When I wrote about a DIY ESP32-S3 internet radio last week, "raspbeguy" commented he'd rather choose an ESP32-based DIY DAB+ ...
Using a computer-generated random sequence, participants were randomly assigned (1:1:1) to receive traditional education (control), AI-assisted education using physician voice cloning, or AI-assisted ...
A.T.L.A.S achieves 74.6% LiveCodeBench pass@1-v(k=3) with a frozen Qwen3-14B model on a single consumer GPU — up from 36-41% in V2 — through constraint-driven generation and self-verified iterative ...
Abstract: WiFi devices are ubiquitous in modern environments, from smartphones and laptops to IoT sensors and AR/VR headsets. Identifying device types/models within these populations enables crowd ...
In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that lets us switch between a 27B GGUF variant and a lightweight 2B 4-bit ...
For developers using AI, “vibe coding” right now comes down to babysitting every action or risking letting the model run unchecked. Anthropic says its latest update to Claude aims to eliminate that ...
The research preview is currently limited to macOS devices. The research preview is currently limited to macOS devices. is a news writer focused on creative industries, computing, and internet ...
A Chinese laboratory has reportedly demonstrated the control of a humanoid robot via space-based computing. The experiment was conducted by GuoXing Aerospace Technology and Shanghai Jiao Tong ...
Advanced perception and reasoning software enable safe humanoid navigation in real-world environments.RealSense A US computer vision firm presented its role in making humanoid robots safer and more ...
Oil spills are a major source of marine pollution, threatening wildlife, contaminating coastlines, and incurring high economic costs. In response, engineers in Australia have developed a robotic ...
Reinforcement Learning-Based Whole-Body Motion Control for Humanoids With Position-Controlled Joints
Abstract: Reinforcement learning (RL) holds great promise for generating dynamic whole-body motions on humanoid robots, but its real-world application is hindered by the significant sim-to-real gap ...
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