Tootfinder

E2B, formerly FoundryLabs, which is developing an open-source, sandboxed cloud infrastructure for AI agents, raised a $21M Series A led by Insight Partners (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/07/28/e2

E2B shares its vision of sandboxed, cloud environments for every AI agent after raising $21M in funding - SiliconANGLE
E2B shares its vision of sandboxed, cloud environments for every AI agent after raising $21M in funding - SiliconANGLE

M’enfin! Non, ce n’est pas l’IA qui ment et manipule… Mais apparemment ça joue.
https://www.rts.ch/info/sciences-tech/2025/article/l-ia-devient-menteuse-les-scientifiques-s-inquietent-des-no…

SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM
Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, Yuanchun Zhou
https://arxiv.org/abs/2508.20514

SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM
Topic discovery in scientific literature provides valuable insights for researchers to identify emerging trends and explore new avenues for investigation, facilitating easier scientific information retrieval. Many machine learning methods, particularly deep embedding techniques, have been applied to discover research topics. However, most existing topic discovery methods rely on word embedding to capture the semantics and lack a comprehensive understanding of scientific publications, struggling…

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision
Ao Cheng, Lei Zhang, Guowei He
https://arxiv.org/abs/2508.20729 https://arx…

Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision
Large language models (LLMs) serve as an active and promising field of generative artificial intelligence and have demonstrated abilities to perform complex tasks in multiple domains, including mathematical and scientific reasoning. In this work, we construct a novel agent framework for solving representative problems in scientific computing. The proposed agent, incorporating a "rewriting-resolution-review-revision" logical chain via three reasoning LLMs (functioning as the Consultant, Reviewer…

Cubs legend Ryne Sandberg dies at 65; Guardians All-Star closer embroiled in MLB betting investigation

https://www.cbssports.com/mlb/news/cubs-le

In case anyone knows any good documents that explain in easy terms how email, smtp, and utf-8 work together, what exactly SMTPUTF8 and 8BITMIME do, and how that all works together with DKIM, I'd appreciate any pointers.

The Importance of the Digital Object Identifier (DOI) in Enhancing the Credibility of Scientific Research: An Analytical Data Study
Ahmed Shaker Alalaq
https://arxiv.org/abs/2508.20118

The Importance of the Digital Object Identifier (DOI) in Enhancing the Credibility of Scientific Research: An Analytical Data Study
This study aims to analyze the vital role played by the Digital Object Identifier (DOI) in enhancing the credibility and reliability of scientific research in the digital age. Through an analytical study of DOI usage data derived from international scientific publishing institutions, the extent of its adoption and its recognition as a global standard for encoding research and academic sources was highlighted. The results showed that the number of scientific records registered using DOIs exceede…

Q&A with SandboxAQ CEO Jack Hidary on the Alphabet spinoff's partnership with Aramco, how quantum AI can help turn captured CO2 into valuable products, and more (Divsha Bhat/Rest of World)
https://restofworld.org/2025/saudi-aramco-carbon-emissions…

Saudi Aramco wants a Google spinoff to turn its waste into wealth
The world’s biggest crude producer is partnering with SandboxAQ to turn captured carbon into profitable products.

Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
Daoyuan Jin, Nick Gunner, Niko Carvajal Janke, Shivranjani Baruah, Kaitlin M. Gold, Yu Jiang
https://arxiv.org/abs/2508.19383

Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
Modern plant science increasingly relies on large, heterogeneous datasets, but challenges in experimental design, data preprocessing, and reproducibility hinder research throughput. Here we introduce Aleks, an AI-powered multi-agent system that integrates domain knowledge, data analysis, and machine learning within a structured framework to autonomously conduct data-driven scientific discovery. Once provided with a research question and dataset, Aleks iteratively formulated problems, explored a…