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News

36 Kr
eu.36kr.com > en > p > 3982452698175113

Robot Supplier Quality Management: Why Can’t We Directly Copy Automotive Industry APQP & PPAP Standards?

4+ hour, 46+ min ago   (1577+ words) The problem is not that APQP and PPAP are outdated, but that the objects faced by robot quality management have changed. 1. The core of APQP is to identify risks in advance during product development and mass production preparation, and translate…...

famemagazine.co.uk
famemagazine.co.uk > lalal-ai-brings-real-time-offline-stem-separation-to-hardware

LALAL.AI Brings Real-Time Offline Stem Separation to Hardware

15+ hour, 1+ min ago   (414+ words) LALAL.AI is moving beyond browser-based audio processing with its first embedded hardware integration, bringing real-time stem separation directly to an offline device. Unveiled at IBC2026 in Amsterdam, the company’s stem-separation engine now runs natively inside Neko, a compact wireless AI…...

Medium
medium.com > @dalveer_singh > reinforcement-learning-part-14-imitation-learning-when-theres-no-reward-signal-at-all-5c67fe204a0e

Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All

6+ hour, 22+ min ago   (595+ words) Every part of this series so far assumed some reward signal exists — handed directly by the environment in Parts 1 through 5 and 8 through…Continue reading on Medium » Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All Every part…...

News On Japan
newsonjapan.com > article > 150742.php

Humanoid Robot Brings AI Into the Classroom

13+ hour, 39+ min ago   (652+ words) SHIZUOKA - High school students in Mishima, Shizuoka Prefecture, explored how humans and artificial intelligence might coexist in the future by interacting with an AI-powered humanoid robot during a class on September 11. The students met Miroki, a humanoid robot equipped with…...

X (formerly Twitter)
x.com > junfanzhu98 > article > 2099013985232355468

171. Saturday Robotics & World Models Reading Club 28: Dyna-2, Dyna Robotics. Video: New Scaling Law

21+ hour, 33+ min ago   (1708+ words) Dyna Robotics builds deployable robot foundation models. On-slide demos: kitting, circuit board assembly, box folding, package flipping The talk is organized around three questions the field still does not agree on: What is the right source of pre-training data for…...

Hackster.io
hackster.io > news > flexible-3d-printed-parts-can-now-track-their-own-movement-d9d2287e52e3

Flexible 3D-Printed Parts Can Now Track Their Own Movement

19+ hour, 23+ min ago   (437+ words) Hackster.io Please ensure that JavaScript is enabled in your browser to view this page. 3D-printed parts might bend, flex, or twist, but if you want to know exactly how they're moving, you'll need to attach some type of sensor....

The Rundown University
app.therundown.ai > community > posts > 92ca210b-9071-4fb8-899a-6bc2e3f91da1

Build a Local AI Gardening App???

1+ day, 2+ hour ago   (38+ words) Build a Local AI Gardening App With Climate Zone Tracking The Rundown AI Read the Community guidelines No comments yet. Be the first to weigh in. Personalized AI education for the future of work © 2026 The Rundown AI...

Knowridge Science Report
knowridge.com > 2026 > 09 > this-soft-shape-shifting-robot-seems-more-alive-when-it-breathes

This Soft, Shape-Shifting Robot Seems More Alive When It “Breathes”

20+ hour, 37+ min ago   (194+ words) ...

Medium
medium.com > @ayeshha2398 > motion-review-2026-i-gave-this-ai-productivity-tool-a-full-quarter-to-prove-itself-9f705fbed6a9

Motion Review 2026: I Gave This AI Productivity Tool a Full Quarter to Prove Itself

16+ hour, 47+ min ago   (223+ words) I promised to check back once Motion’s “AI SuperApp for work” ambitions met its own pricing page. A full …...

mdpi.com
mdpi.com > 2076-16/18/3417 > 9083

Applied Sciences, Vol. 16, Pages 9083: PV-STAM: Velocity-Aware Attention for Mapless Deep Reinforcement Learning Navigation in Dynamic Environments

21+ hour, 23+ min ago   (678+ words) Mapless deep reinforcement learning (DRL) navigation in dynamic indoor environments is difficult under single-frame 2D LiDAR, which reports where an obstacle is but not whether it is approaching. We introduce the Positional-Velocity Spatio-Temporal Attention Module (PV-STAM), a compact perception block (19,968 trainable…...