocol removes the need for persistent sessions and database-heavy initialization, aiming to improve scalability and reduce latency. GitHub's implementation has been modified to eliminate Redis-based sessions and move agent request logging to utilize HTTP headers. These changes preserve backwards compatibility while enhancing performance and verification capabilities for AI-assisted development.
New featurePartnership
GitHub Copilot Cloud Agent Integrates with Linear
GitHub has released a generally available Copilot cloud agent integration for Linear. This tool allows users to assign Linear issues to a background agent that analyzes content, generates draft pull requests in ephemeral environments, and streams progress updates directly back to the Linear activity timeline. Users can configure model selection, custom agent definitions, and target branches to align with specific development workflows. The integration is available as an app in the GitHub Marketplace for Copilot Pro, Pro+, Business, and Enterprise subscribers.
