Tootfinder

2022 retro-link! https://www.linusakesson.net/hardware/theremin/ - Commodore 64 Theremin.

Neue iPads und Macs wohl in dieser Woche, aber ohne Apple-Event
Bis zur Vorstellung neuer Apple-Produkte dauert es nicht mehr lange, wie informierte Kreise schreiben. Die Präsentation ist wohl "low key" geplant.

A look at Apple's hubris that doomed the electric car project, spring hardware updates without a dedicated event, and Dan Riccio's retirement plans (Mark Gurman/Bloomberg)
https://www.bloomberg.com/news/newslette…

Why Was Apple Car Canceled? The Hubris in Apple Thinking It Could Outdo Tesla
Apple’s belief that it could create a better car than Tesla and the rest of the automotive industry ultimately led to the downfall of the project. Also: The company’s next Macs and iPads get closer, AppleCare is told not to speculate about app side loading in the US, and Apple’s longtime hardware engineering chief nears retirement.

Open-Source Thermostatic Radiator Valve (OpenTRV) - OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating

Open-Source Thermostatic Radiator Valve (OpenTRV)
OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating #cutCarbon

Google bringt KI-Modell Gemini Nano doch auf das Pixel 8
Wegen "Hardware-Einschränkungen" sollte Googles KI-Modell Gemini Nano nur auf dem Pixel 8 Pro laufen. Nun geht es offenbar doch.
https:/…

Almost Making a Camera Sensor From Scratch
https://poliverso.org/display/0477a01e-26e834be-5d88f39a7aae835a
Almost Making a Camera Sensor From Scratch On our travels round the hardware world we’ve encountered more than one group pursuing the goal of…

Falls Euch Ostermundigen nicht zu weit weg ist? Wir hätten noch einen #swissICT Anlass der Fachgruppe Sourcing&Cloud am 13. März ab 16:00 Uhr.
Was genau hat denn die #Hardware in der Cloud mit #Serverless

Sourcing&Cloud - Serverless

Gravis-Aus: Das macht man mit Gutscheinen, Garantie und Geräten
Nach Ankündigung der Schließung der Hardware-Kette durch Mutter Freenet hat das Unternehmen nun einige Details publiziert, was das für Bestandskunden heißt.
<…

Ergodic Spectral Efficiency Analysis of Intelligent Omni-Surface Aided Systems Suffering From Imperfect CSI and Hardware Impairments
Qingchao Li, Mohammed El-Hajjar, Lajos Hanzo
https://arxiv.org/abs/2405.01167

Ergodic Spectral Efficiency Analysis of Intelligent Omni-Surface Aided Systems Suffering From Imperfect CSI and Hardware Impairments
In contrast to the conventional reconfigurable intelligent surfaces (RIS), intelligent omni-surfaces (IOS) are capable of full-space coverage of smart radio environments by simultaneously transmitting and reflecting the incident signals. In this paper, we investigate the ergodic spectral efficiency of IOS-aided systems for transmission over random channel links, while considering both realistic imperfect channel state information (CSI) and transceiver hardware impairments (HWIs). Firstly, we fo…

It is absolutely mind bending how many options ffmpeg has. I've been trying to convince it to use the old Radeon 2600 Pro graphics hardware acceleration. No luck finding the magic command yet! :)
#ffmpeg #commandline

Wenn es für "deutsche Kryptotechnik" ein Problem ist dass ein Laptop mit selbiger einem Geheimdienst in die Hände fällt dann ist das Problem übrigens in erster Linie die deutsche Kryptotechnik. Dass das @… sowas immer noch macht, obwohl man damit schon oft auf die Nase gefallen ist...

Spionage: Jan Marsalek lieferte Geheim-Laptop an russische Agenten
Die Agentenaffäre um Jan Marsalek weitet sich aus: Der Ex-Wirecard-Manager soll Moskau mit sensibler IT-Hardware versorgt haben. Darunter war auch ein Laptop – mit deutscher Kryptotechnik.

Interesting - and logical - to see the first third-party distributor of Tesla DC chargers adding smart charging ("automates charging when energy costs are low") as a key feature for fleets.
https://bppulsefleet.com/fleet/product

EV charging bundle with Tesla hardware - bp pulse
The bp pulse EV charging bundle with Tesla hardware combines ultra-fast Tesla hardware, charge management software, and warranty in one solution for smarter, more reliable EV fleet charging.

The UK is the first country to ban default passwords on IoT devices.
https://therecord.media/united-kingdom-bans-defalt-passwords-iot-devices

This https://arxiv.org/abs/2309.08656 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts
Neutral Atom Quantum Computing (NAQC) emerges as a promising hardware platform primarily due to its long coherence times and scalability. Additionally, NAQC offers computational advantages encompassing potential long-range connectivity, native multi-qubit gate support, and the ability to physically rearrange qubits with high fidelity. However, for the successful operation of a NAQC processor, one additionally requires new software tools to translate high-level algorithmic descriptions into a ha…

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Dayou Du, Gu Gong, Xiaowen Chu
https://arxiv.org/abs/2405.00314

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Vision Transformers (ViTs) have recently garnered considerable attention, emerging as a promising alternative to convolutional neural networks (CNNs) in several vision-related applications. However, their large model sizes and high computational and memory demands hinder deployment, especially on resource-constrained devices. This underscores the necessity of algorithm-hardware co-design specific to ViTs, aiming to optimize their performance by tailoring both the algorithmic structure and the u…

there should really be regulation on standardising console accessories, it is really dumb that you can buy two racing wheels or guitar controllers or whatever other niche controller of the same model and one will only work on playstation and the other will only work on xbox despite them being the exact same hardware, some of those controllers can be like >1k you shouldnt be expected to buy two because you have two different consoles

