机器之心海外团队作者

Synced Global AI Weekly | 2018.6.30-7.6

Robotic Innovations of This Week!

“Blind” Cheetah 3 robot can climb stairs littered with obstacles 

MIT's Cheetah 3 robot can now leap and gallop across rough terrain, climb a staircase littered with debris, and quickly recover its balance when suddenly yanked or shoved, all while essentially blind...

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IEEE Robotics and Automation Award Recipients

Congratulations to Tao Wang and Zexiang Li, from DJI Global, for contributions to the development and commercialization of civilian drones, aerial imaging technology, robotics engineering advancement, innovation, and entrepreneurship...

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Personalized "Deep Learning" Equips Robots for Autism Therapy

Children with autism spectrum conditions often have trouble recognizing the emotional states of people around them — distinguishing a happy face from a fearful face, for instance. To remedy this, some therapists use a kid-friendly robot to demonstrate those emotions...

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Robotic Innovations from ETH Zurich Autonomous System Laboratory 

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.

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Technology

Learning Montezuma's Revenge from a Single Demonstration

We've trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. 

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Capture the Flag: the Emergence of Complex Cooerperative Agents

Now, through new developments in reinforcement learning, our agents have achieved human-level performance in Quake III Arena Capture the Flag, a complex multi-agent environment and one of the canonical 3D first-person multiplayer games. 

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Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision 

In this paper, we propose the Task-Oriented Grasping Network to jointly optimize both task-oriented grasping of a tool and the manipulation policy for that tool. The training process of the model is based on largescale simulated self-supervision with procedurally generated tool objects.

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You May Also Like...

New Chips, L4 Autonomous Bus & Baidu Brain 3.0 Showcased at Baidu Create 2018

At the Baidu Create 2018 AI developer conference which kicked off today in Beijing, the company announced a series of AI-based innovations and product releases that seem designed to regain public trust.

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China Has 4,040 AI Companies; Beijing Drives Industry Development

China now has some 4,040 AI companies, according to a whitepaper released by the Beijing Municipal Commission of Economy and Information Technology at this weekend’s 22nd China International Software EXPO in Beijing.

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Global AI Events

8-12 Jul
9-11 Jul
SIGIR Detroit, USA.
Applied AI SummitLondon, UK.
10-11 JulMobile BeatSan Francisco, USA.
10-12 JulComputing ConferenceLondon, UK.
10-15 JulICMLStockholm, Sweden.
13–19 JulIJCAI-ECAIStockholm, Sweden.

Global AI Opportunities

Cape Analystics needs Machine Learning Specialist - Deep Learning and Software Engineer in Munich, Germany and Mountain View, CA.

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SparkCognition is looking for Data Scientist - Computer Vision/Autonomy/Security to join in their R&D Lab in Austin, TX.

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Twiggle is hiring NLP Engineer, Algorithm Engineer, Knowledge Engineer and Software Engineer in Tel Aviv, New York.

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ZestFinance wants Data Scientist (specialized in machine learning) and Machine Learning Engineer in Pittsburgh and Los Angeles. 

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NewsLetter
相关数据
机器学习技术

机器学习是人工智能的一个分支,是一门多领域交叉学科,涉及概率论、统计学、逼近论、凸分析、计算复杂性理论等多门学科。机器学习理论主要是设计和分析一些让计算机可以自动“学习”的算法。因为学习算法中涉及了大量的统计学理论,机器学习与推断统计学联系尤为密切,也被称为统计学习理论。算法设计方面,机器学习理论关注可以实现的,行之有效的学习算法。

计算机视觉技术

计算机视觉(CV)是指机器感知环境的能力。这一技术类别中的经典任务有图像形成、图像处理、图像提取和图像的三维推理。目标识别和面部识别也是很重要的研究领域。

机器人技术技术

机器人学(Robotics)研究的是「机器人的设计、制造、运作和应用,以及控制它们的计算机系统、传感反馈和信息处理」 [25] 。 机器人可以分成两大类:固定机器人和移动机器人。固定机器人通常被用于工业生产(比如用于装配线)。常见的移动机器人应用有货运机器人、空中机器人和自动载具。机器人需要不同部件和系统的协作才能实现最优的作业。其中在硬件上包含传感器、反应器和控制器;另外还有能够实现感知能力的软件,比如定位、地图测绘和目标识别。之前章节中提及的技术都可以在机器人上得到应用和集成,这也是人工智能领域最早的终极目标之一。

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