Tootfinder

Who would have guessed.
Big Tech is paying millions to train teachers on AI, in a push to bring chatbots into classrooms
https://apnews.com/article/artificial-intelligence-teacher-union-microsoft-f7554b6550fb90519dd8129acac8e2…

Deep Sea Divers Recover Bell, Other Artifacts From Titanic’s Sunken Sister Ship–The Britannic https://www.goodnewsnetwork.org/deep-sea-divers-recover-bell-other-artifacts-from-titanics-sunken-sister-ship-the-britannic/

Deep Sea Divers Recover Bell, Other Artifacts From Titanic’s Sunken Sister Ship–The Britannic
Called the HMHS Britannic, it was one of three Olympic-class ocean liners built by the White Star Lines company in the early 20th century

(SFGATE flashback, January 17, 2000) Blind man 'sees' shapes in artificial vision test / Treatment involved brain implant, computers https://www.sfgate.com/health/article/Blind-Man-Sees-Shapes-In-Artificial-Vision-Test-2783204.php

Perplexity debuts Email Assistant for Gmail and Outlook, which can manage inboxes, schedule meetings, and more, for subscribers of its $200/month Max plan (Zac Bowden/Windows Central)
https://www.

Perplexity launches AI email assistant that can manage your Outlook or Gmail inbox for you — but it will cost $200 a month
Perplexity's $200 subscription is gaining a new feature that lets it manage your inbox by drafting replies to threads, scheduling meetings, and labeling emails using a new AI email assistant.

Reconfigurable qubit states and quantum trajectories in a synthetic artificial neuron network with a process to direct information generation from co-integrated burst-mode spiking under non-Markovianity
Osama M. Nayfeh, Chris S. Horne
https://arxiv.org/abs/2507.16669

Reconfigurable qubit states and quantum trajectories in a synthetic artificial neuron network with a process to direct information generation from co-integrated burst-mode spiking under non-Markovianity
A synthetic artificial neuron network functional in a regime where quantum information processes are co-integrated with spiking computation provides significant improvement in the capabilities of neuromorphic systems in performing artificial intelligence and autonomy tasks. This provides the ability to execute with the qubit coherence states and entanglement as well as in tandem to perform functions such as read out and basic arithmetic with conventional spike-encoding. Ultimately, this enables…

Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
Hugo Villamizar, Jannik Fischbach, Alexander Korn, Andreas Vogelsang, Daniel Mendez
https://arxiv.org/abs/2509.17548

Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
Developers now routinely interact with large language models (LLMs) to support a range of software engineering (SE) tasks. This prominent role positions prompts as potential SE artifacts that, like other artifacts, may require systematic development, documentation, and maintenance. However, little is known about how prompts are actually used and managed in LLM-integrated workflows, what challenges practitioners face, and whether the benefits of systematic prompt management outweigh the associat…

»The warning signs the AI bubble is about to burst:
Shock sell-off after study warns most investments in artificial intelligence get zero returns«
Surprise, surprise – NOPE!!! Is it always like this when hopes are sold and there are no tangible contents or even REALLY novel useful products. (ಠ╭╮ಠ)
🙄

The warning signs the AI bubble is about to burst
Shock sell-off after study warns most investments in artificial intelligence get zero returns

Conditionally adaptive augmented Lagrangian method for physics-informed learning of forward and inverse problems using artificial neural networks
Qifeng Hu, Shamsulhaq Basir, Inanc Senocak
https://arxiv.org/abs/2508.15695

Conditionally adaptive augmented Lagrangian method for physics-informed learning of forward and inverse problems using artificial neural networks
We present several advances to the physics and equality constrained artificial neural networks (PECANN) framework that substantially improve its capability to learn solutions of canonical partial differential equations (PDEs). First, we generalize the augmented Lagrangian method (ALM) to support multiple independent penalty parameters, enabling simultaneous enforcement of heterogeneous constraints. Second, we reformulate pointwise constraint enforcement and Lagrange multipliers as expectations …

OECD lists 1,300 AI regulations, guidelines, and other policies worldwide as of September 2025, up ~30% since 2022, but international cooperation has stalled (Naoki Watanabe/Nikkei Asia)
https://asia.nikkei.com/business/techn

Global web of AI rules grows 30% in 3 years as cooperation stalls
US, Europe and China pursue their own aims, leaving rest of world behind

A profile of Stability AI, which under CEO Prem Akkaraju and Chair Sean Parker has shifted from building frontier AI models to a Hollywood-focused SaaS company (Zoë Schiffer/Wired)
https://www.wired.com/story/artificial-intelligence-hollywood-stability/

AI Isn’t Coming for Hollywood. It's Already Arrived
An early winner in the generative AI wars was near collapse—then bet everything on a star-studded comeback. Can Stability AI beat the competition?