Tootfinder

They tried to deny it like his Epstein allegations, but Prince Andrew is absolutely a Blackwater kamikaze drone. The angle of his inferior nasal concha is a telltale sign of concealed DDL hardware, and the curve of his zygomatic is practically synonymous with folded steering flaps.

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- MVDRAM: Enabling GeMV Execution in Unmodified DRAM for Low-Bit LLM Acceleration
Kubo, Tokuda, Nagatani, Usui, Qu, Cao, Takamaeda-Yamazaki

CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
Ckristian Duran, Nanako Kimura, Zolboo Byambadorj, Tetsuya Iizuka
https://arxiv.org/abs/2509.17355

CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
The increasing complexity and energy demands of large-scale neural networks, such as Deep Neural Networks (DNNs) and Large Language Models (LLMs), challenge their practical deployment in edge applications due to high power consumption, area requirements, and privacy concerns. Spiking Neural Networks (SNNs), particularly in analog implementations, offer a promising low-power alternative but suffer from noise sensitivity and connectivity limitations. This work presents a novel CMOS-implemented fi…

from my link log —
Memory Integrity Enforcement: A complete vision for memory safety in Apple devices.
https://security.apple.com/blog/memory-integrity-enforcement/
saved 2025-09-10

Blog - Memory Integrity Enforcement: A complete vision for memory safety in Apple devices - Apple Security Research
Memory Integrity Enforcement (MIE) is the culmination of an unprecedented design and engineering effort spanning half a decade that combines the unique strengths of Apple silicon hardware with our advanced operating system security to provide industry-first, always-on memory safety protection across our devices — without compromising our best-in-class device performance. We believe Memory Integrity Enforcement represents the most significant upgrade to memory safety in the history of consumer…

Qi2.2: Schnelleres Laden dank iOS 26 mit passender Hardware
Erste Geräte mit Qi2.2 drehen von 15 auf 25 Watt induktive Stromversorgung auf. Beim iPhone 16 geht es mit iOS 26 los.
https://www.

Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware
Germ\'an D\'iaz Agreda, Carlos Andres Duran Paredes, Mateo Buenaventura Samboni, Jhon Alejandro Andrade, Sebasti\'an Andr\'es Cajas Ordo\~nez
https://arxiv.org/abs/2508.09050…

Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware
Implementing quantum game theory on real hardware is challenging due to noise, decoherence, and limited qubit connectivity, yet such demonstrations are essential to validate theoretical predictions. We present one of the first full experimental realizations of the Battle of the Sexes game under the Eisert-Wilkens-Lewenstein (EWL) framework on IBM Quantum's ibm sherbrooke superconducting processor. Four quantum strategies (I, H, $R(Ï€/4)$, $R(Ï€)$) were evaluated across 31 entanglement values $Î…

The AI boom is driving memory and storage shortages that may last a decade; OpenAI's Stargate has deals for 900K DRAM wafers per month, or ~40% of global output (Luke James/Tom's Hardware)
https://www.tomshardware.com/pc-components

AI data centers are swallowing the world's memory and storage supply, setting the stage for a pricing apocalypse that could last a decade
Once-cheap SSDs, DRAM, and HDD prices are climbing fast as AI demand and constrained supply converge to create the tightest market in years.

Really silly dream
I had a really silly #dream recently. I dreamt that my CFL broke. Or more specifically, it kept trying to turn out, successive parts of it were lighting up, then it all went off and tried again. And it looked like it had a bunch of cuts across it, and around these cuts little thunder sparks started appearing, like some kind of STALKER-like anomaly.
I finally flipped the switch, but the anomaly remained, and I wanted to get rid of it in case the sparks could jump onto my hardware and damage something. So I threw a metal bowl towards it, supposing the thunder would jump onto it. While it was flying near the anomaly, it slowed down and started turning back like a boomerang. On top of that, pieces of cat food (don't ask me why I threw a full bowl) were getting out of it and staying in the air levitating. When the bowl reached the floor and started turning again, Mr Ek came close to it and started levitating himself; he was sitting a few centimeters above the floor.
In the middle of all this, I've figured out I should record it. I took a bunch of photos with my phone, before I managed to switch to recording video.
Once I've recorded the fascinating flying bowls and levitating cat food, I needed to go back to discharging the thing. I threw a second metal bowl, and that one started levitating as well. I've figured out that's stupid, and I've found some big ass hammer with a metal end and a wooden handle. I held the end near the lamp to charge it, then tried to find something to discharge it to. I've tried some small stuff like the door handle, but obviously that wasn't sufficient. Finally, I've figured out to use the electricity box, since it is grounded. I held the hammer to it, watching sparks light the semi-darkness; I've recorded that as well.
And that's how much of it I remember.

Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving
Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang
https://arxiv.org/abs/2510.05245

Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving
As Large Language Models (LLMs) continue to evolve, Mixture of Experts (MoE) architecture has emerged as a prevailing design for achieving state-of-the-art performance across a wide range of tasks. MoE models use sparse gating to activate only a handful of expert sub-networks per input, achieving billion-parameter capacity with inference costs akin to much smaller models. However, such models often pose challenges for hardware deployment due to the massive data volume introduced by the MoE laye…

OpenCXD: An Open Real-Device-Guided Hybrid Evaluation Framework for CXL-SSDs
Hyunsun Chung, Junhyeok Park, Taewan Noh, Seonghoon Ahn, Kihwan Kim, Ming Zhao, Youngjae Kim
https://arxiv.org/abs/2508.11477

OpenCXD: An Open Real-Device-Guided Hybrid Evaluation Framework for CXL-SSDs
The advent of Compute Express Link (CXL) enables SSDs to participate in the memory hierarchy as large-capacity, byte-addressable memory devices. These CXL-enabled SSDs (CXL-SSDs) offer a promising new tier between DRAM and traditional storage, combining NAND flash density with memory-like access semantics. However, evaluating the performance of CXL-SSDs remains difficult due to the lack of hardware that natively supports the CXL.mem protocol on SSDs. As a result, most prior work relies on hybri…