Tootfinder

Eagles place Nolan Smith on injured reserve, Philadelphia pass rusher hampered by triceps

https://www.cbssports.com/nfl/news/eagles-place-nol…

MacBook-Trackpad: Genau genug, um eine Waage zu sein
Apples Solid-State-Cursorfeld erfasst Druck sehr genau. Das reicht sogar aus, um Gramm-genau festzustellen, was man darauf legt.
https://www.

Neutrinos erstmals mit tragbarem Detektor in einem Atomkraftwerk gemessen
Physiker haben einen handlichen Detektor entwickelt, der Neutrinos aus Kernreaktoren nachweisen kann. Bisher waren dafür riesige Anlagen nötig.

Extending FKG.in: Towards a Food Claim Traceability Network
Saransh Kumar Gupta, Rizwan Gulzar Mir, Lipika Dey, Partha Pratim Das, Anirban Sen, Ramesh Jain
https://arxiv.org/abs/2508.16117

Extending FKG.in: Towards a Food Claim Traceability Network
The global food landscape is rife with scientific, cultural, and commercial claims about what foods are, what they do, what they should not do, or should not do. These range from rigorously studied health benefits (probiotics improve gut health) and misrepresentations (soaked almonds make one smarter) to vague promises (superfoods boost immunity) and culturally rooted beliefs (cold foods cause coughs). Despite their widespread influence, the infrastructure for tracing, verifying, and contextual…

A look at Texas Instruments' new 300mm wafer fab in Sherman, Texas, a part of its $60B US investment megaproject where some chips for iPhones will be made (Katie Tarasov/CNBC)
https://www.cnbc.com/2025/08/22/apple-will-make-chips-at-t…

Inside Texas Instruments' $60 billion U.S. megaproject, where Apple will make iPhone chips
Apple committed to making iPhone chips at Texas Instruments' new U.S. factories. CNBC got an exclusive first look inside TI's $60 billion megaproject.

Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads
Mert Hidayetoglu, Aurick Qiao, Michael Wyatt, Jeff Rasley, Yuxiong He, Samyam Rajbhandari
https://arxiv.org/abs/2509.16495

Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads
Efficient parallelism is necessary for achieving low-latency, high-throughput inference with large language models (LLMs). Tensor parallelism (TP) is the state-of-the-art method for reducing LLM response latency, however GPU communications reduces combined token throughput. On the other hand, data parallelism (DP) obtains a higher throughput yet is slow in response latency. Best of both worlds does not exist, and it is not possible to combine TP and DP because of the KV cache variance across th…

DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD
Rongwei Lu, Jingyan Jiang, Chunyang Li, Haotian Dong, Xingguang Wei, Delin Cai, Zhi Wang
https://arxiv.org/abs/2507.17346

DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD
Distributed machine learning in high end-to-end latency and low, varying bandwidth network environments undergoes severe throughput degradation. Due to its low communication requirements, distributed SGD (D-SGD) remains the mainstream optimizer in such challenging networks, but it still suffers from significant throughput reduction. To mitigate these limitations, existing approaches typically employ gradient compression and delayed aggregation to alleviate low bandwidth and high latency, respec…

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Charlotte Jennings (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Andrew Broad (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Lucy Godson (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Emily…

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Multimodal machine learning integrating histopathology and molecular data shows promise for cancer prognostication. We systematically reviewed studies combining whole slide images (WSIs) and high-throughput omics to predict overall survival. Searches of EMBASE, PubMed, and Cochrane CENTRAL (12/08/2024), plus citation screening, identified eligible studies. Data extraction used CHARMS; bias was assessed with PROBAST+AI; synthesis followed SWiM and PRISMA 2020. Protocol: PROSPERO (CRD42024594745)…

dolphins: Dolphin social network (1994-2001)
An undirected social network of frequent associations observed among 62 dolphins (Tursiops) in a community living off Doubtful Sound, New Zealand, from 1994-2001.
This network has 62 nodes and 159 edges.
Tags: Social, Animal, Unweighted
https://networks.skewed.de/net/dolphins…

Australia-based Morse Micro, which develops ultra-low power Wi-Fi HaLow chips, raised a ~$38M Series C, bringing its total raised to ~$125M (ComputerWeekly.com)
https://www.computerweekly.com/news/366631616/Morse-Micro-secures-59m-fun…

Morse Micro secures $59m funding to lead the next era of IoT
Fresh capital to accelerate Morse Micro’s expansion into international markets, scale production of its Wi-Fi HaLow chips and support the ecosystem shift toward IoT 2.0, characterised by high-throughput, long-range, scalable connectivity