Tootfinder

"Debug Like a Pro: Improve Your Efficiency with Visual Studio & Copilot" is worth watching.
#visualstudio #build

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.

On Energy-Efficient Passive Beamforming Design of RIS-Assisted CoMP-NOMA Networks
Muhammad Umer, Muhammad Ahmed Mohsin, Aamir Mahmood, Haejoon Jung, Haris Pervaiz, Mikael Gidlund, Syed Ali Hassan
https://arxiv.org/abs/2506.17189

On Energy-Efficient Passive Beamforming Design of RIS-Assisted CoMP-NOMA Networks
This paper investigates the synergistic potential of reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) to enhance the energy efficiency and performance of next-generation wireless networks. We delve into the design of energy-efficient passive beamforming (PBF) strategies within RIS-assisted coordinated multi-point (CoMP)-NOMA networks. Two distinct RIS configurations, namely, enhancement-only PBF (EO) and enhancement & cancellation PBF (EC), are proposed and an…

📚 Wie gelingt verständliche Kommunikation in Bibliotheken?
Am 7. Mai (9:30–13 Uhr) zeigt Krishna-Sara Helmle im Online-Seminar, wie Einfache Sprache funktioniert – praxisnah, inkl. KI-Tipps und Arbeit mit eigenen Texten.
Anmelden: https://dgi-info.de/eve…

The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro
https://arxiv.org/abs/2506.16666

The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
This paper systematizes research on auditing Differential Privacy (DP) techniques, aiming to identify key insights into the current state of the art and open challenges. First, we introduce a comprehensive framework for reviewing work in the field and establish three cross-contextual desiderata that DP audits should target--namely, efficiency, end-to-end-ness, and tightness. Then, we systematize the modes of operation of state-of-the-art DP auditing techniques, including threat models, attacks,…

DHL, UPS, FedEx, and Walmart are using robots to boost warehouse efficiency and cut costs, including automating the physically demanding task of loading trucks (Esther Fung/Wall Street Journal)
https://www.

Filter-Centric Vector Indexing: Geometric Transformation for Efficient Filtered Vector Search
Alireza Heidari, Wei Zhang
https://arxiv.org/abs/2506.15987 h…

Filter-Centric Vector Indexing: Geometric Transformation for Efficient Filtered Vector Search
The explosive growth of vector search applications demands efficient handling of combined vector similarity and attribute filtering; a challenge where current approaches force an unsatisfying choice between performance and accuracy. We introduce Filter-Centric Vector Indexing (FCVI), a novel framework that transforms this fundamental trade-off by directly encoding filter conditions into the vector space through a mathematically principled transformation $ψ(v, f, α)$. Unlike specialized soluti…

Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ
Yunkee Chae, Kyogu Lee
https://arxiv.org/abs/2506.16538 https://

Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ
Residual Vector Quantization (RVQ) has become a dominant approach in neural speech and audio coding, providing high-fidelity compression. However, speech coding presents additional challenges due to real-world noise, which degrades compression efficiency. Standard codecs allocate bits uniformly, wasting bitrate on noise components that do not contribute to intelligibility. This paper introduces a Variable Bitrate RVQ (VRVQ) framework for noise-robust speech coding, dynamically adjusting bitrate…

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu, Sunghwan Kim, Alok Prakash, Daniela Rus, Jinhua Zhao, Bryan Kian Hsiang Low, Paul Pu Liang
https://arxiv.org/abs/2506.15841

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Modern language agents must operate over long-horizon, multi-turn interactions, where they retrieve external information, adapt to observations, and answer interdependent queries. Yet, most LLM systems rely on full-context prompting, appending all past turns regardless of their relevance. This leads to unbounded memory growth, increased computational costs, and degraded reasoning performance on out-of-distribution input lengths. We introduce MEM1, an end-to-end reinforcement learning framework …

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Ezzat Elokda, Andrea Censi, Emilio Frazzoli, Florian D\"orfler, Saverio Bolognani
https://arxiv.org/abs/2506.17115

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Control systems will play a pivotal role in addressing societal-scale challenges as they drive the development of sustainable future smart cities. At the heart of these challenges is the trustworthy, fair, and efficient allocation of scarce public resources, including renewable energy, transportation, data, computation, etc.. Historical evidence suggests that monetary control -- the prototypical mechanism for managing resource scarcity -- is not always well-accepted in socio-technical resource …