Learning from demonstrations has emerged as a promising paradigm for end-to-end robot control, particularly when scaled to diverse and large datasets. However, the quality of demonstration data, often collected through human teleoperation, remains a critical bottleneck for effective data-driven robot learning. Human errors, operational constraints, and teleoperator variability introduce noise and suboptimal behaviors, making data curation essential yet largely manual and heuristic-driven. In this work, we propose Quality over Quantity (QoQ), a grounded and systematic approach to identifying […]

Ver mais

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. ## MongoDB vs ScyllaDB: Architecture Comparison By @scylladb [ 10 Min read ] A deep architectural comparison of MongoDB and ScyllaDB, revealing why their designs lead to very different performance and scalability. Read More. Your AI Model Isn’t Broken. Your Data Is By @melissaindia [ […]

Ver mais

arXiv:2602.23497v1 Announce Type: new Abstract: Extended Reality (XR) technologies are increasingly tested outside the lab, in homes, schools, and public spaces. While this shift enables more realistic user insights, it also introduces safety challenges that are often overlooked. Physical risks, psychological distress, and accessibility issues can be increased in field studies and unsupervised testing, such as at home or crowdsourced trials. Without clear instructions, safety decisions are left to individual researchers, raising questions of responsibility and consistency. This […]

Ver mais

Associative memory has long underpinned the design of sequential models. Beyond recall, humans reason by projecting future states and selecting goal-directed actions, a capability that modern language models increasingly require but do not natively encode. While prior work uses reinforcement learning or test-time training, planning remains external to the model architecture. We formulate reasoning as optimal control and introduce the Test-Time Control (TTC) layer, which performs finite-horizon LQR planning over latent states at inference time, represents a value […]

Ver mais

Safe navigation in complex environments remains a central challenge for reinforcement learning (RL) in robotics. This paper introduces Continuous Space-Time Empowerment for Physics-informed (C-STEP) safe RL, a novel measure of agent-centric safety tailored to deterministic, continuous domains. This measure can be used to design physics-informed intrinsic rewards by augmenting positive navigation reward functions. The reward incorporates the agents internal states (e.g., initial velocity) and forward dynamics to differentiate safe from risky behavior. By integrating C-STEP with navigation rewards, […]

Ver mais

:::info Astounding Stories of Super-Science April 2004, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE COUNTRY OF THE BLIND – XXIX. — THE MAGIC SHOP. Astounding Stories of Super-Science April 2004: THE COUNTRY OF THE BLIND – XXIX. — THE MAGIC SHOP. By H. G. Wells ::: I had seen the Magic Shop from afar several times; I had passed it once or twice, a […]

Ver mais

submitted by /u/ProgressNo2227 [link] [comments]

Ver mais

arXiv:2604.08703v1 Announce Type: new Abstract: QoS-QoE translation is a fundamental problem in multimedia systems because it characterizes how measurable system and network conditions affect user-perceived experience. Although many prior studies have examined this relationship, their findings are often developed for specific setups and remain scattered across papers, experimental settings, and reporting formats, limiting systematic reuse, cross-scenario generalization, and large-scale analysis. To address this gap, we first introduce QoS-QoE Translation dataset, a source-grounded dataset of structured QoS-QoE relationships from […]

Ver mais

Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment you move beyond plain text and start mixing in images and videos, the whole approach starts to buckle. Visual data is token-heavy, semantically sparse relative to a specific query, and grows unwieldy fast during multi-step reasoning. Researchers at Tongyi Lab, Alibaba Group introduced ‘VimRAG’, a framework built specifically to address that breakdown. The problem: linear history and compressed […]

Ver mais

Not long ago, “life hacks” meant simple tricks—like using keyboard shortcuts, keeping a to-do list, or waking up earlier to get more done. But today, the concept of life hacking is evolving. Artificial intelligence and smart digital tools are changing how we manage work, time, and information. Instead of trying to do everything ourselves, we can now use technology to handle repetitive tasks and speed up everyday processes. The result isn’t just higher productivity—it’s more time to focus […]

Ver mais