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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.
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Open in the map ↗530 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.
- OpenAlex · Published · First archived
Optimization and thermal-hydraulic performance investigation of hierarchical-tapered manifold microchannel cold plate for chip cooling ↗
Manifold microchannel, as an emerging cooling solution, is of great significance for advancing chip thermal-management technologies. To further improve the comprehensive performance of manifold-microchannel structures, this paper proposes a hierarchical tapered manifold microchannel (HTMMC) liquid-cooling plate for server-chip heat dissipation. The performance advantages of the HTMMC cooling plate are demonstrated by both experimental tests and numerical simulations. Using the validated numerical model, a sequential framework consisting of single-factor experiments, Plackett-Burman screening e…
- OpenAlex · Published · First archived
Asymmetric Heterostructured Breathable Janus Nanofibrous Membranes for Deep Learning‐Assisted Wearable Sensing ↗
Long-term skin-interfaced wearable sensing requires integrated sweat management, breathability, thermal comfort, mechanical compliance, and stable signal acquisition, yet reconciling these requirements remains challenging in conventional homogeneous substrates or mechanically stacked multilayer sensors. Herein, we report an asymmetric heterostructured breathable Janus nanofibrous membrane (AHB-JNM) fabricated by in situ layered electrospinning for deep learning-assisted wearable sensing. The membrane combines a compact, low-surface-energy thermoplastic polyurethane/polydimethylsiloxane (TPU/PD…
- OpenAlex · Published · First archived
Stable and efficient n-type scaffolded semiconductor for photocatalytic hydrogen production under tungsten light irradiation ↗
Abstract The production of green hydrogen (H 2 ) is a sustainable strategy to address the current energy crisis without contributing to long-term greenhouse gas emissions. Many powder-based photocatalysts have shown great promise for light-driven H 2 generation; however, in either bulk or nanostructured powder form they suffer from slow electron-transfer kinetics, material loss and poor recyclability, resulting in low hydrogen-evolution performance. In this work, we uniquely report the synthesis of an n-type scaffolded Si–Zn x Mg 1-x O semiconductor composite with an illuminated surface area o…
- OpenAlex · Published · First archived
Embedded Cardiorespiratory Monitoring Using a 77 GHz FMCW Radar: On-Chip Multi-Timescale Tiny 1D CNN and Whole-Node Power Evaluation ↗
A 77-GHz radar can detect small chest movements induced by cardiac activity and respiration; however, typical systems transmit the acquired signals to an external computer for processing. This limits the development of autonomous and energy-efficient monitoring devices. This study presents a system in which radar signal processing, signal quality assessment, and heart rate (HR) and respiratory rate (RR) estimation are performed directly on the AWR1843 radar device. A Tiny 1D CNN used a 10-s observation window for HR and a 30-s window for RR, producing updated estimates every 1 s. The system wa…
- OpenAlex · Published · First archived
Hardware‐Efficient FMCW Laser Ranging Beyond the Coherence Length Approaching the Wiener Phase Noise Limit ↗
ABSTRACT Coherent ranging based on frequency‐modulated continuous‐wave (FMCW) lasers is highly promising for autonomous systems. However, the high‐cost laser source hinders the large‐scale deployment of FMCW lidar, which requires both narrow linewidth and large tuning bandwidth. With increasing computational power, digital parameter estimation offers an alternative solution to overcome the laser phase noise, thereby paving the way for low‐cost FMCW lidar. Here, we propose a model‐driven estimation framework that enables high‐precision FMCW ranging beyond the coherence length limit with high ha…
- OpenAlex · Published · First archived
Two-Stage Method of Manufacturing Passive Conducting Structures by Laser Decomposition of AlN Ceramics ↗
This paper presents a two-stage method for fabricating passive conductive structures of arbitrary geometry on aluminum nitride (AlN) ceramic substrates via laser decomposition using nanosecond pulses of Nd:YAG fiber laser (λ = 1062 nm). We developed a two-stage process which allows one to create elements of low resistance and produce permanent joints to the obtained structures. Studies of laser decomposition of AlN under variable process conditions have shown that effective decomposition of the AlN ceramic surface layer should be carried out in an atmosphere of argon with laser beam fluence we…
- OpenAlex · Published · First archived
Evaluating Pose Estimation Uncertainty From Automatic Point Cloud Registration in Multi‐Sensor Robotic Systems ↗
ABSTRACT The poses derived from automatic point cloud registration between stationary laser scans that occur naturally in robotic multi‐sensor systems operating in stop‐and‐go mode have the potential to greatly improve and aid localization and trajectory estimation. The uncertainty assessment of these registered poses is crucial for its correct system integration and utilization, for example, for mobile mapping applications. However, obtaining ground truth data with sufficient accuracy for both the position and attitude remains challenging. In this paper, we present a novel measurement setup a…
- OpenAlex · Published · First archived
Compact target-aware stability-based feature selection for cross-dataset wearable activity monitoring ↗
Wearable activity-recognition models may lose reliability when transferred across participants, sensor placements, sampling rates, acquisition protocols, and activity definitions. This study evaluates a compact unsupervised target-aware feature-selection strategy for cross-dataset wearable activity monitoring under a pre-specified MHEALTH → PAMAP2 transfer protocol. Five-second wearable-signal windows were represented using 270 handcrafted inertial and magnetic descriptors. Source-domain mutual-information relevance was then combined with unlabeled source–target descriptor stability to select…
- OpenAlex · Published · First archived
Multi-Sensor Monitoring of Underground Heritage Sites: A Case Study of the Dragon’s Den Cave and St. Kinga’s Chapel in Poland ↗
Long-term structural health monitoring of underground heritage sites is challenging because of high humidity, limited accessibility, complex geological conditions, and aggressive saline environments. This study presents the implementation and long-term assessment of an integrated multi-sensor telemetric monitoring system deployed in two historically significant sites: Dragon’s Den Cave beneath Wawel Castle and St. Kinga’s Chapel in the Wieliczka Salt Mine. The system combines displacement sensors, strain measurements on rock anchors, and microclimate monitoring to assess structural behavior an…
- GitHub · Repository created · First archived
loopai-hq/pulsar ↗
Pulsar (formerly fastkernel): the fastest inference engine for Qwen3.8-27B and Qwen3.6-35B-A3B on Apple Silicon
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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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