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Earlier sources: Chips
This hardware thread follows chips through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗162 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Next BIG PC upgrade isn't a GPU Its a monitor ↗
Hacker News discussion.
- arXiv · Published · First archived
On-chip filled array hyperspectral kinetic inductance detectors (FHYKID) for line intensity mapping ↗
The next generation Line Intensity Mapping (LIM) experiments will require very high throughput instrumentation, and as a consequence high pixel counts focal planes. For the study of the [CII] line in the redshift range z=7-8, we develop a hyperspectral filled focal plane (FHYKID) operating in the range 210-235 GHz and with a spectral resolution reaching 120. The spectral filtering is achieved thanks to planar Slot Split Ring Resonators (SSRR) coupled to Lumped Element Kinetic Inductance Detectors (LEKID). This robust concept achieves, thanks to its simplicity, large quantum efficiency and is s…
- arXiv · Published · First archived
Protecting CPU AI On Edge TEEs: WebAssembly's Promise and Practical Challenges ↗
AI models on edge hardware contain important intellectual property (IP), but an adversary can steal it when they achieve root access. Trusted Execution Environments (TEE) like Arm TrustZone protect against these Operating System (OS) level attacks. However, they are challenging to use. More precisely, it is difficult to run unaltered applications inside a TEE. This work presents a solution that allows the execution of unaltered AI models, compiled to WebAssembly, on the WebAssembly Micro Runtime (WAMR) in OP-TEE for Arm TrustZone. Additionally, this work provides an AI model distributor that e…
- Hacker News · Posted on Hacker News · First archived
Show HN: Phobos – a tiny kernel language that now runs LLMs on a 2019 GPU ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI agent designs a complete RISC-V CPU from a 219-word spec sheet in 12 hours ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
SERV – The SErial RISC-V CPU ↗
Hacker News discussion.
- GitHub · Repository created · First archived
Phocinae/Phocinae-Largha-150M-v1 ↗
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹，大决断。
- OpenAlex · Published · First archived
Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing ↗
ABSTRACT Accurate, label‐free analysis of complex biological mixtures is limited by poor multiplexing scalability and inconsistent responses across sensor samples. We introduce a transformative sensing platform that integrates large‐scale photonic multiplexing with data‐driven analytics to overcome these constraints. Our modular, affordable glass‐chip whispering–gallery–mode (WGM) photonic architecture is designed to support simultaneous readout of up to 100 sensing channels comprising over 10 000 high‐Q microresonators, exceeding existing multiplexing capabilities by more than two orders of m…
- OpenAlex · Published · First archived
DPSM: Fine-Grained GPU Resource Management via Kernel Interception and TPC Control ↗
Modern deep learning workloads are increasingly co-located on a single GPU to improve hardware utilization, yet existing MPS-based sharing mechanisms expose concurrency without providing QoS-aware control. Deadline-constrained training jobs can suffer severe slowdown when co-executed with best-effort workloads, because MPS does not reason about job urgency or deadline slack. This paper presents DPSM, a transparent runtime system for QoS-first, throughput-aware co-scheduling of concurrent deep learning jobs on a single NVIDIA GPU. DPSM does not replace the native GPU scheduler, generate deadlin…
- Hacker News · Posted on Hacker News · First archived
Driving an Nvidia GPU from a Hobby Rust Kernel: GSP-RM to Vulkan ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Chips
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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