Web in 2024 (vs 10 or even 5 years ago):
✅ servers: disks and CPU so much faster; RAM so much cheaper
✅ browsers running on so much more powerful hardware
✅ technologies like CDNs moving delivery so much closer to users
✅ connection speeds—on average—so much faster
❌ page load times and performance hilariously, stupidly, so much worse in almost all cases

Open-Source Thermostatic Radiator Valve (OpenTRV) - OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating

Open-Source Thermostatic Radiator Valve (OpenTRV)
OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating #cutCarbon

To get a stethoscope into Gaza you needed to buy a TV:
Resisting the blockade in Gaza with Mohammed Abu Matar from Tashkeel3D.
"I met Mohammad in 2018 while interning at a digital fabrication lab in Amman, Jordan. It was late afternoon, and the lab was almost deserted. Two men were playfully experimenting with the laser cutter, trying to figure out how it worked while sharing a moment of fun.
"Intrigued, I approached them to see if they needed any help figuring it out. They seemed to have navigated their way around the tool, so we started chatting.
"I couldn't help but stare at an orange plastic object in front of them. It had a central Y-shaped component with a transparent, flexible tube hanging from its tail, and a circular plastic piece attached to it. They handed me two rubber earbuds to fix on each end of the Y-shaped piece: it was a stethoscope, with some parts 3D-printed, and others bought and assembled.
"Mohammad and his friend were in transit in Amman awaiting a Canadian visa. Their team was invited to attend a conference to showcase their work on manufacturing open-source medical hardware in Gaza. Unfortunately, they were denied a visa to Canada, and so they returned home."
“Why not just buy stethoscopes?” I asked. Mohammed explained that first of all, bringing stethoscopes into Gaza was often impossible because the Israeli occupation arbitrary restricts entry of aid claiming they are dual-use goods. Second, buying stethoscopes in large quantities wasn’t feasible as they are expensive.
For emphasis, the Israeli occupation bans many essential and life-saving medical equipment under the dual-use goods claim. These restrictions began with the land-air-sea blockade on Gaza in 2007.
Full article: https://globalvoices.org/2024/03/27/to-get-a-stethoscope-into-gaza-you-needed-to-buy-a-tv/

Bericht: Apples "Next Big Thing" könnte ein Haushaltsroboter sein
Nach dem Ende seines E-Auto-Projekts ist Apple auf der Suche nach dem nächsten großen Hardware-Vorhaben. Einem Bericht zufolge könnte das "Home Robotics" sein.

Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware
Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca
https://arxiv.org/abs/2405.01305

Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware
Programming recurrent spiking neural networks (RSNNs) to robustly perform multi-timescale computation remains a difficult challenge. To address this, we show how the distributed approach offered by vector symbolic architectures (VSAs), which uses high-dimensional random vectors as the smallest units of representation, can be leveraged to embed robust multi-timescale dynamics into attractor-based RSNNs. We embed finite state machines into the RSNN dynamics by superimposing a symmetric autoassoci…

I mostly dislike the Digital Foundry videos about consoles. These guys (well, excluding Oliver) compare everything with their jewel encrusted 4090s, and instead of fun and games, talk about frames per second, or how 10 less frames per second make your existence on this planet devoid of meaning, or why playing without RT means you don't actually play a game. They "discuss" rumors. They benchmark the same hardware for three straight years. Basically, they've run out of things…

🐽 Mill’s updated bin will turn your food waste into chicken feed before breakfast
#startups

Mill’s updated bin will turn your food waste into chicken feed before breakfast | TechCrunch
The Nest co-founders’ latest startup quickly incorporated customer feedback, arriving at not just new hardware but a tweaked business model, too.

SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators
Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
https://arxiv.org/abs/2405.00790

SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators
Emerging multi-model workloads with heavy models like recent large language models significantly increased the compute and memory demands on hardware. To address such increasing demands, designing a scalable hardware architecture became a key problem. Among recent solutions, the 2.5D silicon interposer multi-chip module (MCM)-based AI accelerator has been actively explored as a promising scalable solution due to their significant benefits in the low engineering cost and composability. However, …

@… @… @… I love my supernotes (from ratta) but they are expensive.
Hardware is not opensource and software , it depends on the model : some are …

Microsoft and Quantinuum detail a breakthrough in quantum error correction, helping run 14,000 experiments with no errors, an issue that has vexed the industry (Frederic Lardinois/TechCrunch)
https://techcrunch.com/2024/04/03/micr

Microsoft and Quantinuum say they've ushered in the next era of quantum computing | TechCrunch
Microsoft and Quantinuum today announced a major breakthrough in quantum error correction. Using Quantinuum's ion-trap hardware and Microsoft's new

«Revive that Old Computer with antiX Linux»
#linux

https://acrobat.adobe.com/id/urn:aaid:sc:EU:7c6985be-ddbd-4127-b0e4-c0224b95ddfd
1 Bit LLM with the potential to be more efficient if there will be specialized hardware.

