Robohub.org
 

Brainlike computing: Something big is happening


by
17 January 2014



share this:
state_of_AI

This infographic on the state of AI by BestComputerScienceDegrees.com doesn’t reflect the recent Nest Labs acquisition by Google. Nevertheless one can see that speedy computers and libraries of digital experiences are starting to crack human skills like information summarization and language processing. A new series of chips facilitating biological machine learning will be coming to market later this year.

According to a NY Times story, the chips will be used mostly by researchers at first and then in smart machines later.

Researchers will use the chips to further study new artificial intelligence systems that can simultaneously process their primary task and absorb new information, and adjust what is being done based on the changing signals. When combined with smart machines and machine-learned AI, as was seen last week in at CES in Las Vegas, the resulting smart machines will soon automate many tasks, redesign jobs, and do things never before possible.

The largest class at Stanford in 2013 attests to the importance of these new technologies. The class was a graduate machine-learning course covering both statistical and biological approaches to this new form of AI, taught by the computer scientist Andrew Ng. More than 760 students enrolled.

See the full info graphic:

Artificial Intelligence

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 :



#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.

AIhub coffee corner: Agentic AI

  15 Aug 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

and   25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.

#RoboCup2025: social media round-up part 2

  24 Jul 2025
Find out what participants got up to during the second half of RoboCup2025 in Salvador, Brazil.



 

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