Tootfinder

Metas erste Smart Glasses mit Display werden günstiger als gedacht
Meta könnte nächsten Monat erste Smart Glasses mit Display und sEMG-Armband vorstellen. Laut Bloomberg liegt der Preis bei rund 800 US-Dollar.

“Former Capitol police officers attacked on January 6 dismissed Trump’s new law-and-order stance in DC, recalling his failure to deploy the National Guard during the riot and criticizing his sudden use of troops against what city leaders say is a nonexistent crime wave.”
https://aaronparnas.substack.c…

Ich brauche Eure Hilfe:
Ich will über die #Wärmeleitplanung in den Städten berichten und suche mindestens noch ein Beispiel, wo es entweder gut läuft oder wo viele Probleme nicht gelöst werden.
Das Thema #Wärmeplanung hört sich trocken an, doch es geht darum die F…

78°F around 26°C and humid as a professional's armpit.

BREAKING: House Republicans Block Measure to Release Epstein Files as Trump Pivots on Ukraine (Aaron Parnas/The Parnas Perspective)
https://aaronparnas.substack.com/p/breaking-house-republicans-block
http://www.memeorandum.com/250716/p1#a250716p1

Me (to myself): Get in to work early this morning, with no messing about on the way in. Just 'a to b', fast and efficient!
Also me: [Leaves very late, grabs a unicycle and proceeds to cycling in via the following route]
🤷
https://www.strava.com/activities/14824892

Nonparametric learning of stochastic differential equations from sparse and noisy data
Arnab Ganguly, Riten Mitra, Jinpu Zhou
https://arxiv.org/abs/2508.11597 https://

Nonparametric learning of stochastic differential equations from sparse and noisy data
The paper proposes a systematic framework for building data-driven stochastic differential equation (SDE) models from sparse, noisy observations. Unlike traditional parametric approaches, which assume a known functional form for the drift, our goal here is to learn the entire drift function directly from data without strong structural assumptions, making it especially relevant in scientific disciplines where system dynamics are partially understood or highly complex. We cast the estimation prob…

Does the Democratic Party need to register a $45 million in-kind political donation for today’s fiasco?
#ArmyParade #TrumpParade

Compton amplitude and Contact term(s) in the Spinor Helicity formalism
Aakash Kumar, Arnab Rudra, Rahul Shaw
https://arxiv.org/abs/2506.12431 https://

Compton amplitude and Contact term(s) in the Spinor Helicity formalism
In gauge theories, contact terms play an important role in ensuring gauge invariance. In the spinor helicity formalism, the choice of a gauge-fixing condition manifests itself in the form of the choice of reference vector to write the massless polarization vector(s). However, this choice must be irrelevant in any gauge-invariant observable. We use this principle to determine contact term for Electromagnetic Compton amplitude. We considered three-point function between two massive particles \& a…

Newfluence: Boosting Model interpretability and Understanding in High Dimensions
Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
https://arxiv.org/abs/2507.11895

Newfluence: Boosting Model interpretability and Understanding in High Dimensions
The increasing complexity of machine learning (ML) and artificial intelligence (AI) models has created a pressing need for tools that help scientists, engineers, and policymakers interpret and refine model decisions and predictions. Influence functions, originating from robust statistics, have emerged as a popular approach for this purpose. However, the heuristic foundations of influence functions rely on low-dimensional assumptions where the number of parameters $p$ is much smaller than the …