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N.B.A. Finals Introduce Music by Nicholas Britell and Nas
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"Ni\~nas At\'omicas" (Atomic Girls): An initiative that generates opportunities for young girls in STEM
arXiv:2511.05754v3 Announce Type: replace Abstract: We report on an initiative that seeks to encourage high school girls to develop critical thinking and transferable skills widely used in scientific work, as well as to generate a concrete space of opportunities for girls to experience how real science is done. Our "Ni\~nas At\'omicas" workshop combines the teaching of particle physics, electronics, programming and scientific methodology through building and operating a dedicated experiment:...
Nas: Stokes got it wrong but it's not a sackable offence
Ben Stokes: Nasser Hussain urges former captain not to make 'emotional decision' after dropping Wednesday 10 June 2026 18:12, UK Please use Chrome browser for a more accessible video player Nasser Hussain has urged former skipper Ben Stokes not to make an 'emotional decision' after being dropped from the England side following an incident at a nightclub on Monday morning .
"Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard
Announce Type: new Abstract: Several of the world's languages are still under-resourced in terms of Natural Language Processing (NLP) tools. This is mostly due to the lack of high-quality datasets to train, develop, and evaluate systems and models for several tasks, such as Machine Translation (MT). We conduct a manual audit of the parallel and monolingual corpora available for Lombard, an under-resourced language continuum from Italy.
elasticAI.explorer: Towards a Unified End-to-End Framework for Hardware-Aware Neural Architecture Search
Announce Type: replace Abstract: Neural Architecture Search (NAS) has become an important approach for automatically designing neural networks under task-specific and hardware-specific constraints. However, many existing NAS frameworks tightly couple search space definitions, model implementations, and deployment pipelines, making extension to new hardware platforms and custom operators difficult. In this paper, we present the elasticAI.explorer, an extensible Python framework for...
Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring
arXiv:2605.29852v2 Announce Type: replace Abstract: Histological scoring is essential for diagnosing Non-Alcoholic Fatty Liver Disease (NAFLD), yet its automation remains challenging due to the high annotation cost and negative transfer among the strongly correlated NAFLD Activity Score (NAS) indicators in multi-task learning. To address this issue, we propose a subspace-decoupled multi-task Vision Transformer (ViT) that integrates lightweight task-specific Adapters with orthogonality-based...
Surrogate Neural Architecture Codesign Package (SNAC-Pack)
arXiv:2605.16138v2 Announce Type: replace Abstract: Neural architecture search (NAS) is a powerful approach for automating model design, but existing methods often optimize for accuracy alone or rely on proxy metrics such as bit operations (BOPs) that correlate poorly with hardware cost. This gap is particularly large for FPGA deployment, where cost is dominated by a multi-dimensional budget of lookup tables, DSPs, flip-flops, BRAM, and latency. We present the Surrogate Neural Architecture...
England have 'point to prove' in New Zealand Test series
Sky Sports Cricket Podcast with Nasser Hussain and Michael Atherton Expert analysis and big-name interviews in a free weekly cricket podcast from Sky Sports - listen, download and subscribe Friday 1 May 2026 10:32, UK Former England captains and leading cricket voices Michael Atherton and Nasser Hussain discuss and debate the biggest topics in the sport on the Sky Sports Cricket Podcast. Now Sky commentators and cricket experts, Nas and Ath follow the great game in all its formats each week...
LLM Compression with Jointly Optimizing Architectural and Quantization choices
arXiv:2606.04063v1 Announce Type: new Abstract: Deploying large language models (LLMs) is challenging due to their significant memory and computational requirements. While some methods address this by developing small or tiny language models from scratch, these approaches demand extensive GPU training. Compressing pre-trained LLMs for edge devices offers a compelling alternative.
Radxa Dragon Q8B: A Laptop Cosplaying as an SBC?
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