K-CIRCT: A Layered, Composable, and Executable Formal Semantics for CIRCT Hardware IRs
Jianhong Zhao, Jinhui Kang, Yongwang Zhao
https://arxiv.org/abs/2404.18756

K-CIRCT: A Layered, Composable, and Executable Formal Semantics for CIRCT Hardware IRs
CIRCT, an open-source EDA framework akin to LLVM for software, is a foundation for various hardware description languages. Despite its crucial role, CIRCT's lack of formal semantics challenges necessary rigorous hardware verification. Thus, this paper introduces K-CIRCT, the first formal semantics in {\K} for a substantial CIRCT subset adequate for simulating a RISC-V processor. Our semantics are structured into multiple layers: (1) MLIR static semantics, which covers fundamental MLIR concepts …

This https://arxiv.org/abs/2402.12374 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
As the usage of large language models (LLMs) grows, performing efficient inference with these models becomes increasingly important. While speculative decoding has recently emerged as a promising direction for speeding up inference, existing methods are limited in their ability to scale to larger speculation budgets, and adapt to different hyperparameters and hardware. This paper introduces Sequoia, a scalable, robust, and hardware-aware algorithm for speculative decoding. To attain better scal…

Honestly, if I end up not being able to find a phone with a headphone jack when my current phone dies, carrying around an (open hardware) mp3 player starts to look pretty appealing. https://mastodon.social/@foon/112026547734266924

Joel Kin (@foon@mastodon.social)
Attached: 1 image Reject modernity • embrace tradition

Grumble, grumble, grumble - Because we make products (software/hardware) that are sometimes used by or sold to the US government we gotta have those weirdly worded Restricted Rights Legends.
Now it appears we will have to be rewriting those - and replacing the umpteen hundred places where those legends appear on our code, documentation, and products.
We don't get any $$ from the gov't to develop our products, except perhaps via an R&D tax credit, so much of these writ…

if you're a hardware person and you talk to me i will sometimes meow at you

This https://arxiv.org/abs/2310.09977 has been replaced.
link: https://scholar.google.com/scholar?q=a

ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation
We introduce ABACuS, a new low-cost hardware-counter-based RowHammer mitigation technique that performance-, energy-, and area-efficiently scales with worsening RowHammer vulnerability. We observe that both benign workloads and RowHammer attacks tend to access DRAM rows with the same row address in multiple DRAM banks at around the same time. Based on this observation, ABACuS's key idea is to use a single shared row activation counter to track activations to the rows with the same row address i…

The Least Prime in Arithmetic an Progression
Andrew Fiori
https://arxiv.org/abs/2404.02329 https://arxiv.org/pdf/2404.02329

The Least Prime in Arithmetic an Progression
In his 1979 paper Samuel Wagstaff studied the problem of bounding the first prime in an arithmetic progression. In this paper we update a number of his computations using advances in hardware. Based on this we refine his conjecture on Primes in Arithmetic Progression and provide further numerical evidence in support of it. For instance we conjecture that for $n>3$ we have a bound of $3ϕ(n)\log(n)\log(ϕ(n))$ and verified this bound to $10^8$.

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Dayou Du, Gu Gong, Xiaowen Chu
https://arxiv.org/abs/2405.00314

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Vision Transformers (ViTs) have recently garnered considerable attention, emerging as a promising alternative to convolutional neural networks (CNNs) in several vision-related applications. However, their large model sizes and high computational and memory demands hinder deployment, especially on resource-constrained devices. This underscores the necessity of algorithm-hardware co-design specific to ViTs, aiming to optimize their performance by tailoring both the algorithmic structure and the u…

Space Debris Reliable Capturing by a Dual-Arm Orbital Robot: Detumbling and Caging
Akiyoshi Uchida, Kentaro Uno, Kazuya Yoshida
https://arxiv.org/abs/2405.00943

Space Debris Reliable Capturing by a Dual-Arm Orbital Robot: Detumbling and Caging
A chaser satellite equipped with robotic arms can capture space debris and manipulate it for use in more advanced missions such as refueling and deorbiting. To facilitate capturing, a caging-based strategy has been proposed to simplify the control system. Caging involves geometrically constraining the motion of the target debris, and is achieved via position control. However, if the target is spinning at a high speed, direct caging may result in unsuccessful constraints or hardware destruction;…

This https://arxiv.org/abs/2309.17233 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Open Hardware Solutions in Quantum Technology
Quantum technologies such as communications, computing, and sensing offer vast opportunities for advanced research and development. While an open-source ethos currently exists within some quantum technologies, especially in quantum computer programming, we argue that there are additional advantages in developing open quantum hardware (OQH). Open quantum hardware encompasses open-source software for the control of quantum devices in labs, blueprints and open-source toolkits for chip design and o…

Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments
Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Ibrahim Hemadeh, Arman Shojaeifard, Lajos Hanzo
https://arxiv.org/abs/2405.01146

Energy-Efficient Reconfigurable Holographic Surfaces Operating in the Presence of Realistic Hardware Impairments
Reconfigurable holographic surfaces (RHSs) constitute a promising technique of supporting energy-efficient communications. In this paper, we formulate the energy efficiency maximization problem of the switch-controlled RHS-aided beamforming architecture by alternately optimizing the holographic beamformer at the RHS, the digital beamformer, the total transmit power and the power sharing ratio of each user. Specifically, to deal with this challenging non-convex optimization problem, we decouple …

