Tootfinder

🇺🇦 #NowPlaying on KEXP's #PacificNotions
Noel Brass Jr.:
🎵 In This Light
#NoelBrassJr
https://noelbrassjr.bandcamp.com/track/in-this-light

🇺🇦 Auf radioeins läuft...
Nilüfer Yanya:
🎵 Cold Heart
#NowPlaying #NilüferYanya
https://niluferyanya.bandcamp.com/track/cold-heart
https://open.spotify.com/track/5WRdonm8caliL2JA6fT2fL

from my link log —
Luhn credit card checksum using SWAR and SIMD.
https://nullprogram.com/blog/2022/04/30/
saved 2022-04-30 https://

Day eight of my road trip and a driving day from Nullabor Roadhouse, SA to Cocklebiddy Roadhouse, WA. Had to go through the quarantine search at the border. Great sunrise over the Nullabor weather station. #RoadTrip

Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach
Siamak Farshidi, Amir Saberhabibi, Behbod Eskafi, Niloofar Nikfarjam, Sadegh Eskandari, Slinger Jansen, Michel Chaudron, Bedir Tekinerdogan
https://arxiv.org/abs/2508.05693

Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach
Selecting third-party software packages in open-source ecosystems like Python is challenging due to the large number of alternatives and limited transparent evidence for comparison. Generative AI tools are increasingly used in development workflows, but their suggestions often overlook dependency evaluation, emphasize popularity over suitability, and lack reproducibility. This creates risks for projects that require transparency, long-term reliability, maintainability, and informed architectura…

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
Michele Polese, Niloofar Mohamadi, Salvatore D'Oro, Tommaso Melodia
https://arxiv.org/abs/2507.06911

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
The proliferation of data-intensive Artificial Intelligence (AI) applications at the network edge demands a fundamental shift in RAN design, from merely consuming AI for network optimization, to actively enabling distributed AI workloads. This paradigm shift presents a significant opportunity for network operators to monetize AI at the edge while leveraging existing infrastructure investments. To realize this vision, this article presents a novel converged O-RAN and AI-RAN architecture that uni…

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity
Niloofar Asefi, Leonard Lupin-Jimenez, Tianning Wu, Ruoying He, Ashesh Chattopadhyay
https://arxiv.org/abs/2507.06479

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions. This sparsity poses significant challenges for forecasting key phenomena such as eddy shedding and rogue waves. Traditional data assimilation methods and deep learning models often struggle to recover mesoscale turbulence under such constraints. We leverage a deep learning framework that combines neural…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Nilüfer Yanya:
🎵 Where to Look
#NilüferYanya
https://niluferyanya.bandcamp.com/track/where-to-look
https://open.spotify.com/track/6fp01DAoqsZNyTwZidZ74I

🇺🇦 Auf radioeins läuft...
Nilüfer Yanya:
🎵 Kneel
#NowPlaying #NilüferYanya
https://niluferyanya.bandcamp.com/track/kneel
https://open.spotify.com/track/3zHlu8zTCOQ2R6nobGogKJ

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Nilüfer Yanya:
🎵 Cold Heart
#NilüferYanya
https://niluferyanya.bandcamp.com/track/cold-heart
https://open.spotify.com/track/5WRdonm8caliL2JA6fT2fL