Tootfinder

Too many inconvenient truths coming from that.
https://arstechnica.com/space/2025/08/nasas-acting-chie…

NASA’s acting chief calls for the end of Earth science at the space agency
NASA’s charter clearly states the agency should study planet Earth, however.

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
Damian Marley:
🎵 All Night
#DamianMarley
https://et7music.bandcamp.com/track/damian-marley-all-night-et7-aciid-remix
https://open.spotify.com/track/5V3fw7a3vubB9PzMNhGoPL

At Berlin Buzzwords 2025, Nomin-Erdene Oyun and Shikhar Srivastava discussed how they built a high-throughput telemetry system to stream, store, and search a large amount of data from scratch using open source technologies such as ZeroMQ, Apache Kafka, Kubernetes, and Apache Cassandra, sharing valuable insights into the system’s design and performance, as well as lessons learned along the way.
Watch the full session: #bbuzz 2026: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

Tyler Smith: You Have to Have That Fighter Mentality | Dallas Cowboys 2025 https://www.youtube.com/watch?v=Cv_VWpxom4E

Työtapojen vapausmuotoilusta (!). Viime viikkoina on tullut eri paikoissa vastaan ajatus siitä, että ihmiset tykkäävät saada itse päättää työtapansa. (...)
Aika usein ei ole yhtään hyvä juttu, jos jokainen keksii puhtaalta pöydältä toistuvan asian työtavan. Siksi tarvitaankin näennäistä vapautta, vapausmuotoilua! (...)
...Jatkuu LinkedInissä

Työtapojen vapausmuotoilusta (!). | Matti Vuori
Työtapojen vapausmuotoilusta (!). Viime viikkoina on tullut eri paikoissa vastaan ajatus siitä, että ihmiset tykkäävät saada itse päättää työtapansa. Sehän nyt ei ole uutinen. Ihmiset eivät ole robotteja - jos joku muu pystyy miettimään työn tekemisen detaljeja myöten, sen työn voisi saman tien automatisoida. Mutta työllä on usein vahvoja reunaehtoja.  - LOOGINEN JÄRJESTYS: Tekemisen kohteen rakentumisella on usein väistämätön logiikkansa (talon runko pitää pystytt…

ViPSN 2.0: A Reconfigurable Battery-free IoT Platform for Vibration Energy Harvesting
Xin Li, Mianxin Xiao, Xi Shen, Jiaqing Chu, Weifeng Huang, Jiashun Li, Yaoyi Li, Mingjing Cai, Jiaming Chen, Xinming Zhang, Daxing Zhang, Congsi Wang, Hong Tang, Bao Zhao, Qitao Lu, Yilong Wang, Jianjun Wang, Minyi Xu, Shitong Fang, Xuanyu Huang. Chaoyang Zhao, Zicheng Liu, Yaowen Yang, Guobiao Hu, Junrui Liang, Wei-Hsin Liao

ViPSN 2.0: A Reconfigurable Battery-free IoT Platform for Vibration Energy Harvesting
Vibration energy harvesting is a promising solution for powering battery-free IoT systems; however, the instability of ambient vibrations presents significant challenges, such as limited harvested energy, intermittent power supply, and poor adaptability to various applications. To address these challenges, this paper proposes ViPSN2.0, a modular and reconfigurable IoT platform that supports multiple vibration energy harvesters (piezoelectric, electromagnetic, and triboelectric) and accommodates…

Thermodynamic coprocessor for linear operations with input-size-independent calculation time based on open quantum system
I. V. Vovchenko, A. A. Zyablovsky, A. A. Pukhov, E. S. Andrianov
https://arxiv.org/abs/2509.09382

Thermodynamic coprocessor for linear operations with input-size-independent calculation time based on open quantum system
Linear operations, e.g., vector-matrix or vector-vector multiplications, are core operations of modern neural networks. To diminish computational time, these operations are implemented by parallel computations using different coprocessors. In this work we show that open quantum system consisting of bosonic modes and interacting with bosonic reservoirs can be used as analog coprocessor implementing multiple vector-matrix multiplications with stochastic matrices in parallel. Input vectors are enc…

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
Rushil Thareja, Preslav Nakov, Praneeth Vepakomma, Nils Lukas
https://arxiv.org/abs/2507.04531

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
Large language models (LLMs) can leak sensitive information from their context through generated outputs, either accidentally or when prompted adversarially. Existing defenses that aim to preserve context privacy during inference either lack formal guarantees or suffer from a poor utility/privacy trade-off. We propose DP-Fusion, a token-level Differentially Private Inference (DPI) mechanism that provably bounds how much an LLM's outputs reveal about sensitive tokens in its context. We demonstra…

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Wolfgang Amadeus Mozart & Armida Quartett:
🎵 String Quartet in B flat major K.172 (3rd mvt)
#WolfgangAmadeusMozart #ArmidaQuartett
https://open.spotify.com/track/0sG7UZ3veHi1o3BkNqmigG

Single photon emission from lithographically-positioned engineered nanodiamonds for cryogenic applications
Vivekanand Tiwari, Zhaojin Liu, Hao-Cheng Weng, Krishna C Balram, John G Rarity, Soumen Mandal, Oliver A Williams, Gavin W Morley, Joe A Smith
https://arxiv.org/abs/2508.06424

Single photon emission from lithographically-positioned engineered nanodiamonds for cryogenic applications
Nitrogen-vacancy centres in nanodiamonds (NDs) provide a promising resource for quantum photonic systems. However, developing a technology beyond proof-of-principle physics requires optimally engineering its component parts. In this work, we present a hybrid materials platform by photolithographically positioning ball-milled isotopically-enriched NDs on broadband metal reflectors. The structure enhances the photonic collection efficiency, enabling cryogenic characterisation despite the limited …