To get a stethoscope into Gaza you needed to buy a TV:
Resisting the blockade in Gaza with Mohammed Abu Matar from Tashkeel3D.
"I met Mohammad in 2018 while interning at a digital fabrication lab in Amman, Jordan. It was late afternoon, and the lab was almost deserted. Two men were playfully experimenting with the laser cutter, trying to figure out how it worked while sharing a moment of fun.
"Intrigued, I approached them to see if they needed any help figuring it out. They seemed to have navigated their way around the tool, so we started chatting.
"I couldn't help but stare at an orange plastic object in front of them. It had a central Y-shaped component with a transparent, flexible tube hanging from its tail, and a circular plastic piece attached to it. They handed me two rubber earbuds to fix on each end of the Y-shaped piece: it was a stethoscope, with some parts 3D-printed, and others bought and assembled.
"Mohammad and his friend were in transit in Amman awaiting a Canadian visa. Their team was invited to attend a conference to showcase their work on manufacturing open-source medical hardware in Gaza. Unfortunately, they were denied a visa to Canada, and so they returned home."
“Why not just buy stethoscopes?” I asked. Mohammed explained that first of all, bringing stethoscopes into Gaza was often impossible because the Israeli occupation arbitrary restricts entry of aid claiming they are dual-use goods. Second, buying stethoscopes in large quantities wasn’t feasible as they are expensive.
For emphasis, the Israeli occupation bans many essential and life-saving medical equipment under the dual-use goods claim. These restrictions began with the land-air-sea blockade on Gaza in 2007.
Full article: https://globalvoices.org/2024/03/27/to-get-a-stethoscope-into-gaza-you-needed-to-buy-a-tv/

We’re getting to that point with personal computers and phones too.
We've largely reached the point of most people having quite enough computing power at the ready for their personal use and entertainment. Even if hardware and software can keep advancing as it has in recent decades, we don't have the capacity to do anything directly with that extra power. …

Heterogeneous Data Access Model for Concurrency Control and Methods to Deal with High Data Contention
Alexander Thomasian
https://arxiv.org/abs/2404.02276 …

Heterogeneous Data Access Model for Concurrency Control and Methods to Deal with High Data Contention
OLTP has stringent performance requirements defined by Service Level Agreements. Transaction response time is used to determine the maximum throughout in benchmarks. Capacity planning tools for OLTP performance are based on queueing network models for hardware resources and database lock contention has a secondary effect on performance. With ever increasing levels of e-commerce and surges in OLTP traffic we discuss the need for studies of database workloads to develop more realistic lock/latch …

HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection
Jaidev Shastri, Xiaoguang Wang, Basavesh Ammanaghatta Shivakumar, Freek Verbeek, Binoy Ravindran
https://arxiv.org/abs/2404.19139

HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection
Data race, a category of insidious software concurrency bugs, is often challenging and resource-intensive to detect and debug. Existing dynamic race detection tools incur significant execution time and memory overhead while exhibiting high false positives. This paper proposes HMTRace, a novel Armv8.5-A memory tag extension (MTE) based dynamic data race detection framework, emphasizing low compute and memory requirements while maintaining high accuracy and precision. HMTRace supports race detect…

Graduating student is struggling to secure an entry-level cybersecurity job, facing rejections and being told they're overqualified. They're seeking advice on how to improve skills or land a job while planning to start a masters degree. They have experience in consulting, threat intelligence, and hardware support. https://reddit.com/r/cybersecurity/comments/1cio1ve/

Hardware Accelerators for Autonomous Cars: A Review
Ruba Islayem, Fatima Alhosani, Raghad Hashem, Afra Alzaabi, Mahmoud Meribout
https://arxiv.org/abs/2405.00062

Hardware Accelerators for Autonomous Cars: A Review
Autonomous Vehicles (AVs) redefine transportation with sophisticated technology, integrating sensors, cameras, and intricate algorithms. Implementing machine learning in AV perception demands robust hardware accelerators to achieve real-time performance at reasonable power consumption and footprint. Lot of research and development efforts using different technologies are still being conducted to achieve the goal of getting a fully AV and some cars manufactures offer commercially available syste…

I'm a bit surprised that the IMGUI applications managed to conserve so much energy despite having idle optimisations disabled. This means that the power hungry graphics hardware is constantly active redrawing the same frame. I assume some optimisation on the OS or kernel level must have stepped in.

Tenspiler: A Verified Lifting-Based Compiler for Tensor Operations
Jie Qiu, Colin Cai, Sahil Bhatia, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung
https://arxiv.org/abs/2404.18249

Tenspiler: A Verified Lifting-Based Compiler for Tensor Operations
Tensor processing infrastructures such as deep learning frameworks and specialized hardware accelerators have revolutionized how computationally intensive code from domains such as deep learning and image processing is executed and optimized. These infrastructures provide powerful and expressive abstractions while ensuring high performance. However, to utilize them, code must be written specifically using the APIs / ISAs of such software frameworks or hardware accelerators. Importantly, given t…

Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-Free Networks Under Hardware Impairments
Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Lajos Hanzo
https://arxiv.org/abs/2405.01150

Performance Analysis of Reconfigurable Holographic Surfaces in the Near-Field Scenario of Cell-Free Networks Under Hardware Impairments
We propose a hybrid beamforming architecture for near-field reconfigurable holographic surfaces (RHS) harnessed in cell-free networks. Specifically, the holographic beamformer of each base station (BS) is designed for maximizing the channel gain based on the local channel state information (CSI). By contrast, the digital beamformer at the central processing unit is designed based on the minimum mean squared error criterion. Furthermore, the near-field spectral efficiency of the RHS in cell-free…

Google opens its second hardware office in New Taipei City, as VP of Engineering Elmer Peng says "Taiwan is Google's largest hardware R&D hub outside of the US" (Nikkei Asia)
https://t.co/5E135MYuqJ

