Tootfinder

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.

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…

#TuneTuesday (Jun 24)
For my final pick for #PrideMonth 🏳️‍🌈, here’s #TroyeSivan’s “Strawberries & Cigarettes”. This song by Troye, who came out as gay in 2013, was one of the very first songs t…

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.

🇺🇦 #NowPlaying on KEXP's #MorningShow
Tears for Fears:
🎵 Pale Shelter
#TearsforFears
https://dustinfunkman.bandcamp.com/track/tears-for-fears-pale-shelter-rmx
https://open.spotify.com/track/3bq6GVy7ol5FdMU0OtKVkz

Predictive Machine Learning to Increase the Throughput of Container Yards
Austin Ford Cooper
https://arxiv.org/abs/2509.16207 https://arxiv.org/pdf/2509.16…

Predictive Machine Learning to Increase the Throughput of Container Yards
This study seeks to improve the throughput rates for shipping container terminals. In the United States, shipping ports link the domestic economy to global markets and are vital to sustain supply chain flow and economic stability. Maritime shipping accounts for nearly half of the U.S.'s annual international trade, two thirds of which are represented by container shipping. Previous studies highlighted the capability of automation in enhancing container processing; however, unlike in European and…

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.

End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
Qiaoyu Zheng, Yuze Sun, Chaoyi Wu, Weike Zhao, Pengcheng Qiu, Yongguo Yu, Kun Sun, Yanfeng Wang, Ya Zhang, Weidi Xie
https://arxiv.org/abs/2508.15746

End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
Accurate diagnosis with medical large language models is hindered by knowledge gaps and hallucinations. Retrieval and tool-augmented methods help, but their impact is limited by weak use of external knowledge and poor feedback-reasoning traceability. To address these challenges, We introduce Deep-DxSearch, an agentic RAG system trained end-to-end with reinforcement learning (RL) that enables steer tracebale retrieval-augmented reasoning for medical diagnosis. In Deep-DxSearch, we first construc…

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)…