Tootfinder

I suspect we’re doing something similar to the tank classifier when we ascribe intelligence to AIs: there are patterns such as (for example) grammatical correctness which we •associate• with this abstract thing called “intelligence,” and we thus mis-infer the existence of everything else we associate with the notion of “intelligence” when we see (for example) correct grammar.
Or should we just call the machine intelligent because we classify it as intelligence because our brains, which we assume are intelligent, think it fits the pattern of intelligence? And now you see what the OP means about “begging the question of intelligence.”

Foundations for Energy-Aware Zero-Energy Devices: From Energy Sensing to Adaptive Protocols
Onel L. A. L\'opez, Mateen Ashraf, Samer Nasser, Gabriel M. de Jesus, Ritesh Kumar Singh, Miltiadis C. Filippou, Jeroen Famaey
https://arxiv.org/abs/2507.22740

Foundations for Energy-Aware Zero-Energy Devices: From Energy Sensing to Adaptive Protocols
Zero-energy devices (ZEDs) are key enablers of sustainable Internet of Things networks by operating solely on harvested ambient energy. Their limited and dynamic energy budget calls for protocols that are energy-aware and intelligently adaptive. However, designing effective energy-aware protocols for ZEDs requires theoretical models that realistically reflect device constraints. Indeed, existing approaches often oversimplify key aspects such as energy information (EI) acquisition, task-level va…

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
Joshua Kalyanapu, Farshad Dizani, Darsh Asher, Azam Ghanbari, Rosario Cammarota, Aydin Aysu, Samira Mirbagher Ajorpaz
https://arxiv.org/abs/2507.17033

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
As power consumption from AI training and inference continues to increase, AI accelerators are being integrated directly into the CPU. Intel's Advanced Matrix Extensions (AMX) is one such example, debuting on the 4th generation Intel Xeon Scalable CPU. We discover a timing side and covert channel, GATEBLEED, caused by the aggressive power gating utilized to keep the CPU within operating limits. We show that the GATEBLEED side channel is a threat to AI privacy as many ML models such as transform…

A Nonlinear Nonlocal Problem for the Caputo Fractional Subdiffusion Equation
Ravshan Ashurov, Rajapboy Saparboyev, Navbahor Nuraliyeva
https://arxiv.org/abs/2506.19516

A Nonlinear Nonlocal Problem for the Caputo Fractional Subdiffusion Equation
In this paper, we study a time-fractional subdiffusion equation with a nonlinear nonlocal initial condition involving the unknown solution at the final time. The considered problem is formulated using the Caputo fractional derivative of order \(0 < α< 1\), along with homogeneous Dirichlet boundary conditions. The nonlocal initial condition is of the form \( u(x,0) = g(x, u(x,T)) \), where \(g\) is a nonlinear function satisfying a Lipschitz condition. The main challenge arises from the implici…

WeAct fordert mehr Agroforst, da gibt es aktuell tatsächlich noch Förderlücken, vor allem bei den Initialen Investitionen. Dort könnte eine passende Förderung einiges erreichen.
Gegen Wassermangel: Bäume und Hecken auf die Äcker!
https://weact.campact.de/petitions/geg

Gegen Wassermangel: Bäume und Hecken auf die Äcker!
💧🌳 Wassermangel, Hitzestress, Bodenerosion – unsere Äcker brauchen mehr Schatten und Wasser! Darum: Hecken und Bäume aufs Feld! Unterschreibe jetzt die WeAct-Petition für Agroforstsysteme in der Landwirtschaft. 👉 https://weact.campact.de/p/wassermangel #Agroforst #Klimaanpassung #Wasserschutz #Landwirtschaft #Petition

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- AKReF: An argumentative knowledge representation framework for structured argumentation
Debarati Bhattacharjee, Ashish Anand

Acrobat PDF and AI: I would consider Acrobat intelligent if it would take less than a minute to open.

Forward and inverse problems for a mixed-type equation with the Caputo fractional derivative and Dezin-type non-local condition
Ravshan Ashurov, Umida Dusanova, Navbahor Nuraliyeva
https://arxiv.org/abs/2507.12129

Forward and inverse problems for a mixed-type equation with the Caputo fractional derivative and Dezin-type non-local condition
This work is dedicated to the study of a mixed-type partial differential equation involving a Caputo fractional derivative in the time domain $t > 0$ and a classical parabolic equation in the domain $t < 0$, along with Dezin-type non-local boundary and gluing conditions. The forward and inverse problems are studied in detail. For the forward problem, the existence and uniqueness of solutions are established using the Fourier method, under appropriate assumptions on the initial data and the righ…

Bifurcation in optimal retirement
Bushra Shehnam Ashraf, Thomas S. Salisbury
https://arxiv.org/abs/2506.02155 https://arxiv.org/pdf/2…

Bifurcation in optimal retirement
We study optimal consumption and retirement using a Cobb-Douglas utility and a simple model in which an interesting bifurcation arises. With high wealth, individuals plan to retire. With low wealth they plan to never retire. At a critical level of initial wealth they may choose to defer this decision, leading to a continuum of wealth trajectories with identical utilities.