I am an academic that partnered with a software engineer to productionize some of my ideas. I thought it might be of interest to the community here. Link to Project: https://huggingface.co/spaces/durinn/dowser Here is a link to a proof-of-concept on Huggingface trying to develop the idea further. It is effectively a reccomender system for open source datasets. It doesn’t have a GPU runtime, so please be patient with it. Link to Abstract: https://openreview.net/forum?id=dNHKpZdrL1#discussion This is a link to the […]

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arXiv:2601.02412v1 Announce Type: new Abstract: Recommender systems shape online interactions by matching users with creators content to maximize engagement. Creators, in turn, adapt their content to align with users preferences and enhance their popularity. At the same time, users preferences evolve under the influence of both suggested content from the recommender system and content shared within their social circles. This feedback loop generates a complex interplay between users, creators, and recommender algorithms, which is the key cause of […]

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When you purchase a hardware wallet to secure your cryptocurrency holdings, you expect that transaction to remain as secure as your digital assets. But what happens when the weakest link isn’t the wallet itself, but the companies processing your purchase? Ledger, one of the cryptocurrency industry’s most recognized hardware wallet providers, faces another security challenge. This time, the breach didn’t target Ledger’s infrastructure directly. Instead, unauthorized parties accessed customer data through Global-e, a third-party e-commerce payment processor handling […]

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arXiv:2601.02361v1 Announce Type: new Abstract: The ranking stage serves as the central optimization and allocation hub in advertising systems, governing economic value distribution through eCPM and orchestrating the user-centric blending of organic and advertising content. Prevailing ranking models often rely on fragmented modules and hand-crafted features, limiting their ability to interpret complex user intent. This challenge is further amplified in location-based services such as food delivery, where user decisions are shaped by dynamic spatial, temporal, and individual contexts. […]

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arXiv:2601.00904v1 Announce Type: cross Abstract: Blind source separation, particularly through independent component analysis (ICA), is widely utilized across various signal processing domains for disentangling underlying components from observed mixed signals, owing to its fully data-driven nature that minimizes reliance on prior assumptions. However, conventional ICA methods rely on an assumption of linear mixing, limiting their ability to capture complex nonlinear relationships and to maintain robustness in noisy environments. In this work, we present deep deterministic nonlinear independent component […]

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Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this on newer hardware, but what about the millions of RTX 30 and 20 series GPUs already deployed? Feather demonstrates that software-based FP8 emulation through bitwise packing can achieve near-theoretical 4x bandwidth improvements (3.3x measured), making efficient deep learning accessible without expensive hardware upgrades The post Breaking the Hardware Barrier: Software FP8 for Older GPUs appeared first on Towards […]

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arXiv:2601.00003v1 Announce Type: new Abstract: Large language models (LLMs) typically enhance their performance through either the retrieval of semantically similar information or the improvement of their reasoning capabilities. However, a significant challenge remains in effectively integrating both retrieval and reasoning strategies to optimize LLM performance. In this paper, we introduce a reasoning-aware knowledge retrieval method that enriches LLMs with information aligned to the logical structure of conversations, moving beyond surface-level semantic similarity. We follow a coarse-to-fine approach for […]

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Don’t let “sales debt” hold your company back.

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arXiv:2601.04222v1 Announce Type: new Abstract: Many documentaries on early house and techno music exist. Here, protagonists from the scenes describe key elements and events that affected the evolution of the music. In the research community, there is consensus that such descriptions have to be examined critically. Yet, there have not been attempts to validate such statements on the basis of audio analyses. In this study, over 9,000 early house and techno tracks from Germany and the United States […]

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