Tag: hardware co

  • Slashdot: Undocumented ‘Backdoor’ Found In Chinese Bluetooth Chip Used By a Billion Devices

    Source URL: https://hardware.slashdot.org/story/25/03/08/2027216/undocumented-backdoor-found-in-chinese-bluetooth-chip-used-by-a-billion-devices?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Undocumented ‘Backdoor’ Found In Chinese Bluetooth Chip Used By a Billion Devices Feedly Summary: AI Summary and Description: Yes Summary: The discovery of an undocumented backdoor in the widely used ESP32 microchip by researchers from Tarlogic Security highlights significant security vulnerabilities in IoT devices. This backdoor could facilitate various…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Hacker News: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon

    Source URL: https://community.amd.com/t5/ai/experience-the-deepseek-r1-distilled-reasoning-models-on-amd/ba-p/740593 Source: Hacker News Title: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the DeepSeek R1 model, a newly developed reasoning model in the realm of large language models (LLMs). It highlights its unique ability to perform…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…