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 :



Robot Talk Episode 137 – Getting two-legged robots moving, with Oluwami Dosunmu-Ogunbi

  12 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Oluwami Dosunmu-Ogunbi from Ohio Northern University about bipedal robots that can walk and even climb stairs.

Radboud chemists are working with companies and robots on the transition from oil-based to bio-based materials

  10 Dec 2025
The search for new materials can be accelerated by using robots and AI models.

Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson

  05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.

Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.



 

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