Tag: robotics

Industrial AI

AI Is Making Robots More Fun

The market size of physical and interactive social and entertainment robots is expected to hit US$3.7 billion by 2023.

AI Computer Vision & Graphics Machine Learning & Data Science

CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method ‘FrankMocap’

Researchers from The Chinese University of Hong Kong, Facebook Reality Labs, and Facebook AI Research have unveiled a state-of-the-art monocular 3D hand motion capture method, FrankMocap, which can estimate both 3D hand and body motions from in-the-wild monocular inputs with faster speed and better accuracy than previous approaches.

AI

Robots Vs Robocalls

Robots pitching politics, charities, sales, surveys, and scams of every stripe and in every tongue. Increasingly that’s the voice on the other end of a global citizen’s next incoming telephone call.

AI Research United States

After Mastering Go and StarCraft, DeepMind Takes on Soccer

Having notched impressive victories over human professionals in Go, Atari Games, and most recently StarCraft 2 — Google’s DeepMind team has now turned its formidable research efforts to soccer. In a paper released last week, the UK AI company demonstrates a novel machine learning method that trains a team of AI agents to play a simulated version of “the beautiful game.”

AI

2018 in Review: 10 AI Failures

Last December Synced compiled its first “Artificial Intelligence Failures” recap of AI gaffes from the previous year. AI has achieved remarkable progress, and many scientists dream of creating the Master Algorithm proposed by Pedro Domingos — which can solve all problems envisioned by humans.

AI Research

Get a Grip! Berkeley Targets Dexterous Manipulation Using Deep RL

UC Berkeley researchers have published a paper demonstrating how Deep Reinforcement Learning can be used to control dexterous robot hands for complicated tasks. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations proposes a low-cost and high-efficiency control method that uses demonstration and simulation techniques to accelerate the learning process.