Tag: memory

  • Cloud Blog: Using capa Rules for Android Malware Detection

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/capa-rules-android-malware-detection/ Source: Cloud Blog Title: Using capa Rules for Android Malware Detection Feedly Summary: Mobile devices have become the go-to for daily tasks like online banking, healthcare management, and personal photo storage, making them prime targets for malicious actors seeking to exploit valuable information. Bad actors often turn to publishing and distributing malware…

  • 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…

  • Hacker News: Sound & Efficient Generation of DOP Exploits via Programming Language Synthesis [pdf]

    Source URL: https://ilyasergey.net/assets/pdf/papers/doppler-usenix25.pdf Source: Hacker News Title: Sound & Efficient Generation of DOP Exploits via Programming Language Synthesis [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel approach to generating data-oriented exploits through a technique called Programming Language Synthesis (PLS). This method improves the efficiency and soundness of exploit…

  • Hacker News: How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs

    Source URL: https://www.guru3d.com/story/amd-explains-how-to-run-deepseek-r1-distilled-reasoning-models-on-amd-ryzen-ai-and-radeon/ Source: Hacker News Title: How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the capabilities and deployment of DeepSeek R1 Distilled Reasoning models, highlighting their use of chain-of-thought reasoning for complex prompt analysis. It details how…

  • The Register: Intel has officially missed the boat for AI in the datacenter

    Source URL: https://www.theregister.com/2025/02/01/intel_ai_datacenter/ Source: The Register Title: Intel has officially missed the boat for AI in the datacenter Feedly Summary: But it still has a chance at the edge and the PC Comment Any hope Intel may have had of challenging rivals Nvidia and AMD for a slice of the AI accelerator market dissolved on…

  • Hacker News: Why Tracebit is written in C#

    Source URL: https://tracebit.com/blog/why-tracebit-is-written-in-c-sharp Source: Hacker News Title: Why Tracebit is written in C# Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the decision behind choosing C# as the programming language for a B2B SaaS security product, Tracebit. It highlights key factors such as productivity, open-source viability, cross-platform capabilities, language popularity, memory…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • Cloud Blog: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview

    Source URL: https://cloud.google.com/blog/products/compute/introducing-a4-vms-powered-by-nvidia-b200-gpu-aka-blackwell/ Source: Cloud Blog Title: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview Feedly Summary: Modern AI workloads require powerful accelerators and high-speed interconnects to run sophisticated model architectures on an ever-growing diverse range of model sizes and modalities. In addition to large-scale training, these complex models…