Tootfinder

🇺🇦 #NowPlaying on KEXP's #MorningShow
Pretty Bitter:
🎵 Outer Heaven Dude Ranch
#PrettyBitter
https://prettybitter.bandcamp.com/track/outer-heaven-dude-ranch
https://open.spotify.com/track/32S4UTJzF0XzYwkWApK2TL

Wealthfront, which uses AI to build investment portfolios, confidentially files for a US IPO; it was valued at $1.4B in 2022 during a failed acquisition by UBS (Prakhar Srivastava/Reuters)
https://www.reuters.com/technology/wealthf

Willkommen auf der Peertube-Instanz von heise medien. 🐙📺
Wenn ihr unsere Videos ohne undurchsichtige Algorithmen schauen möchtet, seid ihr hier genau richtig: https://peertube.heise.de

'"[…] Suppose you compile an #eBPF program on #kernel version 5.3, but it fails to run on 5.4.
Why? Because each kernel version ships with its own kernel headers, which define structs and memory layouts. […]
So if a certain struct field […] sits at a different offset in another OS or ke…

@… Do you know if SKH videos could get released through PeerTube at some point? They have sync options on most instances so you can set and forget it.

An Elementary Characterization of Bargmann Invariants
Sagar Silva Pratapsi, Jo\~ao Gouveia, Leonardo Novo, Ernesto F. Galv\~ao
https://arxiv.org/abs/2506.17132

An Elementary Characterization of Bargmann Invariants
Bargmann invariants, also known as multivariate traces of quantum states $\operatorname{Tr}(ρ_1 ρ_2 \cdots ρ_n)$, are unitary invariant quantities used to characterize weak values, Kirkwood-Dirac quasiprobabilities, out-of-time-order correlators (OTOCs), and geometric phases. Here we give a complete characterization of the set $B_n$ of complex values that $n$-th order invariants can take, resolving some recently proposed conjectures. We show that $B_n$ is equal to the range of invariants ari…

A workflow for generating synthetic LiDAR datasets in simulation environments
Abhishek Phadke, Shakib Mahmud Dipto, Pratip Rana
https://arxiv.org/abs/2506.17378

A workflow for generating synthetic LiDAR datasets in simulation environments
This paper presents a simulation workflow for generating synthetic LiDAR datasets to support autonomous vehicle perception, robotics research, and sensor security analysis. Leveraging the CoppeliaSim simulation environment and its Python API, we integrate time-of-flight LiDAR, image sensors, and two dimensional scanners onto a simulated vehicle platform operating within an urban scenario. The workflow automates data capture, storage, and annotation across multiple formats (PCD, PLY, CSV), produ…

Aktien-Portfolio: Alles rot.
Ich: Was hat ER jetzt wieder gemacht?
(Und ich denke, jeder weiss, wer gemeint ist.)

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
Zhou Chen, Sanjoy Kundu, Harsimran S. Baweja, Sathyanarayanan N. Aakur
https://arxiv.org/abs/2506.17516

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
Active event perception, the ability to dynamically detect, track, and summarize events in real time, is essential for embodied intelligence in tasks such as human-AI collaboration, assistive robotics, and autonomous navigation. However, existing approaches often depend on predefined action spaces, annotated datasets, and extrinsic rewards, limiting their adaptability and scalability in dynamic, real-world scenarios. Inspired by cognitive theories of event perception and predictive coding, we p…