arXiv:2601.21170v2 Announce Type: replace-cross Abstract: Emergent phenomena — onset of epileptic seizures, sudden customer churn, or pandemic outbreaks — often arise from hidden causal interactions in complex systems. We propose a machine learning method for their early detection that addresses a core challenge: unveiling and harnessing a system’s latent causal structure despite the data-generating process being unknown and partially observed. The method learns an optimal feature representation from a one-parameter family of estimators — powers of the empirical […]

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arXiv:2603.00606v1 Announce Type: new Abstract: Accurate 3D hand pose and pressure sensing is essential for immersive human-computer interaction, yet simultaneously achieving both in mobile scenarios remains a significant challenge. We present WristPP, a camera-based wrist-worn system that estimates 3D hand pose and per-vertex pressure from a single wide-FOV RGB frame in real time. A Vision Transformer (ViT) backbone with joint-aligned tokens predicts Hand-VQVAE codebook indices for mesh recovery, while an extrinsics-conditioned branch jointly estimates per-vertex pressure. On a […]

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arXiv:2602.04971v1 Announce Type: new Abstract: In this work, we study multi-sensor scheduling for remote state estimation over wireless multiple-input multiple-output (MIMO) fading channels using a novel semantic over-the-air (SemOTA) aggregation approach. We first revisit Kalman filtering with conventional over-the-air (OTA) aggregation and highlight its transmit power limitations. To balance power efficiency and estimation performance, we formulate the scheduling task as a finite-horizon dynamic programming (DP) problem. By analyzing the structure of the optimal Q-function, we show that the […]

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Before I got a laptop, I used to work on my phone with a keyboard connected via an OTG. It wasn’t a fancy phone – just a Galaxy J2 with a micro-USB port. I used a membrane keyboard with a cheap $0.4 OTG adapter, but it got the job done. I put the savings towards a laptop and once I bought my first laptop, forgot all about that OTG hack I was using. Fast forward to 2026 – […]

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arXiv:2602.12433v1 Announce Type: new Abstract: Homomorphic encryption (HE) is a promising technology for confidential cloud computing, as it allows computations on encrypted data. However, HE is computationally expensive and often memory-bound on conventional computer architectures. Processing-in-Memory (PIM) is an alternative hardware architecture that integrates processing units and memory on the same chip or memory module. PIM enables higher memory bandwidth than conventional architectures and could thus be suitable for accelerating HE. In this work, we present DRAMatic, which […]

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arXiv:2603.08740v1 Announce Type: new Abstract: Deep learning (DL) has emerged as a rapidly developing advanced technology, enabling the performance of complex tasks involving image recognition, natural language processing, and autonomous decision-making with high levels of accuracy. However, as these technologies evolve and strive to meet the growing demands of real-life applications, the complexity of DL models continues to increase. These models require processing of massive volumes of data, demanding substantial computational power and memory bandwidth. This gives rise […]

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arXiv:2602.22365v1 Announce Type: new Abstract: Crowdsourcing platforms face a four-way tension between allocation quality, workforce sustainability, operational feasibility, and strategic contractor behaviour–a dilemma we formalise as the Cold-Start, Burnout, Utilisation, and Strategic Agency Dilemma. Existing methods resolve at most two of these tensions simultaneously: greedy heuristics and multi-criteria decision making (MCDM) methods achieve Day-1 quality but cause catastrophic burnout, while bandit algorithms eliminate burnout only through operationally infeasible 100% workforce utilisation.To address this, we introduce FORGE, a physics-grounded […]

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As cryptocurrency adoption accelerates globally, the gap between traditional finance and Web3 remains one of the industry’s most persistent challenges. While blockchain infrastructure has matured dramatically, the simple act of converting fiat to crypto and back continues to create friction for millions of users and businesses. Ramp Network has spent eight years addressing this fundamental problem, building the financial pipes that connect 150+ countries to the crypto economy. In this interview, we sit down with Przemek Kowalczyk, co-founder […]

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Neural contextual bandits are vulnerable to adversarial attacks, where subtle perturbations to rewards, actions, or contexts induce suboptimal decisions. We introduce AdvBandit, a black-box adaptive attack that formulates context poisoning as a continuous-armed bandit problem, enabling the attacker to jointly learn and exploit the victim’s evolving policy. The attacker requires no access to the victim’s internal parameters, reward function, or gradient information; instead, it constructs a surrogate model using a maximum-entropy inverse reinforcement learning module from observed context-action […]

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