arXiv:2601.20881v1 Announce Type: new Abstract: Lipreading, the technology of decoding spoken content from silent videos of lip movements, holds significant application value in fields such as public security. However, due to the subtle nature of articulatory gestures, existing lipreading methods often suffer from limited feature discriminability and poor generalization capabilities. To address these challenges, this paper delves into the purification of visual features from temporal, spatial, and channel dimensions. We propose a novel method named Multi-Attention Lipreading Network(MA-LipNet). […]

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The Five Levels: from Spicy Autocomplete to the Dark Factory Dan Shapiro proposes a five level model of AI-assisted programming, inspired by the five (or rather six, it’s zero-indexed) levels of driving automation. Spicy autocomplete, aka original GitHub Copilot or copying and pasting snippets from ChatGPT. The coding intern, writing unimportant snippets and boilerplate with full human review. The junior developer, pair programming with the model but still reviewing every line. The developer. Most code is generated by […]

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Table of Links Abstract and 1. Introduction Related Works 2.1 Traditional Index Selection Approaches 2.2 RL-based Index Selection Approaches Index Selection Problem Methodology 4.1 Formulation of the DRL Problem 4.2 Instance-Aware Deep Reinforcement Learning for Efficient Index Selection System Framework of IA2 5.1 Preprocessing Phase 5.2 RL Training and Application Phase Experiments 6.1 Experimental Setting 6.2 Experimental Results 6.3 End-to-End Performance Comparison 6.4 Key Insights Conclusion and Future Work, and References 5.1 Preprocessing Phase The preprocessing phase is […]

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arXiv:2601.18677v1 Announce Type: new Abstract: We investigate the detection of weak complex-valued signals immersed in non-Gaussian, range-varying interference, with emphasis on maritime radar scenarios. The proposed methodology exploits a Complex-valued Variational AutoEncoder (CVAE) trained exclusively on clutter-plus-noise to perform Out-Of-Distribution detection. By operating directly on in-phase / quadrature samples, the CVAE preserves phase and Doppler structure and is assessed in two configurations: (i) using unprocessed range profiles and (ii) after local whitening, where per-range covariance estimates are obtained […]

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Training of multimodal foundation models is currently restricted to centralized data centers containing massive, aligned datasets (e.g., image-text pairs). However, in realistic federated environments, data is often unpaired and fragmented across disjoint nodes; one node may hold sensor data, while another holds textual logs. These datasets are strictly private and share no common samples. Current federated learning (FL) methods fail in this regime, as they assume local clients possess aligned pairs or require sharing raw feature embeddings, which […]

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arXiv:2601.20080v1 Announce Type: new Abstract: Finding a particular object in a display is important for viewers in many visualizations, for example, when reacting to brushing or to a highlighted object. This can be enabled by making the target object different in one of the visual variables that determine the object’s appearance; for example, by changing its color or size. Certain interpretations of the visual search literature have promoted the view that using visual variables such as hue-often labeled […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Hidden Cost of AI: Why It’s Making Workers Smarter, but Organisations Dumber By @yuliiaharkusha [ 8 Min read ] AI boosts individual performance but weakens organisational thinking. Why smarter workers and faster tools can leave companies less intelligent than before. Read More. Why […]

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Bernard Widrow passed away recently. I took his neural networks and signal processing courses at Stanford in the early 2000s, and later interacted with him again years after. I’m writing down a few recollections, mostly technical and classroom-related, while they are still clear. One thing that still strikes me is how complete his view of neural networks already was decades ago. In his classes, neural nets were not presented as a speculative idea or a future promise, but […]

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arXiv:2601.09733v1 Announce Type: new Abstract: The construction of Supervised Fine-Tuning (SFT) datasets is a critical yet under-theorized stage in the post-training of Large Language Models (LLMs), as prevalent practices often rely on heuristic aggregation without a systematic understanding of how individual samples contribute to model performance. In this report, we propose a paradigm shift from ad-hoc curation to a closed-loop dataset engineering framework using OpenDataArena (ODA), which leverages value-anchored rankings and multi-dimensional analysis to transform value benchmarking into […]

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