Google to expand hardware R&D team in Taiwan
Search engine giant 'serious' about beefing up equipment and software ecosystem

MNT Reform review: brutalist hardware, familiar software – OSnews
https://www.osnews.com/story/138608/mnt-reform-review-brutalist-hardware-familiar-software/

This https://arxiv.org/abs/2402.06168 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csET_…

Reconfigurable Stochastic Neurons Based on Strain Engineered Low Barrier Nanomagnets
Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states fluctuate randomly between two levels +1 and -1, with the probability of being in either level determined by an external bias. "Analog" stochastic neurons (ASNs), in contrast, can assume any state between the two levels randomly (hence "analog") and can perform analog signal processing. They may be leveraged for such …

“Fredericksen’s Hardware and Paint in Cow Hollow is now offering a one-on-one shopping experience. The idea is to separate actual customers from those looking to steal from the store.
During certain hours, Fredericksen’s is now blocking off part of the store’s entrance and having people wait for an employee to help them instead of allowing people to just roam the store. The store’s longtime manager says it’s a move that was worth trying for the sake of the business, their employees an…

San Francisco store gets creative to deter shoplifting
SAN FRANCISCO (KRON) – A longtime San Francisco business is trying something new to curb what it says has been “rampant shoplifting.”  Fredericksen’s Hardware and Paint in Cow Hollow is now offering a one-on-one shopping experience. The idea is to separate actual customers from those looking to steal from the store.  During certain hours, Fredericksen’s […]

NetHSM – A hardware security module with open hardware and open source code: «Unlike proprietary HSM products, NetHSM is the first HSM available as open source, which enables independent security audits, easy customization and avoids vendor lock-in. Only open source allows to verify the absence of back doors.»
https://www.nitr…

NetHSM - The Trustworthy, Open Hardware Security Module That Just Works

Deutsche Hardware-Marke Roccat verschwindet
Das Mutterunternehmen Turtle Beach schafft die Marke Roccat ab. Das beliebte Gaming-Zubehör soll weiter angeboten werden, samt neuer Software.
https://www.

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering
Ren\'e Walendy, Markus Weber, Jingjie Li, Steffen Becker, Carina Wiesen, Malte Elson, Younghyun Kim, Kassem Fawaz, Nikol Rummel, Christof Paar
https://arxiv.org/abs/2402.15452…

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering
Trust in digital systems depends on secure hardware, often assured through Hardware Reverse Engineering (HRE). This work develops methods for investigating human problem-solving processes in HRE, an underexplored yet critical aspect. Since reverse engineers rely heavily on visual information, eye tracking holds promise for studying their cognitive processes. To gain further insights, we additionally employ verbal thought protocols during and immediately after HRE tasks: Concurrent and Retrospec…

A large contingent of webdevs seem to think that fast means “best-case fast.”
“Our web sites are fast on expensive hardware and from reliable fiber networks.”
Worst-case fast is a much more meaningful, impressive, and inclusive claim to make! Fast on low-end hardware. Fast on slow networks.
Fast on the World Wide Web—not just from a WeWork in Silicon Valley.

This https://arxiv.org/abs/2301.09831 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Conditional not displacement: fast multi-oscillator control with a single qubit
Bosonic encoding is an approach for quantum information processing, promising lower hardware overhead by encoding in the many levels of a harmonic oscillator mode. Scaling to multiple modes requires weak interaction for independent control, yet strong interaction for fast control. Applying fast and efficient universal control on multiple modes remains an open problem. Surprisingly, we find that displacements conditioned on the state of a single qubit ancilla coupled to multiple harmonic oscilla…

A fast cosine transformation accelerated method for predicting effective thermal conductivity
Changqing Ye, Shubin Fu, Eric T. Chung
https://arxiv.org/abs/2404.02433

A fast cosine transformation accelerated method for predicting effective thermal conductivity
Predicting effective thermal conductivity by solving a Partial Differential Equation (PDE) defined on a high-resolution Representative Volume Element (RVE) is a computationally intensive task. In this paper, we tackle the task by proposing an efficient and implementation-friendly computational method that can fully leverage the computing power offered by hardware accelerators, namely, graphical processing units (GPUs). We first employ the Two-Point Flux-Approximation scheme to discretize the PD…

Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks
Elena R. Henderson, Jessie M. Henderson, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton
https://arxiv.org/abs/2404.02440

Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks
Physically unclonable functions (PUFs) are designed to act as device 'fingerprints.' Given an input challenge, the PUF circuit should produce an unpredictable response for use in situations such as root-of-trust applications and other hardware-level cybersecurity applications. PUFs are typically subcircuits present within integrated circuits (ICs), and while conventional IC PUFs are well-understood, several implementations have proven vulnerable to malicious exploits, including those perpetrate…

🖥️ Tiny Undervalued Hardware Companions
#computers <…

Tiny Undervalued Hardware Companions
After playing/working with computers for more then 25 years I started to appreciate small but handy valuable stuff – like adapters or handlers or … yeah – all kind of stuff. With …

Open-Source Thermostatic Radiator Valve (OpenTRV) - OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating

Open-Source Thermostatic Radiator Valve (OpenTRV)
OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating #cutCarbon

Event-Driven Learning for Spiking Neural Networks
Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li
https://arxiv.org/abs/2403.00270

