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Earlier sources: Hardware

Hardware is the physical foundation of computing: chips, sensors, devices, networks, and the processes that manufacture them. Follow semiconductor research, compute architectures, and engineering developments alongside their software and energy connections.

SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.

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519 classified signals in the fourteen-day window. Recent momentum: steady. 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.

  1. GitHub · Repository created · First archived

    conedamselsky/Microsoft-Word-365 ↗

    Microsoft Word is the desktop word processor in Microsoft 365. The 2024 and 2021 builds are for letters, reports, and long documents on one PC. Styles and headings stay in the file with the text. A long report can use several heading levels

  2. Hugging Face · Model / dataset date · First archived

    dhyun22/gpu-queue-status — dataset update ↗

    # GPU 큐 현황 **수집 시각 · 2026-10-02 12:00:23 KST** · 수집 노드 `glogin01` · epoch `1790910023` > 이 페이지는 로그인 노드의 수집 루프가 갱신합니다. **위 시각이 오래됐다면 잡이 없는 게 아니라 > 수집이 끊긴 것입니다.** 컴퓨트 노드는 외부 네트워크가 없어 로그인 노드에서만 돌릴 수 있습니다. 실행 0개 (GPU 0장) · 대기 0개 | | 잡ID | 계정 | 이름 | 파티션 | GPU | 경과 | 남은시간 | 노드 | |---|---|---|---|---|---|---|---|---| | — | — | 활성 잡 없음 | | | | | | | **클러스터 유휴 GPU 2장** — `gpu39:2` ### 최근 종료 (24시간) 체인 학습 잡은 시간 한도 20분 전에 `timeout` 으로 스스로 멈추고 다음 라운드를 제출합니다. 종료 코드가 124 라 sacct 가 `FAILED` 로 적지만 **정상 동작**입니다. 진짜 실패는 경과 시간이 한도보다 훨씬 짧거나 `iter_` 체크포인트가 늘지 않은 경우입니다. | 잡ID | 계정 | 이름 | 상태 | 경과 | 노드 | |---|---|---|

  3. Hacker News · Posted on Hacker News · First archived

    CIRCT – An experimental effort to apply MLIR and LLVM to hardware design tools ↗

    Hacker News discussion.

  4. Hacker News · Posted on Hacker News · First archived

    Show HN: Sovereign-NB: Sub-microsecond bare-metal neural engine in Rust (UEFI) ↗

    Hacker News discussion.

  5. Hacker News · Posted on Hacker News · First archived

    KernelBench: Can LLMs Write GPU Kernels? – Benchmark and Toolkit, Torch –> CUDA ↗

    Hacker News discussion.

  6. OpenAlex · Published · First archived

    SMART IOT SENSOR ANOMALY DETECTION AND MONITORING SYSTEM ↗

    The Smart IoT Sensor Anomaly Detection and Monitoring System is designed to observe readings from a network of low-cost sensors and to identify abnormal behaviour as soon as it appears. Sensor networks are now used in homes, laboratories, cold-storage rooms, water tanks, industrial sheds, and electrical panels to measure quantities such as temperature, humidity, gas concentration, vibration, voltage, and current. These networks produce a continuous stream of values, and a fault in the monitored equipment or in the sensor itself usually shows up first as an unusual pattern in that stream. The p…

  7. OpenAlex · Published · First archived

    Hydrophobic Silica Aerogel Thermal Protection for a Low-Power, Helium-3-Free Cosmic-Ray Neutron Soil Moisture Sensor in Hyper-Arid Rangeland ↗

    Soil moisture sensors in hyper-arid rangeland face temperatures beyond the range over which their electronics are specified, yet insulation placed around a neutron detector is a scatterer and risks being read as a change in soil water. We evaluate this trade-off computationally for a helium-3-free, boron-10-lined cosmic-ray neutron sensor fitted with an external hydrophobic silica aerogel sleeve. A voxel model of the instrument in a domain of its own size gives response functions, normalized to a maximum of 1.0 and applied to the spectrum of a 1000 m field simulation with no detector. A 20 mm…

  8. OpenAlex · Published · First archived

    Design and simulation of a 3D-stacked miniaturized ionization vacuum sensor with an external ion collector and magnetic electron confinement ↗

    Miniaturized ionization vacuum sensors face a fundamental performance bottleneck where extreme miniaturization leads to limited sensitivity and nonlinear deviations due to shortened electron paths, parasitic background currents, and poor electron confinement. This work presents a simulation-driven structural optimization strategy for 3D-stacked miniaturized ionization vacuum sensors. The optimized design combines an external ion collector, physically separated from the ionization chamber, with combined electric and magnetic fields for charged-particle regulation. The external collector geometr…

  9. OpenAlex · Published · First archived

    A Sensor Specification and Deployment Framework for Condition Monitoring of Existing Hydraulic Turbines ↗

    Hydraulic turbines increasingly operate under variable hydraulic regimes, creating a need for condition monitoring (CM) systems that support diagnostics and predictive maintenance, rather than only protection or threshold-based alarms. However, sensor selection in hydropower monitoring studies is often reported as an experimental detail, with limited guidance on how monitoring objectives, degradation mechanisms, measurable signatures, sensor modalities, data acquisition (DAQ) requirements and field constraints should be linked. This paper presents a sensor specification and deployment framewor…

  10. OpenAlex · Published · First archived

    Risk-Aware Integration of Photovoltaics and Battery Storage into Human–Cobot Manufacturing: A Digital-Twin-Ready Co-Optimization Model for Sustainable Industrial Transition ↗

    The increasing penetration of variable renewable energy requires industrial facilities to manage energy supply, production flexibility, and cost exposure simultaneously. This study develops a risk-aware model for the co-optimization of human–cobot production scheduling, on-site photovoltaic generation, and battery energy storage within a digital-twin-ready decision environment. The artifact is an offline prescriptive model; it is not connected to a physical production system and does not include automatic or real-time data exchange. A two-stage computational experiment was conducted using mixe…

Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.

How to assess evidence about Hardware

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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