Tootfinder

Leveraging Hardware-Aware Computation in Mixed-Precision Matrix Multiply: A Tile-Centric Approach
Qiao Zhang, Rabab Alomairy, Dali Wang, Zhuowei Gu, Qinglei Cao
https://arxiv.org/abs/2508.14848

Leveraging Hardware-Aware Computation in Mixed-Precision Matrix Multiply: A Tile-Centric Approach
General Matrix Multiplication (GEMM) is a critical operation underpinning a wide range of applications in high-performance computing (HPC) and artificial intelligence (AI). The emergence of hardware optimized for low-precision arithmetic necessitates a reevaluation of numerical algorithms to leverage mixed-precision computations, achieving improved performance and energy efficiency. This research introduces an adaptive mixed-precision GEMM framework that supports different precision formats at …

Une belle gang de toto ceux la
"La chambre de commerce réclame des « études impartiales » pour mesurer l’imprégnation de l’arsenic dans la population, explique M. Beaupré, qui dit ne pas savoir si la Direction de santé publique est impartiale."
Pis eux, sont impartiaux??

The Levers of Political Persuasion with Conversational AI
Kobi Hackenburg, Ben M. Tappin, Luke Hewitt, Ed Saunders, Sid Black, Hause Lin, Catherine Fist, Helen Margetts, David G. Rand, Christopher Summerfield
https://arxiv.org/abs/2507.13919

The Levers of Political Persuasion with Conversational AI
There are widespread fears that conversational AI could soon exert unprecedented influence over human beliefs. Here, in three large-scale experiments (N=76,977), we deployed 19 LLMs-including some post-trained explicitly for persuasion-to evaluate their persuasiveness on 707 political issues. We then checked the factual accuracy of 466,769 resulting LLM claims. Contrary to popular concerns, we show that the persuasive power of current and near-future AI is likely to stem more from post-training…

How Hurricane Resilience for Commercial Real Estate is Leveraging Drones and AI
CNBC - August 20, 2025
“As season after season produces more intense storms resulting in increasingly costly damage, facilities managers in commercial real estate are making property resilience a priority.”
https://www.

How hurricane resilience for commercial real estate is leveraging drones and AI
Site Technologies employs drones to help CRE facilities managers see where the vulnerabilities are in their properties and address them before storms hit.

Leveraging Extrinsic Dexterity for Occluded Grasping on Grasp Constraining Walls
Keita Kobashi, Masayoshi Tomizuka
https://arxiv.org/abs/2507.14721 https:/…

Leveraging Extrinsic Dexterity for Occluded Grasping on Grasp Constraining Walls
This study addresses the problem of occluded grasping, where primary grasp configurations of an object are not available due to occlusion with environment. Simple parallel grippers often struggle with such tasks due to limited dexterity and actuation constraints. Prior works have explored object pose reorientation such as pivoting by utilizing extrinsic contacts between an object and an environment feature like a wall, to make the object graspable. However, such works often assume the presence …

NetIntent: Leveraging Large Language Models for End-to-End Intent-Based SDN Automation
Md. Kamrul Hossain, Walid Aljoby
https://arxiv.org/abs/2507.14398 ht…

NetIntent: Leveraging Large Language Models for End-to-End Intent-Based SDN Automation
Intent-Based Networking (IBN) often leverages the programmability of Software-Defined Networking (SDN) to simplify network management. However, significant challenges remain in automating the entire pipeline, from user-specified high-level intents to device-specific low-level configurations. Existing solutions often rely on rigid, rule-based translators and fixed APIs, limiting extensibility and adaptability. By contrast, recent advances in large language models (LLMs) offer a promising pathway…

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
Pragyan K C, Rambod Ghandiparsi, Thomas Herron, John Heaps, Mitra Bokaei Hosseini
https://arxiv.org/abs/2507.13555

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
The growing popularity and widespread use of software applications (apps) across various domains have driven rapid industry growth. Along with this growth, fast-paced market changes have led to constantly evolving software requirements. Such requirements are often grounded in feature requests and enhancement suggestions, typically provided by users in natural language (NL). However, these requests often suffer from defects such as ambiguity and incompleteness, making them challenging to interpr…

Thought: Philosophical arguments are like financial leverage. With them, you can bet on modest-seeming intuitive principles and come out with grand statements about the nature of the universe. But if your principles are even slightly wrong, your conclusions will be extremely wrong.

Leveraging Multi-Instance GPUs through moldable task scheduling
Jorge Villarrubia, Luis Costero, Francisco D. Igual, Katzalin Olcoz
https://arxiv.org/abs/2507.13601

Leveraging Multi-Instance GPUs through moldable task scheduling
NVIDIA MIG (Multi-Instance GPU) allows partitioning a physical GPU into multiple logical instances with fully-isolated resources, which can be dynamically reconfigured. This work highlights the untapped potential of MIG through moldable task scheduling with dynamic reconfigurations. Specifically, we propose a makespan minimization problem for multi-task execution under MIG constraints. Our profiling shows that assuming monotonicity in task work with respect to resources is not viable, as is usu…