Event-Driven Learning for Spiking Neural Networks
Brain-inspired spiking neural networks (SNNs) have gained prominence in the field of neuromorphic computing owing to their low energy consumption during feedforward inference on neuromorphic hardware. However, it remains an open challenge how to effectively benefit from the sparse event-driven property of SNNs to minimize backpropagation learning costs. In this paper, we conduct a comprehensive examination of the existing event-driven learning algorithms, reveal their limitations, and propose n…

This https://arxiv.org/abs/2403.14811 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Analysis of optical loss thresholds in the fusion-based quantum computing architecture
Bell state measurements (BSM) play a significant role in quantum information and quantum computing, in particular, in fusion-based quantum computing (FBQC). The FBQC model is a framework for universal quantum computing provided that we are able to perform entangling measurements, called fusions, on qubits within small entangled resource states. Here we analyse the usage of different linear-optical BSM circuits as fusions in the FBQC schemes and numerically evaluate hardware requirements for fau…

Stühlerücken bei Microsofts Windows- und Surface-Teams
Microsofts Hardware- und Windows-Leute sind wieder in einem Team vereint. Zudem wird Microsoft AI integriert.
https://www.

[2024-05-03 Fri (UTC), 4 new articles found for cs.AR Hardware Architecture]

This https://arxiv.org/abs/2402.06168 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csET_…

Reconfigurable Stochastic Neurons Based on Strain Engineered Low Barrier Nanomagnets
Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states fluctuate randomly between two levels +1 and -1, with the probability of being in either level determined by an external bias. "Analog" stochastic neurons (ASNs), in contrast, can assume any state between the two levels randomly (hence "analog") and can perform analog signal processing. They may be leveraged for such …

Microsoft partners with IBM to release the MS-DOS 4.0 source code under the MIT license on GitHub (Andy Edser/PC Gamer)
https://www.pcgamer.com/hardware/microsoft-has-released-the-source-code-for-ms-d…

Microsoft has released the source code for MS-DOS 4.0 and it's giving me all the nostalgia feels
Fond memories of beige machines.

This https://arxiv.org/abs/2404.19217 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

FOTS: A Fast Optical Tactile Simulator for Sim2Real Learning of Tactile-motor Robot Manipulation Skills
Simulation is a widely used tool in robotics to reduce hardware consumption and gather large-scale data. Despite previous efforts to simulate optical tactile sensors, there remain challenges in efficiently synthesizing images and replicating marker motion under different contact loads. In this work, we propose a fast optical tactile simulator, named FOTS, for simulating optical tactile sensors. We utilize multi-layer perceptron mapping and planar shadow generation to simulate the optical respon…

Reverse Engineering the Quansheng Hardware
https://poliverso.org/display/0477a01e-105a6ce2-573cc165df0f1ec9
Reverse Engineering the Quansheng Hardware In the world of cheap amateur radio transceivers, the Quansheng UV-K5 can’t be beaten for hackabil…

[2024-04-03 Wed (UTC), 2 new articles found for cs.AR Hardware Architecture]

Wie VR-Headsets in unser Computer-Leben passen | TNBT-Podcast
Wir sind umgeben von Computern und Bildschirmen. Bleibt noch Platz für weitere Hardware, die man vor die Augen schnallen muss?
https://www.

Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems
Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Ibrahim Hemadeh, Yingming Tsai, Arman Shojaeifard, Lajos Hanzo
https://arxiv.org/abs/2405.01136

Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems
An intelligent omni-surface (IOS) assisted holographic multiple-input and multiple-output architecture is conceived for $360^\circ$ full-space coverage at a low energy consumption. The theoretical ergodic rate lower bound of our non-orthogonal multiple access (NOMA) scheme is derived based on the moment matching approximation method, while considering the signal distortion at transceivers imposed by hardware impairments (HWIs). Furthermore, the asymptotically ergodic rate lower bound is derived…

Swarm Learning: A Survey of Concepts, Applications, and Trends
Elham Shammar, Xiaohui Cui, Mohammed A. A. Al-qaness
https://arxiv.org/abs/2405.00556 https:…

Swarm Learning: A Survey of Concepts, Applications, and Trends
Deep learning models have raised privacy and security concerns due to their reliance on large datasets on central servers. As the number of Internet of Things (IoT) devices increases, artificial intelligence (AI) will be crucial for resource management, data processing, and knowledge acquisition. To address those issues, federated learning (FL) has introduced a novel approach to building a versatile, large-scale machine learning framework that operates in a decentralized and hardware-agnostic m…

[2024-04-03 Wed (UTC), 2 new articles found for cs.AR Hardware Architecture]

Google says Gemini Nano is coming to Pixel 8 with the next Pixel Feature Drop, after previously saying the device won't get Nano due to "hardware limitations" (Abner Li/9to5Google)
https://9to5google.com/2024/03/28/pixel-8-gemini-nano-feature-drop…

Google bringing Gemini Nano to Pixel 8 with next Feature Drop 
After "hardware limitations" were cited as the reason that the Pixel 8 isn't getting Gemini Nano, Google announced today...

