I’ve recently managed to train a PPO model in Isaac Lab to make this bipedal robot walk, then distilled it until the student model was tiny enough to run successfully on the RP2040 MCU. What’s been your experience when deploying PPO on limited hardware? Any tips on balancing model size and performance when distilling? submitted by /u/mishaurus [link] [comments]
arXiv:2602.09236v1 Announce Type: new Abstract: Version control is critical in mechanical computer-aided design (CAD) to enable traceability, manage product variation, and support collaboration. Yet, its implementation in modern CAD software as an essential information infrastructure for product development remains plagued by issues due to the complexity and interdependence of design data. This paper presents a systematic review of user-reported challenges with version control in modern CAD tools. Analyzing 170 online forum threads, we identify recurring socio-technical issues that […]
arXiv:2601.07845v1 Announce Type: new Abstract: Rapid motorization in emerging economies such as India has created severe enforcement asymmetries, with over 11 million recorded violations in 2023 against a human policing density of roughly one officer per 4000 vehicles. Traditional surveillance and manual ticketing cannot scale to this magnitude, motivating the need for an autonomous, cooperative, and energy efficient edge AI perception infrastructure. This paper presents a real time roadside perception node for multi class traffic violation analytics and […]
TCL is taking majority ownership of Sony’s Bravia series of TVs, the two companies announced today. The two firms said they have signed a memorandum of understanding and aim to sign binding agreements by the end of March. Pending “relevant regulatory approvals and other conditions,” the joint venture is expected to launch in April 2027. Under a new joint venture, Huizhou, China-headquartered TCL will own 51 percent of Tokyo, Japan-headquartered Sony’s “home entertainment business,” and Sony will own […]
Mi columna de esta semana en Invertia se titula «Cuando el Estado subcontrata la inteligencia» (pdf), y trata sobre un fenómeno que avanza mucho más deprisa de lo que solemos admitir: la externalización silenciosa de decisiones públicas a sistemas tecnológicos desarrollados y operados por proveedores privados. No hablamos solo de la digitalización administrativa, sino de algo más profundo: de lo qué ocurre cuando becas, subsidios, inspecciones, evaluaciones de riesgo o asignaciones de recursos dependen de modelos algorítmicos cuya […]
arXiv:2601.08011v1 Announce Type: new Abstract: Current text-conditioned diffusion editors handle single object replacement well but struggle when a new object and a new style must be introduced simultaneously. We present Twin-Prompt Attention Blend (TP-Blend), a lightweight training-free framework that receives two separate textual prompts, one specifying a blend object and the other defining a target style, and injects both into a single denoising trajectory. TP-Blend is driven by two complementary attention processors. Cross-Attention Object Fusion (CAOF) first averages […]
Author(s): Kapardhi kannekanti Originally published on Towards AI. The fundamental flaw in modern AI architecture, and the biological “hack” to solve it. We are currently witnessing a massive misallocation of capital in Silicon Valley and beyond. We are burning billions of dollars to build bigger “statues” — massive, frozen models that know everything but can do nothing in the real world without a constant tether to a massive server farm. The fundamental shift from rigid, “crystal” AI to […]
arXiv:2601.20528v1 Announce Type: cross Abstract: We develop a fully intrinsic Bayesian framework for nonparametric regression on the unit sphere based on isotropic Gaussian field priors and the harmonic structure induced by the Laplace-Beltrami operator. Under uniform random design, the regression model admits an exact diagonalization in the spherical harmonic basis, yielding a Gaussian sequence representation with frequency-dependent multiplicities. Exploiting this structure, we derive closed-form posterior distributions, optimal spectral truncation schemes, and sharp posterior contraction rates under integrated squared […]
In recent years, wearable sensing technologies have been widely used for motion analysis in sports; however, in kendo, motion evaluation still largely relies on subjective assessment, and quantitative approaches remain limited. This study proposes an embedded Inertial Measurement Unit (IMU) based sensing system for motion analysis of kendo swings. The system integrates a compact IMU and a microcontroller within the handle of a bamboo sword (shinai), enabling unobtrusive measurement without affecting usability. To achieve robust orientation estimation under […]
Computing pairwise Wasserstein distances is a fundamental bottleneck in data analysis pipelines. Motivated by the classical Kuratowski embedding theorem, we propose two neural architectures for learning to approximate the Wasserstein-2 distance ($W_2$) from data. The first, DeepKENN, aggregates distances across all intermediate feature maps of a CNN using learnable positive weights. The second, ODE-KENN, replaces the discrete layer stack with a Neural ODE, embedding each input into the infinite-dimensional Banach space $C^1([0,1], mathbb{R}^d)$ and providing implicit regularization via […]