Tootfinder

Tu(r)ning AI Green: Exploring Energy Efficiency Cascading with Orthogonal Optimizations
Saurabhsingh Rajput, Mootez Saad, Tushar Sharma
https://arxiv.org/abs/2506.18289

Tu(r)ning AI Green: Exploring Energy Efficiency Cascading with Orthogonal Optimizations
AI's exponential growth intensifies computational demands and energy challenges. While practitioners employ various optimization techniques, that we refer as "knobs" in this paper, to tune model efficiency, these are typically afterthoughts and reactive ad-hoc changes applied in isolation without understanding their combinatorial effects on energy efficiency. This paper emphasizes on treating energy efficiency as the first-class citizen and as a fundamental design consideration for a compute-in…

Series A, Episode 12 - Deliverance
ZEN: Navigation computers estimate six minutes to impact. [Visual display shows computer representation of the out-of- control vessel. Two smaller objects emerge from it.]
BLAKE: They've ejected. Zen, lock tracers on to those capsules. I want to know exactly where they land.
https://blake.…

Get the summer feeling going! Just press play on this one #punk #music #thedwarves #energy

Miami-based Pelico, which offers a supply chain orchestration platform, raised a $40M Series B led by General Catalyst, bringing its total funding to $72M (Colin Campbell/Axios)
https://www.axios.com/pro/supply-chain-dea

Supply chain tech startup Pelico raises $40M round led by General Catalyst
The startup serves aerospace, defense, luxury and industrial customers, but its co-founder sees relevance in medical devices and energy.

Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset
Elena Masserini, Diego Clerissi, Daniela Micucci, Jo\~ao R. Campos, Leonardo Mariani
https://arxiv.org/abs/2508.15496

Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset
Task-based chatbots are increasingly being used to deliver real services, yet assessing their reliability, security, and robustness remains underexplored, also due to the lack of large-scale, high-quality datasets. The emerging automated quality assessment techniques targeting chatbots often rely on limited pools of subjects, such as custom-made toy examples, or outdated, no longer available, or scarcely popular agents, complicating the evaluation of such techniques. In this paper, we present t…

From Translink
A new era for SkyTrain: The Mark V rolls into service on the Expo Line
The first of 47 new trains that will bring more space, comfort, and modern design to customers across Metro Vancouver.
Wider aisles with more standing room, handrails and new leaning pads
Spacious multi-use areas for bikes, luggage, strollers, wheelchairs, & other mobility devices
Enhanced safety and accessibility with visual door closure and emergency braking indicators

A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
Long S. T. Nguyen, Truong P. Hua, Thanh M. Nguyen, Toan Q. Pham, Nam K. Ngo, An X. Nguyen, Nghi D. M. Pham, Nghia H. Nguyen, Tho T. Quan
https://arxiv.org/abs/2507.22542

A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
With the rapid growth of Artificial Intelligence, Large Language Models (LLMs) have become essential for Question Answering (QA) systems, improving efficiency and reducing human workload in customer service. The emergence of Vietnamese LLMs (ViLLMs) highlights lightweight open-source models as a practical choice for their accuracy, efficiency, and privacy benefits. However, domain-specific evaluations remain limited, and the absence of benchmark datasets reflecting real customer interactions ma…

DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
Ko-Wei Chuang, Hen-Hsen Huang, Tsai-Yen Li
https://arxiv.org/abs/2508.05671

DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
As large language models (LLMs) and generative AI become increasingly integrated into customer service and moderation applications, adversarial threats emerge from both external manipulations and internal label corruption. In this work, we identify and systematically address these dual adversarial threats by introducing DINA (Dual Defense Against Internal Noise and Adversarial Attacks), a novel unified framework tailored specifically for NLP. Our approach adapts advanced noisy-label learning me…

Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems
Weicong Chen, Chao-Kai Wen, Wankai Tang, Xiao Li, Shi Jin
https://arxiv.org/abs/2507.01641

Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems
Reconfigurable intelligent surfaces (RISs) offer the unique capability to reshape the radio environment, thereby simplifying transmission schemes traditionally contingent on channel conditions. Joint spatial division and multiplexing (JSDM) emerges as a low-overhead transmission scheme for multi-user equipment (UE) scenarios, typically requiring complex matrix decomposition to achieve block-diagonalization of the effective channel matrix. In this study, we introduce an innovative JSDM design th…

Lensing Without Borders: Measurements of galaxy-galaxy lensing and projected galaxy clustering in DESI DR1
S. Heydenreich, A. Leauthaud, C. Blake, Z. Sun, J. U. Lange, T. Zhang, M. DeMartino, A. J. Ross, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, F. J. Castander, T. Claybaugh, A. Cuceu, A. de la Macorra, J. DeRose, Arjun Dey, Biprateep Dey, P. Doel, N. Emas, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, C. Garcia-Quintero, E. Gazta\~naga, S. Gontcho A Gontcho, G. Gutierrez, B. Had…

Lensing Without Borders: Measurements of galaxy-galaxy lensing and projected galaxy clustering in DESI DR1
We present Galaxy-Galaxy Lensing measurements obtained by cross-correlating spectroscopically observed galaxies from the first data release of the Dark Energy Spectroscopic Instrument (DESI) with source galaxies from the Hyper Suprime-Cam Subaru Strategic Survey, the Kilo-Degree Survey, the Sloan Digital Sky Survey, and the Dark Energy Survey. Specifically, we measure the excess surface mass density $ΔΣ$ and tangential shear $γ_\mathrm{t}$ for the Bright Galaxy Sample and Luminous Red Galaxi…