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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 ↗527 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.
- Hacker News · Posted on Hacker News · First archived
Sensor Fusion ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
PSPi 6 – Raspberry Pi in a PSP ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Microsoft Launches Surface Laptop Ultra, Surface RTX Spark Dev Box ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Hybrid Quantum–Classical Convolutional Neural Networks for Medical Image Classification: A Review of Architectures, Applications, and NISQ Challenges ↗
Deep learning techniques have significantly enhanced medical image classification for disease diagnosis. However, traditional deep learning models face several challenges, such as dependence on large annotated datasets, complex architectural layers, and millions of trainable parameters, which can increase computational load and cause overfitting. Although quantum computing offers potential for parallel processing and improved feature representation, its practical use is limited by the current capabilities of Noisy Intermediate-Scale Quantum (NISQ) hardware. To overcome these issues, Hybrid Qua…
- OpenAlex · Published · First archived
A Flexible Thin‐Film Tactile Sensor for Robust Force and Position Sensing Under Extensive Deformations ↗
ABSTRACT Electronic skins capable of precise tactile perception under large mechanical deformations are critical for the advancement of soft robotics and wearable interfaces. However, achieving force and position perception in ultrathin flexible sensors while maintaining stable performance under mechanical deformation remains challenging. Here, we present a thin‐film flexible tactile sensor that can sense normal contact force and two‐dimensional in‐plane positional information, with stable performance across a range of bent states. Systematic characterization under flat and different bent stat…
- OpenAlex · Published · First archived
A QMIX-driven routing protocol for dynamic Underwater Acoustic Sensor Networks ↗
Abstract Reliable and energy-efficient data collection remains a fundamental challenge in Underwater Acoustic Sensor Networks (UASNs) owing to limited battery capacity, high propagation delay, dynamic network topology and unreliable communication links. To address these challenges, we propose a Cooperative Multi-Agent Reinforcement Learning (CMARL)-based data routing framework for dynamic UASNs. The routing problem is modeled as a Decentralized Partially Observable Markov Decision Process (Dec-POMDP), where each relay node acts as an autonomous routing agent using locally available information…
- OpenAlex · Published · First archived
36.5 W high-power 976 nm first-order DFB semiconductor diode ↗
High-power 976 nm semiconductor lasers are the core pump sources for ytterbium-doped fiber lasers (YDFLs). This paper reports a 976 nm distributed feedback (DFB) semiconductor laser that achieves an outstanding high-power continuous-wave (CW) output. Based on an epitaxial structure with extremely low internal loss, we calculated the influence of grating coupling strength on the longitudinal spatial hole burning (LSHB) effect under high-power conditions, and delicately designed the physical parameters of the first-order grating of the device. We fabricated a perfect sinusoidal first-order grati…
- OpenAlex · Published · First archived
Biochar copper nanocomposite modified sensor for the green electroanalytical sensing of paraquat ↗
Abstract Paraquat (PQ) is a widely used herbicide categorized as an environmental contaminant due to its high toxicity and risk to aquatic ecosystems and human health. In this study, we developed a Screen-printed Disposable Polyethylene Terephthalate (SD-PET) sensor using a green sodium alginate/graphite conductive ink. To maximize performance, the electrode surface was modified with a bamboo biochar composite incorporating copper nanoparticles (BC-CuNPs). Under optimized differential pulse voltammetry (DPV) conditions, the BC-CuNPs sensor outperformed the other configurations, displaying exce…
- OpenAlex · Published · First archived
Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms ↗
Modern communication systems increasingly shift computation to edge devices, where post quantum signing, generative AI and semantic communication must operate under strict energy, latency and memory constraints. A central bottleneck in these workloads is Gaussian sampling. In Falcon class signatures, sampling accounts for about 25% of operations and about 65% of signing time. In diffusion inference, repeated Gaussian injection across denoising steps makes edge deployment costly. Here we show that probabilistic Ising machines provide a hardware native route to random Gaussian distributions with…
- OpenAlex · Published · First archived
Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling ↗
Bayesian neural networks (BNNs) provide improved robustness and well‐calibrated uncertainty estimates compared with deterministic networks, but their hardware realization remains challenging because Gaussian weight sampling typically requires random number generators, substantial memory overhead, or additional circuitry. Here we experimentally characterize commercial vertical NAND (V‐NAND) flash memory and show that a fully hardware‐compatible BNN can be realized without modifying the native array structure. We demonstrate that although individual ISPP‐programmed V‐NAND cells exhibit non‐Gauss…
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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