AI hardware news — GPUs, TPUs, custom AI chips, NVIDIA, AMD, Intel, and the infrastructure powering large-scale model training and inference.
Author's attempt to set up an HP OfficeJet printer wirelessly on OpenBSD using HPLIP and CUPS, which ultimately failed due to installation errors and inability to print. The author then shares a separate, successful expe…
The all-electric Mercedes-AMG GT 4-Door Coupe was unveiled in Los Angeles, marking a shift away from internal combustion engines with new axial motors from YASA and F1-derived battery cells. The vehicle features a redesi…
According to a recent leak, AMD may re-release its Ryzen 7 5800X3D CPU as a "10th Anniversary Edition" for the AM4 socket. This chip, which features extra L3 cache for improved gaming performance, would allow users to up…
Google Beam has introduced a new experiment that uses HP Dimension's immersive display to render remote participants in true-to-life size and position them as if seated around a table, paired with spatial audio to anchor…
Mathematical and network logic behind achieving perfect first-shot accuracy in Valorant after a clean movement key transition. It details two distinct timing windows—a client-side grace period of 15-38 milliseconds and a…
On May 20, a consortium of eight French companies including EDF, Orange, and Iliad (Free) announced the formation of AION to bid for one of five EU-funded AI Gigafactories. The project aims to build a sovereign infrastru…
The article describes Wi-Wi STAMP, a wireless time synchronization protocol developed by Japan's NICT that uses 900 MHz band interferometry to achieve picosecond-level phase sync and nanosecond-level time sync, with prot…
Importance of building secure and efficient AI agents that operate directly on consumer hardware rather than relying on cloud services. It highlights security risks like the CISA Admin leak of AWS GovCloud keys, and reco…
In April 2026, DeepSeek released its V4 model, a 1.6 trillion parameter MoE architecture, and for the first time officially validated its inference on Huawei's Ascend 950PR chip, marking a significant milestone for China…
Boston Metal, a startup originally known for developing technology to decarbonize steel production, has raised $75 million to pivot its focus toward producing critical metals like niobium, tantalum, and nickel. The compa…
AMD claims that its new Ryzen AI Halo workstation, priced at $4,000, can effectively pay for itself if used for "vibe coding" for eight hours a day. The article presents this as a cost-saving argument for developers who …
The article describes the author's experience implementing LZ4 decompression algorithms across multiple legacy 8-bit and 16-bit CPUs, including the Z80, Intel 8080, 8086, and 6502. The author explains how constraints fro…
Quilter's "Project Speedrun" successfully demonstrated an AI-designed computer that booted an operating system and ran sustained workloads on the first fabrication spin, with no respin required. The AI layout engine auto…
The author successfully ran MNIST digit recognition on an ESP32-C3 microcontroller by compiling a neural network directly into a C header file and executing it as firmware, without using TensorFlow, TFLite, or any ML run…
The Arduino VENTUNO Q is a dual-brain edge AI board featuring a 40 TOPS NPU and a deterministic microcontroller that communicate via an RPC bridge, enabling local AI processing without cloud dependency. It supports runni…
LiteRT, a cross-platform framework for on-device AI, enables developers to leverage Neural Processing Units (NPUs) for faster and more efficient AI features like real-time video effects and speech recognition. It highlig…
Researchers at UC San Diego, led by Hao Zhang, have successfully implemented a diffusion-style speculative decoding method called DFlash on Google TPUs, achieving an average 3.13x increase in tokens per second on TPU v5p…
Arm's Scalable Matrix Extension 2 (SME2) integrates a matrix-compute unit into the CPU, enabling up to 5x faster inference for generative AI workloads on mobile devices. It highlights how Google AI Edge, through tools li…
KTransformers is a GitHub project with over 17,000 stars that enables running massive 671-billion parameter models like DeepSeek-R1 on a single consumer machine (e.g., with 512GB RAM and one RTX 4090) at 286 tokens per s…
The Google Tensor ML SDK has moved from an Experimental Access Program to Beta, now integrating with LiteRT to provide a unified API for deploying machine learning models on the Tensor Processing Unit (TPU) of Pixel 10 d…