MIT engineers develop a way to determine how the surfaces of materials behave
MIT engineers develop a machine learning approach to accurately determine the behavior of material surfaces, providing more detailed information than conventional methods.
Building end-to-end security for Messenger
Upgrading Messenger to use end-to-end encryption (E2EE) by default, ensuring secure and private conversations.
How we used OpenBMC to support AI inference on GPUs around the world
Using OpenBMC for GPU support in Cloudflare's global network
The greenest energy is the energy you don’t use
Exploring the concept of energy efficiency and the importance of reducing energy consumption to achieve a sustainable energy transition.
How Our Engineers Hot-Patched a Third Party Binary Library
Learn how our engineers tackled a technical challenge by hot-patching a third party binary library
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart
Eric Evans to step down as director of MIT Lincoln Laboratory
Eric Evans will step down as director of MIT Lincoln Laboratory after 18 years, transitioning into a role as fellow in the director's office and senior fellow in the Security Studies Program.
Chrome Enterprise 2023: A Year of Innovation Wrapped Up
Chrome Enterprise highlights its year of innovation in 2023, focusing on enhanced security controls, empowering IT teams, and improving browser accessibility.
How we’re experimenting with LLMs to evolve GitHub Copilot
Exploring the use of LLMs in evolving GitHub Copilot to empower developers in the software development lifecycle.
Creating High Quality RAG Applications with Databricks
Creating high-quality Retrieval-Augmented-Generation (RAG) applications using Databricks.
Dynamic Workload Scheduler: Optimizing resource access and economics for AI/ML workloads
Dynamic Workload Scheduler optimizes resource access and economics for AI/ML workloads.
Scaling Large Language Models to zero with Ollama
Scaling Large Language Models to zero with Ollama