This https://arxiv.org/abs/2312.16503 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csET_…

Attention-Enhanced Reservoir Computing
Photonic reservoir computing has been successfully utilized in time-series prediction as the need for hardware implementations has increased. Prediction of chaotic time series remains a significant challenge, an area where the conventional reservoir computing framework encounters limitations of prediction accuracy. We introduce an attention mechanism to the reservoir computing model in the output stage. This attention layer is designed to prioritize distinct features and temporal sequences, the…

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
Kumiko Nomura, Yoshifumi Nishi
https://arxiv.org/abs/2404.17241

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
We propose hardware-oriented models of intrinsic plasticity (IP) and synaptic plasticity (SP) for spiking randomly connected recursive neural network (RNN). Although the potential of RNNs for temporal data processing has been demonstrated, randomness of the network architecture often causes performance degradation. Self-organization mechanism using IP and SP can mitigate the degradation, therefore, we compile these functions in a spiking neuronal model. To implement the function of IP, a variab…

Open-Source Thermostatic Radiator Valve (OpenTRV) - OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating

Open-Source Thermostatic Radiator Valve (OpenTRV)
OpenTRV retrofit open-source reference mechanical/hardware/software design for zoned heating to save carbon and money. #OpenTRV #TRV #heating #cutCarbon

Swarm Learning: A Survey of Concepts, Applications, and Trends
Elham Shammar, Xiaohui Cui, Mohammed A. A. Al-qaness
https://arxiv.org/abs/2405.00556 https:…

Swarm Learning: A Survey of Concepts, Applications, and Trends
Deep learning models have raised privacy and security concerns due to their reliance on large datasets on central servers. As the number of Internet of Things (IoT) devices increases, artificial intelligence (AI) will be crucial for resource management, data processing, and knowledge acquisition. To address those issues, federated learning (FL) has introduced a novel approach to building a versatile, large-scale machine learning framework that operates in a decentralized and hardware-agnostic m…

[2024-04-04 Thu (UTC), 3 new articles found for cs.AR Hardware Architecture]

This https://arxiv.org/abs/2301.13241 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

SpinQ: Compilation strategies for scalable spin-qubit architectures
Despite NISQ devices being severely constrained, hardware- and algorithm-aware quantum circuit mapping techniques have been developed to enable successful algorithm executions. Not so much attention has been paid to mapping and compilation implementations for spin-qubit quantum processors due to the scarce availability of experimental devices and their small sizes. However, based on their high scalability potential and their rapid progress it is timely to start exploring solutions on such devic…

Sources: Dell, HP, and other US tech firms have asked their Taiwanese suppliers to boost production of AI-related hardware in Mexico to reduce reliance on China (Wall Street Journal)
https://www.wsj.com/tech/u-s-tech-giants-turn-to-m…

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya
https://arxiv.org/abs/2405.01021

QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management
Quantum cloud computing is an emerging computing paradigm that allows seamless access to quantum hardware as cloud-based services. However, effective use of quantum resources is challenging and necessitates robust simulation frameworks for effective resource management design and evaluation. To address this need, we proposed QSimPy, a novel discrete-event simulation framework designed with the main focus of facilitating learning-centric approaches for quantum resource management problems in clo…

HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis
Andy He, Darren Key, Mason Bulling, Andrew Chang, Skyler Shapiro, Everett Lee
https://arxiv.org/abs/2405.00738

HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis
Graphics Processing Units (GPUs) have become the leading hardware accelerator for deep learning applications and are used widely in training and inference of transformers; transformers have achieved state-of-the-art performance in many areas of machine learning and are especially used in most modern Large Language Models (LLMs). However, GPUs require large amounts of energy, which poses environmental concerns, demands high operational costs, and causes GPUs to be unsuitable for edge computing. …

Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT
Paola Vitolo, George Psaltakis, Michael Tomlinson, Gian Domenico Licciardo, Andreas G. Andreou
https://arxiv.org/abs/2405.01419

Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT
This paper investigates the use of Large Language Models (LLMs) for automating the generation of hardware description code, aiming to explore their potential in supporting and enhancing the development of efficient neuromorphic computing architectures. Building on our prior work, we employ OpenAI's ChatGPT4 and natural language prompts to synthesize a RTL Verilog module of a programmable recurrent spiking neural network, while also generating test benches to assess the system's correctness. The…

AMD projects its MI300 lineup to generate ~$4B in revenue in 2024, up $500M from an earlier forecast, but short of expectations; AMD drops 6% after hours (Ian King/Bloomberg)
https://www.bloomberg.com/news/articles/202…

AMD Gives Tepid Forecast on Weak Demand for Video Gaming Chips
Advanced Micro Devices Inc., the second-biggest maker of computer processors, gave a lukewarm revenue forecast for the current period, weighed down by lackluster demand for chips used in video game hardware.

This https://arxiv.org/abs/2404.16990 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

Record Acceleration of the Two-Dimensional Ising Model Using High-Performance Wafer Scale Engine
The versatility and wide-ranging applicability of the Ising model, originally introduced to study phase transitions in magnetic materials, have made it a cornerstone in statistical physics and a valuable tool for evaluating the performance of emerging computer hardware. Here, we present a novel implementation of the two-dimensional Ising model on a Cerebras Wafer-Scale Engine (WSE), a revolutionary processor that is opening new frontiers in computing. In our deployment of the checkerboard algor…

Intel shares Microsoft's "AI PC" requirements, such as including a Copilot key, and expands its AI PC acceleration program to help devs and hardware vendors (Paul Alcorn/Tom's Hardware)
http…

Intel shares new AI PC definition, launches AI PC Acceleration Programs and Core Ultra Meteor Lake NUC developer kits at AI conference
Meteor Lake dev kits use Asus NUCs optimized for AI development work.

