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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.
Open in the map ↗526 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
On-Device Is Not Private: Measuring Membership Leakage in Lightweight Sensor Anomaly Detectors ↗
Compressed-TinyML pipelines apply distillation, quantization and pruning to fit lightweight anomaly detectors onto resource-constrained sensor nodes. Such frameworks are routinely called privacy-aware on the strength of on-device inference or noisy federated updates rather than any measured guarantee, yet that assumption is rarely tested with a membership-inference attack. Across six multivariate time-series datasets (sensor, facility and finance) and four compact reconstruction-autoencoder architectures (84 experimental cells), a detector accurate enough to deploy (detection AUC 0.878) is vul…
- OpenAlex · Published · First archived
A wearable device data-driven artificial intelligence framework for personalized training guidance and its application in physical education teaching ↗
Wearable sensing creates an opportunity to tailor physical education (PE), but a deployable system must reconcile heterogeneous sampling rates, individual physiological variation, safety constraints, and classroom-scale latency. This study presents a scenario-oriented, full-chain framework that links multi-source sensing, edge preprocessing, spatiotemporal feature fusion, multi-task assessment, and multi-objective Actor-Critic decision support. Its distinguishing design is the coupling of individual baseline calibration with explicit objectives for training effectiveness, injury-risk control,…
- 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
Schottky-barrier semiconductor detectors for detecting alpha particles and neutrons ↗
Wide-bandgap semiconductor radiation detectors hold great promise for applications in harsh environments; however, traditional 4H-SiC Schottky detectors often suffer from interface degradation and increased leakage current under high-temperature conditions. To address this bottleneck, this study developed a 4H-SiC radiation detector utilizing a tungsten (W) Schottky contact, in which tungsten-induced interfacial carbide formation enhances thermal stability and suppresses leakage current degradation at high temperatures. Two-dimensional device modeling and transient pulse simulations were perfo…
- OpenAlex · Published · First archived
Patent review on revolutionary electrochemical CaCO 3 conversion for cement manufacturing ↗
Abstract Sustainable development has become a necessity in conventional cement production to reduce environmental impact. Global demand needs to reduce greenhouse gas (GHG) emissions. The transition to green cement manufacturing plays a key role in achieving net-zero carbon dioxide (CO 2 ) emissions and carbon-neutral concrete by 2050. This patent review highlights the importance and potential of green cement manufacturing through an electrochemical process, converting calcium carbonate (CaCO 3 ) into calcium hydroxide Ca(OH) 2 to produce ordinary Portland cement. This study reveals the entire…
- 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…
- OpenAlex · Published · First archived
Physics-grounded multi-agent architecture for traceable, risk-aware human–AI decision support in manufacturing ↗
High-precision CNC machining of free-form aerospace components requires bounded compensations informed by inspection, simulation, and process knowledge. Off-the-shelf large language model (LLM) assistants can generate text, but they do not reliably execute risk-constrained multi-step numerical workflows or provide auditable provenance for high-stakes decisions. We present multi-agent knowledge analysis (MAKA), a decision-support architecture that separates intent routing, tools-only quantitative analysis, knowledge graph retrieval, and critic-based verification that enforces physical plausibil…
- Hacker News · Posted on Hacker News · First archived
Surface Laptop Ultra has a release date – and a starting price of $2,599 ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Everything we know about Microsoft's Surface Laptop Ultra ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Microsoft's Surface Laptop Ultra Wants to Bring the Only Laptop You'll Ever Need ↗
Hacker News discussion.
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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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