Tootfinder

from my link log —
Distance-based ISA for efficient register renaming.
https://www.sigarch.org/distance-based-isa-for-efficient-register-management/
saved 2025-06-04

Distance-Based ISA for Efficient Register Management
CPU cores have become significantly wider over the past decade. Ten years ago, the highest-performance CPUs could decode only up to four instructions simultaneously and execute up to eight instruct…

Development of a Smart Autonomous Irrigation System Using Iot and AI
Yunus Emre Kunt
https://arxiv.org/abs/2506.11835 https://arxiv.o…

Development of a Smart Autonomous Irrigation System Using Iot and AI
Agricultural irrigation ensures that the water required for plant growth is delivered to the soil in a controlled manner. However, uncontrolled management can lead to water waste while reducing agricultural productivity. Drip irrigation systems, which have been one of the most efficient methods since the 1970s, are modernised with IoT and artificial intelligence in this study, aiming to both increase efficiency and prevent water waste. The developed system is designed to be applicable to differ…

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
Junhang Cheng, Fang Liu, Chengru Wu, Li Zhang
https://arxiv.org/abs/2506.10525

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
While Large Language Models (LLMs) have significantly advanced code generation efficiency, they face inherent challenges in balancing performance and inference costs across diverse programming tasks. Dynamically selecting the optimal LLM based on task difficulty and resource constraints offers a promising approach to achieve an optimal balance between efficiency and performance. However, existing model selection methods are resource-intensive and often neglect cost efficiency. Moreover, these a…

AI doesn't make you more efficient:
Thoughts after a year of working with LLMs and building Agent
Since everyone is in the business of giving their opinion on the whole AI craze at the moment I thought I’d throw mine out in the ether. […]
👉 https://byt3bl33d3r.substack.com/p/…

AI doesn't make you more efficient
Thoughts after a year of working with LLMs and building Agents

"New tech gives second life to plastic farm waste"
#Plastic #Plastics #Environment

New tech gives second life to plastic farm waste
In a study published in the journal Recycling, the research team analyzed the thermal, physical and mechanical properties of various plastic waste materials to determine the optimal temperature to process them using a groundbreaking, cost-efficient melting machine developed by partner company Ritchie Technology (Rtec).

Europol: Datendiebstahl ist Big Business und eine erhebliche Bedrohung
KI und andere Spitzentechnologien beschleunigen die Schattenseiten der digitalen Revolution, moniert Europol. Cyberkriminelle steigerten damit ihre Effizienz.

Evasion Attacks Against Bayesian Predictive Models
Pablo G. Arce, Roi Naveiro, David R\'ios Insua
https://arxiv.org/abs/2506.09640 https://

Evasion Attacks Against Bayesian Predictive Models
There is an increasing interest in analyzing the behavior of machine learning systems against adversarial attacks. However, most of the research in adversarial machine learning has focused on studying weaknesses against evasion or poisoning attacks to predictive models in classical setups, with the susceptibility of Bayesian predictive models to attacks remaining underexplored. This paper introduces a general methodology for designing optimal evasion attacks against such models. We investigate …

🇺🇦 #NowPlaying on KEXP's #SonicReducer
Living Colour:
🎵 Which Way to America?
#LivingColour
https://open.spotify.com/track/3EEpP7SNSga1tekgS0Xben

Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
Haiyang Yu, Yuchao Lin, Xuan Zhang, Xiaofeng Qian, Shuiwang Ji
https://arxiv.org/abs/2506.09398

Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
We consider the task of predicting Hamiltonian matrices to accelerate electronic structure calculations, which plays an important role in physics, chemistry, and materials science. Motivated by the inherent relationship between the off-diagonal blocks of the Hamiltonian matrix and the SO(2) local frame, we propose a novel and efficient network, called QHNetV2, that achieves global SO(3) equivariance without the costly SO(3) Clebsch-Gordan tensor products. This is achieved by introducing a set o…