[2024-03-04 Mon (UTC), 2 new articles found for cs.AR Hardware Architecture]

Microsoft Q3: Windows OEM revenue up 11% YoY, devices revenue down 17% YoY, overall gaming revenue up 51% YoY, and Xbox content and services revenue up 62% YoY (Tom Warren/The Verge)
https://www.theverge.com/2024/4/25/2413998

Microsoft Q3 2024: Surface and Xbox hardware take a big hit
Microsoft’s cloud revenues make up for a big hit in revenue for devices and Xbox hardware. Cloud and Office are once again the stars for Microsoft earnings.

A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
Shadi Matinizadeh, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. L. Varshika, Arghavan Mohammadhassani, Abhishek Mishra, Nagarajan Kandasamy, James Shackleford, Eric Gallo, Anup Das
https://arxiv.org/abs/24…

A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
We introduce QUANTISENC, a fully configurable open-source software-defined digital quantized spiking neural core architecture to advance research in neuromorphic computing. QUANTISENC is designed hierarchically using a bottom-up methodology with multiple neurons in each layer and multiple layers in each core. The number of layers and neurons per layer can be configured via software in a top-down methodology to generate the hardware for a target spiking neural network (SNN) model. QUANTISENC use…

Microsoft Q3: Windows OEM revenue up 11% YoY, devices revenue down 17% YoY, overall gaming revenue up 51% YoY, and Xbox content and services revenue up 62% YoY (Tom Warren/The Verge)
https://www.theverge.com/2024/4/25/2413998

Microsoft Q3 2024: Surface and Xbox hardware take a big hit
Microsoft’s cloud revenues make up for a big hit in revenue for devices and Xbox hardware. Cloud and Office are once again the stars for Microsoft earnings.

Optimizing Offload Performance in Heterogeneous MPSoCs
Luca Colagrande, Luca Benini
https://arxiv.org/abs/2404.01908 https://arxiv.or…

Optimizing Offload Performance in Heterogeneous MPSoCs
Heterogeneous multi-core architectures combine a few "host" cores, optimized for single-thread performance, with many small energy-efficient "accelerator" cores for data-parallel processing, on a single chip. Offloading a computation to the many-core acceleration fabric introduces a communication and synchronization cost which reduces the speedup attainable on the accelerator, particularly for small and fine-grained parallel tasks. We demonstrate that by co-designing the hardware and offload ro…

Optimizing Offload Performance in Heterogeneous MPSoCs
Luca Colagrande, Luca Benini
https://arxiv.org/abs/2404.01908 https://arxiv.or…

Optimizing Offload Performance in Heterogeneous MPSoCs
Heterogeneous multi-core architectures combine a few "host" cores, optimized for single-thread performance, with many small energy-efficient "accelerator" cores for data-parallel processing, on a single chip. Offloading a computation to the many-core acceleration fabric introduces a communication and synchronization cost which reduces the speedup attainable on the accelerator, particularly for small and fine-grained parallel tasks. We demonstrate that by co-designing the hardware and offload ro…

The UK bans default guessable usernames and passwords for some IoT devices, to help avoid a situation like the 2016 Mirai botnet, the first country to do so (Alexander Martin/The Record)
https://therecord.media/united-kingdom-bans-defalt-passwords-iot-devi…

UK becomes first country to ban default bad passwords on IoT devices
Britain now has IoT hardware standards that ban weak or easily guessable default passwords such as “admin” or “12345." Manufacturers are also required to publish contact details so users can report bugs.

The European Parliament adopts right-to-repair rules clarifying manufacturer obligations to provide repair services, consumer access to spare parts, and more (Jacob Ridley/PC Gamer)
https://www.

New rules to massively strengthen EU's right to repair successfully pass through European Parliament with 584 votes for, just 3 against
The new rules will give customers new ways to claim support for a product throughout its lifetime, and also aid independent repair shops.

Nominal, which offers tools for data analysis, testing, and more to startups building advanced hardware like drones, emerges from stealth with $27.5M in funding (Lizette Chapman/Bloomberg)
https://www.bloomberg.com/news/articles/20

Lux, General Catalyst Back Startup Nominal to Aid Defense Tech Boom
Lux Capital, General Catalyst and Founders Fund have been backing a startup that wants to accelerate the creation of hardware used in space, energy and other sectors critical to national security.

This https://arxiv.org/abs/2305.18334 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
Conventional multiply-accumulate (MAC) operations have long dominated computation time for deep neural networks (DNNs), espcially convolutional neural networks (CNNs). Recently, product quantization (PQ) has been applied to these workloads, replacing MACs with memory lookups to pre-computed dot products. To better understand the efficiency tradeoffs of product-quantized DNNs (PQ-DNNs), we create a custom hardware accelerator to parallelize and accelerate nearest-neighbor search and dot-product …

This https://arxiv.org/abs/2305.18334 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration
Conventional multiply-accumulate (MAC) operations have long dominated computation time for deep neural networks (DNNs), espcially convolutional neural networks (CNNs). Recently, product quantization (PQ) has been applied to these workloads, replacing MACs with memory lookups to pre-computed dot products. To better understand the efficiency tradeoffs of product-quantized DNNs (PQ-DNNs), we create a custom hardware accelerator to parallelize and accelerate nearest-neighbor search and dot-product …

Nominal, which offers tools for data analysis, testing, and more to startups building advanced hardware like drones, emerges from stealth with $27.5M in funding (Lizette Chapman/Bloomberg)
https://www.bloomberg.com/news/articles/20

Lux, General Catalyst Back Startup Nominal to Aid Defense Tech Boom
Lux Capital, General Catalyst and Founders Fund have been backing a startup that wants to accelerate the creation of hardware used in space, energy and other sectors critical to national security.