Tootfinder

Acer negundo hodiaŭ
vekas post vintro
pretas por la somero
la viraj floroj
#hajko #esperanto

Meta agrees to acquire power from Constellation's operating Illinois nuclear plant, in a 20-year deal starting in mid-2027 when a state subsidy expires (Bloomberg)
https://www.bloomberg.com/news/articles/20

Predicting Empirical AI Research Outcomes with Language Models
Jiaxin Wen, Chenglei Si, Yueh-han Chen, He He, Shi Feng
https://arxiv.org/abs/2506.00794 htt…

Predicting Empirical AI Research Outcomes with Language Models
Many promising-looking ideas in AI research fail to deliver, but their validation takes substantial human labor and compute. Predicting an idea's chance of success is thus crucial for accelerating empirical AI research, a skill that even expert researchers can only acquire through substantial experience. We build the first benchmark for this task and compare LMs with human experts. Concretely, given two research ideas (e.g., two jailbreaking methods), we aim to predict which will perform better…

fftvis: A Non-Uniform Fast Fourier Transform Based Interferometric Visibility Simulator
Tyler A. Cox, Steven G. Murray, Aaron R. Parsons, Joshua S. Dillon, Kartik Mandar, Zachary E. Martinot, Robert Pascua, Piyanat Kittiwisit, James E. Aguirre
#toXiv_bot_toot

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
Karl El Hajal, Enno Hermann, Sevada Hovsepyan, Mathew Magimai. -Doss
https://arxiv.org/abs/2506.01618 …

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
Automatic speech recognition (ASR) systems struggle with dysarthric speech due to high inter-speaker variability and slow speaking rates. To address this, we explore dysarthric-to-healthy speech conversion for improved ASR performance. Our approach extends the Rhythm and Voice (RnV) conversion framework by introducing a syllable-based rhythm modeling method suited for dysarthric speech. We assess its impact on ASR by training LF-MMI models and fine-tuning Whisper on converted speech. Experiment…

NYT and Amazon agree to a content licensing deal for use in Amazon's AI platforms and to bring the NYT's "content to a variety of Amazon customer experiences" (New York Times)
https://www.nytimes.com/2025/05/29/business/m…

The Times and Amazon Announce an A.I. Licensing Deal
In 2023, The Times sued OpenAI and Microsoft for copyright infringement. Now its editorial content will appear across Amazon platforms.

#DJT expected to quickly run to pals in #SCOTUS to overturn 3 judge panel's ban in US Court of International Trade to resume his chaotic #WhiteHouse wank off of tariff tirades that many experts agree exceeds executive branch authorit…

Court blocks Trump from imposing sweeping tariffs
Trump imposed tariffs on most of the countries in the world in an effort to reverse America’s massive and longstanding trade deficits. He earlier plastered levies on imports from Canada, Chin…

Series C, Episode 10 - Ultraworld
DAYNA: And if we agree?
ULTRA 1: We shall reconsider the fate of your friends. And, of course, yourselves.
TARRANT: Is that the best you can do? No deal.
https://blake.torpidity.net/m/310/506 B7B5

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Esra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina, Han Li, Tyler J. Loftus, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Karandeep Singh, Ruogu Fang, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
https://

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system generating treatment recommendations based on patient states can be a substantial asset in perioperative decision-making, as in cases of intraoperative hypotension, for which suboptimal management is associated with acute kidney injury (AKI), a common and morbid postoperative complication. We developed a Reinforcement Learning (RL) model to recommend opti…

Series C, Episode 10 - Ultraworld
DAYNA: And if we agree?
ULTRA 1: We shall reconsider the fate of your friends. And, of course, yourselves.
TARRANT: Is that the best you can do? No deal.
https://blake.torpidity.net/m/310/506 B7B5

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.