Google DeepMind
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2 months ago
● 2 sources
Biologists Omar Abudayyeh and Jonathan Gootenberg are using an AI system called Co-Scientist to identify genetic pathways that reverse cellular aging by screening thousands of genes and analyzing experimental results. The AI scanned tens of thousands of scientific papers to propose more than 20 novel genetic factors to test, with lab validation confirming that several of its recommendations successfully drove cells toward a younger state. The analysis time for large genetic screens dropped from six months to a few days, allowing the research team to identify and pursue promising aging-reversal candidates much faster.
Hugging Face Blog
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2 months ago
PaddleOCR 3.5 now allows its OCR and document parsing models to run using Hugging Face Transformers as an inference backend by setting the engine parameter to "transformers". The release introduces a flexible inference-engine interface where developers can select backends and configure backend-specific options like dtype, device placement, and attention implementation through an engine_config parameter. This integration reduces friction for developers building RAG, Document AI, and agent applications that already rely on PyTorch and Transformers infrastructure, while the paddle_static backend remains the recommended choice when maximizing throughput is the priority.
OpenAI Blog
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2 months ago
OpenAI and Dell announced a partnership to deploy Codex, OpenAI's code-generation model, in hybrid and on-premises enterprise environments. The collaboration enables organizations to run AI coding agents within their own infrastructure rather than relying solely on cloud-based solutions. Enterprises can now integrate automated code generation directly into their existing data workflows while maintaining control over sensitive information.
