arXiv:2601.08987v1 Announce Type: new Abstract: This work introduces ABE-VVS, a framework that performs attribute based selective coordinate encryption for point cloud based volumetric video streaming, enabling lightweight yet effective digital rights management (DRM). Rather than encrypting entire point cloud frames, our approach encrypts only selected subsets of coordinates ($X, Y, Z$, or combinations), lowering computational overhead and latency while still producing strong visual distortion that prevents meaningful unauthorized viewing. Our experiments show that encrypting only the $X$ coordinates […]

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arXiv:2601.05364v1 Announce Type: new Abstract: Recent advancements in lightweight neural networks have significantly improved the efficiency of deploying deep learning models on edge hardware. However, most existing architectures still trade accuracy for latency, which limits their applicability on microcontroller and neural processing unit based devices. In this work, we introduce two new model families, STResNet for image classification and STYOLO for object detection, jointly optimized for accuracy, efficiency, and memory footprint on resource constrained platforms. The proposed STResNet […]

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arXiv:2601.10494v1 Announce Type: new Abstract: With grid operators confronting rising uncertainty from renewable integration and a broader push toward electrification, Demand-Side Management (DSM) — particularly Demand Response (DR) — has attracted significant attention as a cost-effective mechanism for balancing modern electricity systems. Unprecedented volumes of consumption data from a continuing global deployment of smart meters enable consumer segmentation based on real usage behaviours, promising to inform the design of more effective DSM and DR programs. However, existing clustering-based […]

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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 Long Now of the Web: Inside the Internet Archive’s Fight Against Forgetting By @zbruceli [ 18 Min read ] A deep dive into the Internet Archive’s custom tech stack. Read More. The SEPA Instant Deadlines Have Passed. But Did Europe Really Go Instant? […]

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A founder recently asked me how to stop caring what other people think. I didn’t have an answer, and after reflecting on it more, I think it’s the wrong question. Almost everyone cares what someone thinks (though caring what everyone thinks is definitely a mistake), and it’s probably important. Caring too much makes you a sheep. But you need to be at least a little in tune with others to do something useful for them. It seems like […]

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For years, markets were trained to react to loud signals. Rate hikes, stimulus announcements, earnings surprises, geopolitical shocks — anything visible, quantifiable, and immediate shaped expectations and positioning. But the environment we are entering looks very different. Many of the forces shaping economic outcomes today are quiet, gradual, and difficult to price. They do not arrive as breaking news. They accumulate. And because they lack drama, they are often underestimated until their effects become unavoidable. This shift helps […]

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arXiv:2601.05459v1 Announce Type: new Abstract: Large Language Models (LLMs) demonstrate strong reasoning and self-correction abilities in high-resource languages like English, but their performance remains limited in low-resource languages such as Korean. In this study, we investigate whether reinforcement learning (RL) can enhance Korean reasoning abilities to a degree comparable to English. Our findings reveal that RL alone yields limited improvements when applied to models lacking inherent Korean reasoning capabilities. To address this, we explore several fine-tuning strategies and […]

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This is a different kind of post. Less philosophy, more mud and conduit. My partner and I are building a thing in the woods behind our house. It’s called Orpheus — an autonomous research station that monitors wildlife, identifies bird species, tracks corvid vocalizations, counts visitors, makes pretty charts, monitors the weather, and eventually talks back. The hardware: an NVIDIA Jetson Orin NX, four cameras, four research-grade microphones, a hand-built weatherproof enclosure, and a 12-foot mast in Clare […]

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Audio is a fundamental modality for analyzing speech, music, and environmental sounds. Although pretrained audio models have significantly advanced audio understanding, they remain fragile in real-world settings where data distributions shift over time. In this work, we present the first systematic benchmark for audio continual learning (CL) with pretrained models (PTMs), together with a comprehensive analysis of its unique challenges. Unlike in vision, where parameter-efficient fine-tuning (PEFT) has proven effective for CL, directly transferring such strategies to audio […]

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Reading through the release notes for the 397B-A17B model. The active parameter count is incredibly low for its overall size. Do you guys think this specific MoE routing is a major breakthrough for open source, or is it just a natural, incremental step up from what we already had? submitted by /u/astrophile_ashish [link] [comments]

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