Robohub.org
 

ABB invests in AI startup Vicarious


by
11 November 2014



share this:
abb-tech-ventures_800_390_80

ABB Technology Ventures, the VC arm of ABB, joins a long list of notables investing in artificial intelligence startup Vicarious Systems that include Peter Thiel, Jeff Bezos, Mark Zuckerberg, Elon Musk, Vinod Khosla and Ashton Kutcher.

Vicarious, a 2012 AI startup out of Union City, CA has raised $72 million thus far according to Crunchbase.com. The current Series C round, of which ABB was the sole investor, was $12 million (€9.6 million). Zurich-based ABB Technology Ventures said they were strategically investing in Vicarious’ research into vision, language and motor control for robotics to help ABB with machine learning, and human-robot collaboration and communication.

Vicarious is an AI company that uses the computational principles of the brain to build software that can think and learn like a human, and says its algorithms are aimed at achieving “human-level intelligence in vision, language, and motor control.” Vicarious also says that it has been focusing first on visual perception to interpret the contents of photographs and videos. In October, 2013 Vicarious used its vision algorithms to solve login captchas with an accuracy of 90%.

“Using inductive biases drawn from neuroscience, our system requires orders of magnitude less training data than traditional machine learning techniques. Our underlying framework combines advantages of deep architectures and generative probabilistic models.” From the Vicarious website.



tags: ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.





Related posts :



Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.

AI can be a powerful tool for scientists. But it can also fuel research misconduct

  31 Mar 2025
While AI is allowing scientists to make technological breakthroughs, there’s also a darker side to the use of AI in science: scientific misconduct is on the rise.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence