Tootfinder

"AUcH, weNn ES dIe pOlItiSche fÜhRunG zu UNterBinDEN vErSuChT" - die Gruppe jener #noAfD ler, die wegen unverdautem Militärfetisch bei dem Zirkus mitmachen, ist bislang zu wenig erforscht - hauptsächlich deshalb, weil man mit ständigen Lachanfällen nicht gut forschen kann.

I had ONE meeting that required my physical presence at work today.
That one meeting got cancelled 10 minutes after I got to work.
I could be at home right now being x2 productive in my pajamas with coffee that doesn't suck.
Me:

"Pen vs. Keyboard? Why the Tool Doesn’t Matter as Much as You Think for Personal Knowledge Management" #KnowledgeManagement

Small Multifamily Investment Snapshot — June 2025
Arbor - June 10, 2025
“Once again, small multifamily demonstrated its resilience in the first quarter of 2025. Pricing stabilized, origination activity improved, and credit standards gained momentum toward pre-pandemic benchmarks.”

Small Multifamily Investment Snapshot — June 2025 - Arbor Realty
Amid ongoing macroeconomic uncertainty, the small multifamily sector remains well-positioned to weather volatility and build on market momentum as the economy navigates stormy conditions.

It’s a bad sign if you are in a work meeting and the presenter opens up a .xlsx file and gives a 5 minute instruction on how to zoom in on a teams screen share while they wait on their file to load.

Meeting a Challenge raised by Ekhad and Zeilberger related to Stern's Triangle
Jinlong Tang, Guoce Xin
https://arxiv.org/abs/2506.13375 https://…

Meeting a Challenge raised by Ekhad and Zeilberger related to Stern's Triangle
This paper resolves an open problem raised by Ekhad and Zeilberger for computing $ω(10000)$, which is related to Stern's triangle. While $ν(n)$, defined as the sum of squared coefficients in $\prod_{i=0}^{n-1} (1 + x^{2^i} + x^{2^{i+1}})$, admits a rational generating function, the analogous function $ω(n)$ for $\prod_{i=0}^{n-1} (1 + x^{2^i+1} + x^{2^{i+1}+1})$ presents substantial computational difficulties due to its complex structure. We develop a method integrating constant term techn…

FermŠt, which uses AI to analyze e-commerce store performance and audience behavior for personalized campaigns, raised a $45M Series B led by VMG Partners (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2…

Exclusive: Commerce platform Fermàt raises $45M Series B
VMG Partners led the Series B.

Here comes the next #AAS246 presser, number 3 of 5: https://www.youtube.com/watch?v=Z7niXAHqkLg. The topic is "Planets, Exoplanets, and Brown Dwarfs", and the presentations are https://aas.org/meetings/aas246/press-kit#Tue_am

BanditWare: A Contextual Bandit-based Framework for Hardware Prediction
Tain\~a Coleman, Hena Ahmed, Ravi Shende, Ismael Perez, \"Ilkay Altinta\c{s}
https://arxiv.org/abs/2506.13730

BanditWare: A Contextual Bandit-based Framework for Hardware Prediction
Distributed computing systems are essential for meeting the demands of modern applications, yet transitioning from single-system to distributed environments presents significant challenges. Misallocating resources in shared systems can lead to resource contention, system instability, degraded performance, priority inversion, inefficient utilization, increased latency, and environmental impact. We present BanditWare, an online recommendation system that dynamically selects the most suitable ha…

Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling
Paolo Franceschi, Andrea Bussolan, Vincenzo Pomponi, Oliver Avram, Stefano Baraldo, Anna Valente
https://arxiv.org/abs/2506.09697

Human-robot collaborative transport personalization via Dynamic Movement Primitives and velocity scaling
Nowadays, industries are showing a growing interest in human-robot collaboration, particularly for shared tasks. This requires intelligent strategies to plan a robot's motions, considering both task constraints and human-specific factors such as height and movement preferences. This work introduces a novel approach to generate personalized trajectories using Dynamic Movement Primitives (DMPs), enhanced with real-time velocity scaling based on human feedback. The method was rigorously tested in …