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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 ↗535 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
Assessment of Chip Shape and Hole Quality in Drilling of AISI 304 Stainless Steel Under Flood and HPC Conditions ↗
Stainless steels are widely used in industry due to their favorable functional properties; however, their machining poses a significant technological challenge. This study analyzed chip shape, chip thickness ratio (Kh), hole dimensional accuracy, and surface topography of AISI 304 stainless steel during drilling as a function of cooling conditions and cutting parameters. Two values of cutting speed and feed rate were applied based on a 22 Full Factorial Design (FFD). The experiments were conducted under flood and high-pressure cooling (HPC) conditions. The results showed that at a high feed ra…
- OpenAlex · Published · First archived
Interval Lower-Bound QuantMiner for Identifying Equipment Group–Time Interval Conditions Inducing Quality Degradation in Multi-Stage Manufacturing ↗
Purpose: In multi-stage manufacturing, quality rarely stems from a single operation. It arises from the interaction of equipment routing and continuous conditions such as residence time. Conventional association rule mining is interpretable but confined to categorical conditions. Its reliance on discretization and defect count consequents obscures joint equipment and time effects and misses early quality degradation.Methods: We propose the Interval Lower-bound QuantMiner (ILQ-Miner). Each antecedent combines a categorical equipment group template with a continuous residence time interval [L, U…
- OpenAlex · Published · First archived
Sensor-driven evolutionary optimisation of mobile robot controllers using enzymatic numerical P systems ↗
Abstract In recent years, the application of membrane computing within the field of robotics has been widely investigated, providing a bio-inspired alternative to traditional control paradigms. This paper proposes an approach that combines Enzymatic Numerical P Systems (ENPS) with Non-dominated Sorting Genetic Algorithm (NSGA-II), a well-known multi-objective evolutionary optimisation algorithm, as core components of a real-time obstacle avoidance robot controller. The ENPS is employed as the computational framework due to its inherent parallelism, modular structure and suitability for sensor-…
- Hacker News · Posted on Hacker News · First archived
I built a FIDO2 hardware key. OpenAI says it isn't hardware enough ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Using the SNES Super FX Chip to Run Super Mario 64 ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
ESP-SDR: Raw IQ Capture with Espressif's ESP32 Chips ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Show HN: Nibia Fabric – Turn everyday computers into a shared AI compute cluster ↗
I built NIBIA Fabric, an open-source distributed LLM inference system that pools CPU and RAM across macOS, Linux, and Windows machines. It builds on llama.cpp, with capacity-aware scheduling, adaptive memory reservation, persistent tensor caching, and an OpenAI-compatible API. I’ve validated the current alpha on three physical machines across several models, including a 30B-class Qwen model, as well as GPT-OSS 20B. Feedback on the architecture an…
- GitHub · Repository created · First archived
fr0styx/zettnas-toolkit ↗
All-in-one chassis management suite for Zettlab NAS enclosures (D4/D6/D8): 640x172 LCD dashboard, ARGB lightbar effects & intelligent thermal fan curves.
- arXiv · Published · First archived
GameDev: GPU-accelerated model for dust evolution ↗
Grain growth and fragmentation through dust collisions in protoplanetary disks are strongly coupled with dust dynamics. This is because the spatial and velocity distributions of dust set the collision rates and outcomes, while dust grain sizes set the aerodynamic coupling with gas. However, existing dust evolution codes often rely on prescribed dust velocities and are mostly restricted to one or two spatial dimensions. In this work, we present GameDev, a dust evolution model accelerated by graphics processing units (GPUs) that couples independently evolved three-dimensional dust dynamics with…
- Hacker News · Posted on Hacker News · First archived
Montage Technology mass-produces fifth-generation DDR5 RCD chip at 8k MT/s ↗
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 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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