
Explore latest ML developments: Gemma, Groq, Sora, Gemini updates. Dive into hardware advancements, AI ethics, and amusing incidents. Stay informed on cutting-edge AI progress and industry news.

Learn to train and deploy a custom object detection model on the Google Coral Dev Board Micro, achieving fast inference speeds with low power consumption. Hands-on guide covers data collection, model training, and deployment.

Explore the future of CI for large monorepos: smart parallelization, minimal configuration, and efficient task distribution. Learn how to optimize your CI pipeline for improved developer productivity.

Explore specialized processing units for AI/ML workloads in Kubernetes. Learn about GPUs and TPUs, their strengths, and effective implementation strategies for parallel processing in AI applications.

Explore PREEMPT_RT patch set challenges, future development considerations, and addressing limitations to maintain low latencies in real-time Linux systems.

Explore Chapel's vendor-neutral GPU support for portable, parallel computing across diverse hardware. Learn to write GPU-enabled programs and discover opportunities for open-source involvement.

Explore efficient augmented reality using Zephyr RTOS on simple hardware. Learn innovative software techniques for low-power AR designs and gain inspiration for challenging hardware projects.

Explore RISC-V, the open-source processor architecture revolutionizing computing. Learn its technical aspects, applications, and significance in this comprehensive overview.

Build a RAID RISC-V NAS using Banana Pi BPI-F3 and OpenMediaVault. Learn hardware setup, Bianbu OS installation, RAID configuration, and performance testing for a DIY network-attached storage solution.

Explore innovative MatMul-free language modeling techniques using quantization and recurrence, achieving comparable performance to traditional models while significantly reducing computational costs and memory usage.

Explore performance benchmarks and analysis of Multi-sized Transparent Huge Pages (THP) on ARM64 architecture, gaining insights into system optimization techniques.

Explore memory compression techniques for CXL technology, enhancing data center efficiency and performance in modern computing infrastructures.

Explore efficient techniques for recovering microarchitectural hash functions, enhancing understanding of hardware vulnerabilities and potential security implications.

Learn to simplify ML model training and inference across devices using Hugging Face Accelerate. Explore its low-level interface, hardware compatibility, and scalable deployment features.

Innovative approach using neural networks for IoT gateway modulators, offering improved extensibility and portability across diverse hardware platforms with enhanced efficiency.

Exploring routable PCIe fabric performance in composable infrastructures using rPCIeBench. Analyzes communication characteristics, traffic orchestration, and develops insights for optimizing flow scheduling in shared fabrics.

Innovative architecture enhancing programmable pipelines for advanced stateful packet processing, enabling flexible dataplane functions through augmented hardware and speculative execution techniques.

Explore InterLink, an open-source Virtual-Kubelet extension enabling seamless access to external hardware-accelerated machines through Kubernetes APIs, revolutionizing scientific computing workflows.

Investigates file fragmentation's impact on SSD performance, revealing die-level collisions as the main cause. Proposes a solution to mitigate performance drops without defragmentation.

Innovative caching design for near-storage accelerators, combining host and device capabilities to enhance I/O and data processing performance through collaborative caching and dynamic offloading.

Explore ultra-low power machine learning algorithms for monitoring cattle feed intake using accelerometer data, focusing on system design, implementation, and validation.