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.”
There’s a lot more to a friendly game of Jenga than meets the eye. Strategies are informed by a complex set of tactile and visual stimuli — by touching a block and observing the tower, we not only see but also feel our actions and their consequences. The MIT Jenga robot thus marks an important step in AI’s transition to the physical world.
In the past two weeks, news related to the field of human-computer interaction and voice interaction has been focused on technology giants Amazon and Google. Amazon upgraded its Fire TV Cube and the Amazon Music system, which enhances the diversity of voice interactions.
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.
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.
Google Brain Research Scientist Ian Goodfellow has tweeted an alarm about IoT hacking of a particularly nightmarish type, after Brown University security researchers were able to remotely access and control a robot in a university research lab. The research also showed that many robotic labs worldwide may be vulnerable to such a takeover technique.
The Technical University of Munich (TUM) had lured Cheng from a Japanese research institute. At TUM he founded the Institute of Cognitive Systems (ICS). With eight employees in a central office on Karlstraße 45, Cheng set to work on his arduous task: recreating the complexities of human skin and wiring it all to a brain.
On July 10th, with German Chancellor Angela Merkel and Chinese Premier Li Keqiang looking on, Siemens AG signed a partnership agreement with Alibaba Cloud — the cloud-computing arm of Internet conglomerate Alibaba — to bring an Industrial Internet of Things (IIoT) upgrade to China’s manufacturing industry.
At the recent IEEE International Conference on Robotics and Automation (ICRA) in Brisbane, Australia, the Best Student Paper award went to ETH Zurich Autonomous Systems Laboratory (ASL)’s Miguel de la Iglesia Valls et al. for Design of an Autonomous Racecar: Perception, State Estimation and System Integration.
We tend to notice the AI that’s in our smartphones, powering our home assistants or piloting self-driving cars. But there is another tech revolution going on — out of sight for most of us — wherein AI and robotics are reinventing entire factories and industrial processes.
Suzhou-based Ecovacs Robotics debuted on the Shanghai Stock Exchange today. The floor sweeping and window cleaning robot company issued 40.1 million shares at US $3.13 per share, and plans to use the funds raised via its IPO to produce four million home service robots, build an IoT ecosystem, and expand into the global market.
Founded in 2009, SlamTech is a Shanghai-based laser sensor manufacturer whose main products include the low-cost 360-degree laser scanning ranging radar RPLiDAR, the laser-based modular autonomous positioning navigation solution SLAMWARE, and the ZEUS robot service platform for business.
Trashbot uses cameras and sensors to scan discarded items. A machine learning algorithm based on Bayesian classifier sorts the trash for either landfill or recycle. If you dump an unfinished can of Coke, excess liquid will be drained off on a Teflon-coated sheet.
We explore top-notch Swiss AI facilities: starting with deep learning and neural network research at IDSIA in Lugano, to interdisciplinary research at École Polytechnique Fédérale de Lausanne and University of Basel, and ending with robotics innovations at ETH in Zurich and University of Zurich.