Tootfinder

The rosy windows shone as I stood outside the building, hand resting uncertainly on the door. It was a cozy structure—climbing ivy, soft moss, warm brickwork and good, solid timbers. Light shone from within, and I heard muted laughter, the playing of piano, the soft rise and fall of chatter. I could be a part of It seemed like such a nice collective, and the coffee shop sanctuary looked so sublime: I just had to gather myself, and open up the door. #MastoPrompt #Microprompt #WSS366

Self-driving technologies need the help of the public: A narrative review of the evidence
Jonathan Smith, Siddartha Khastgir
https://arxiv.org/abs/2505.23472

Self-driving technologies need the help of the public: A narrative review of the evidence
If public trust is lot in a new technology early in its life cycle it can take much more time for the benefits of that technology to be realised. Eventually tens-of-millions of people will collectively have the power to determine self-driving technology success of failure driven by their perception of risk, data handling, safety, governance, accountability, benefits to their life and more. This paper reviews the evidence on safety critical technology covering trust, engagement, and acceptance. …

The rosy windows shone as I stood outside the building, hand resting uncertainly on the door. It was a cozy structure—climbing ivy, soft moss, warm brickwork and good, solid timbers. Light shone from within, and I heard muted laughter, the playing of piano, the soft rise and fall of chatter. I could be a part of It seemed like such a nice collective, and the coffee shop sanctuary looked so sublime: I just had to gather myself, and open up the door. #MastoPrompt #Microprompt #WSS366

This https://arxiv.org/abs/2111.14528 has been replaced.
link: https://scholar.google.com/scholar?q=a

Reconstruction and interpolation of manifolds II: Inverse problems with partial data for distances observations and for the heat kernel
We consider how a closed Riemannian manifold $M$ and its metric tensor $g$ can be approximately reconstructed from local distance measurements. Moreover, we consider an inverse problem of determining $(M,g)$ from limited knowledge on the heat kernel. In the part 1 of the paper, we considered the approximate construction of a smooth manifold in the case when one is given the noisy distances $\tilde d(x,y)=d(x,y)+\varepsilon_{x,y}$ for all points $x,y\in X$, where $X$ is a $δ$-dense subset of $M…

Is there a faction more dangerous to the preservation of cultural heritage than the music industry? Attacking the Internet Archive because "you can listen to 78s on streaming" is laughable, esp. given Warner Brothers recent abandonment of movie collectors whose DVDs don't work anymore.