arXiv:2602.15092v1 Announce Type: new Abstract: Supernumerary robotic limbs (SLs) have the potential to transform a wide range of human activities, yet their usability remains limited by key technical challenges, particularly in ensuring safety and achieving versatile control. Here, we address the critical problem of maintaining balance in the human-SLs system, a prerequisite for safe and comfortable augmentation tasks. Unlike previous approaches that developed SLs specifically for stability support, we propose a general framework for preserving balance with SLs […]

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arXiv:2602.15861v1 Announce Type: new Abstract: Text analysis of tabular data relies on two core operations: emph{summarization} for corpus-level theme extraction and emph{tagging} for row-level labeling. A critical limitation of employing large language models (LLMs) for these tasks is their inability to meet the high standards of output stability demanded by data analytics. To address this challenge, we introduce textbf{CAST} (textbf{C}onsistency via textbf{A}lgorithmic Prompting and textbf{S}table textbf{T}hinking), a framework that enhances output stability by constraining the model’s latent reasoning […]

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arXiv:2603.01588v1 Announce Type: cross Abstract: Due to their efficiency and small size, decision trees and random forests are popular machine learning models used for classification on resource-constrained systems. In such systems, the available execution time for inference in a random forest might not be sufficient for a complete model execution. Ideally, the already gained prediction confidence should be retained. An anytime algorithm is designed to be able to be aborted anytime, while giving a result with an increasing […]

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Elon Musk’s AI company xAI has launched two standalone audio APIs — a Speech-to-Text (STT) API and a Text-to-Speech (TTS) API — both built on the same infrastructure that powers Grok Voice on mobile apps, Tesla vehicles, and Starlink customer support. The release moves xAI squarely into the competitive speech API market currently occupied by ElevenLabs, Deepgram, and AssemblyAI. What Is the Grok Speech-to-Text API? Speech-to-Text is the technology that converts spoken audio into written text. For developers […]

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Yesterday I ran across the following mashup by Amy Swearer of a Polish proverb and the Serenity Prayer. Lord, grant me the serenity to accept when it’s no longer my circus, the courage to control the monkeys that are still mine, and the wisdom to know the difference. The proverb is “Nie mój cyrk, nie moje małpy,” literally “Not my circus, not my monkeys”. The post Polish serenity first appeared on John D. Cook.

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In the current landscape of computer vision, the standard operating procedure involves a modular ‘Lego-brick’ approach: a pre-trained vision encoder for feature extraction paired with a separate decoder for task prediction. While effective, this architectural separation complicates scaling and bottlenecks the interaction between language and vision. The Technology Innovation Institute (TII) research team is challenging this paradigm with Falcon Perception, a 600M-parameter unified dense Transformer. By processing image patches and text tokens in a shared parameter space from […]

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arXiv:2601.11420v1 Announce Type: cross Abstract: Robustness under perturbation and contamination is a prominent issue in statistical learning. We address the robust nonlinear regression based on the so-called interval conditional value-at-risk (In-CVaR), which is introduced to enhance robustness by trimming extreme losses. While recent literature shows that the In-CVaR based statistical learning exhibits superior robustness performance than classical robust regression models, its theoretical robustness analysis for nonlinear regression remains largely unexplored. We rigorously quantify robustness under contamination, with a […]

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arXiv:2601.02396v1 Announce Type: new Abstract: Recent advances in satellite technology have introduced a new frontier of wireless networking by establishing Low Earth Orbit (LEO) Satellite networks that work to connect difficult to reach areas and improve global connectivity. These novel advancements lack robust open-source simulation models that can highlight potential bottlenecks or potential wasted resources, wasting terrestrial users and the companies that provide these networks time and money. To that end, we propose SLASh, a highly-customizable satellite network […]

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