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heise | Wie Multi-Level-Technik Heimakkus effizienter macht
Die kleine Firma SAX Power verkauft einen Heimakku, der selbst bei niedriger Teillast beeindruckende Effizienzwerte erreicht. Wir blicken auf die schlaue Idee.

https://federalnewsnetwork.com/cybersecurity/2025/07/trump-admin-focuses-on-zero-trust-2-0-cybersecurity-efficiencies/
Trump admin focuses on ‘zero trust 2.0,’ cybersecurity efficiencies

Trump admin focuses on ‘zero trust 2.0,’ cybersecurity efficiencies
OMB's Nick Polk said the Trump administration's next steps with federal "zero trust" efforts will focus on distinct areas agencies can improve security around.

Democracies should stop focusing on efficiency: Lack thereof and friction are important parts of what defines a healthy democracy. Efficiency will always sacrifice participation, representation and meaningful political discourse. The focus on it is a path into authoritarianism. In the essay ...

SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning
Hexian Ni, Tao Lu, Haoyuan Hu, Yinghao Cai, Shuo Wang
https://arxiv.org/abs/2506.14648

SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning
Preference-based Reinforcement Learning (PbRL) methods provide a solution to avoid reward engineering by learning reward models based on human preferences. However, poor feedback- and sample- efficiency still remain the problems that hinder the application of PbRL. In this paper, we present a novel efficient query selection and preference-guided exploration method, called SENIOR, which could select the meaningful and easy-to-comparison behavior segment pairs to improve human feedback-efficiency…

Multi-State Tracker: Enhancing Efficient Object Tracking via Multi-State Specialization and Interaction
Shilei Wang, Gong Cheng, Pujian Lai, Dong Gao, Junwei Han
https://arxiv.org/abs/2508.11531

Multi-State Tracker: Enhancing Efficient Object Tracking via Multi-State Specialization and Interaction
Efficient trackers achieve faster runtime by reducing computational complexity and model parameters. However, this efficiency often compromises the expense of weakened feature representation capacity, thus limiting their ability to accurately capture target states using single-layer features. To overcome this limitation, we propose Multi-State Tracker (MST), which utilizes highly lightweight state-specific enhancement (SSE) to perform specialized enhancement on multi-state features produced by …

Germany-based Q.ANT, which is developing energy-efficient photonic processors for AI and high-performance computing, raised a €62M Series A (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/07/17/qant-raises-eur62m-to-transform-the…

Q.ANT raises €62M to transform the future of computing with photonic processing
Germany-based Q.ANT, a pioneer in photonic processing, has secured €62 million Series A financing round to accelerate the commercialisation of its energy-efficient photonic processors for artificial intelligence (AI) and high-performance computing (HPC).  As AI infrastructure scales globally, traditional chip technology (CMOS) reaches its physical limits, performance stagnates, and electricity demand is reaching untenable levels. According to a report by the International Energy Agency (IEA…

Freie 3D-Software Blender 4.5: visuell programmieren und effizient rendern
Das 3D-Programm Blender 4.5 ist erschienen. Es bringt Langzeitunterstützung bis 2027, verbesserte Node-Bedienung und soll effizienter rendern als der Vorgänger.

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
Boris Ivanovic, Cristiano Saltori, Yurong You, Yan Wang, Wenjie Luo, Marco Pavone
https://arxiv.org/abs/2506.12251

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
Autoregressive Transformers are increasingly being deployed as end-to-end robot and autonomous vehicle (AV) policy architectures, owing to their scalability and potential to leverage internet-scale pretraining for generalization. Accordingly, tokenizing sensor data efficiently is paramount to ensuring the real-time feasibility of such architectures on embedded hardware. To this end, we present an efficient triplane-based multi-camera tokenization strategy that leverages recent advances in 3D ne…

In a memo to employees, Amazon CEO Andy Jassy says AI "will reduce our total corporate workforce as we get efficiency gains" over time (Steve Kopack/NBC News)
https://www.nbcnews.com/business/business-

Amazon expects to cut corporate jobs as it relies more on AI
Amazon CEO Andy Jassy said Tuesday that the company expects artificial intelligence "will reduce our total corporate workforce as we get efficiency gains" over time.

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu
https://arxiv.org/abs/2506.12394

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
The advent of parameter-efficient fine-tuning methods has significantly reduced the computational burden of adapting large-scale pretrained models to diverse downstream tasks. However, existing approaches often struggle to achieve robust performance under domain shifts while maintaining computational efficiency. To address this challenge, we propose Low-rAnk Regulated Gradient Projection (LARGO) algorithm that integrates dynamic constraints into low-rank adaptation methods. Specifically, LARGO …