Robohub.org
 

“Deep learning is the most fundamental advance in AI research since AI started in 1956”


by
14 July 2016



share this:
Screenshot from presentation about deep learning we may use everyday. Source: Frank Chen, with Andreessen Horowitz

Screenshot from presentation about deep learning we may use everyday. Source: Frank Chen, with Andreessen Horowitz

Frank Chen, a partner at Andreessen Horowitz, the Silicon Valley venture capital and private equity firm, said, “It is absolutely non-controversial that deep learning is the most fundamental advance in AI research since the start [of A.I.] in 1956.”

In the 45-minute podcast primer shown below – a worthwhile investment of your time – he went on to say:

“We [Andreessen Horowitz] think AI and deep learning can be a fundamental and technology platform shift as mobile and cloud have been in the last 5-10 years … All the serious applications from here on out need to have deep learning and AI inside in exactly the same way that all serious computing systems needed to have Intel chips inside of them. I think now about the startups that we see, that deep learning needs to be inside these new systems as a fundamental technique that we expect to see in all serious applications moving forward.”

Enjoy. It’s an informative primer.



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.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

A mini robot to simplify dental treatment

  24 Jul 2026
Researchers have developed a miniature dental robot that could one day automatically prepare teeth for crowns.

Pressure-free growing robots for soft medical robotics

A Q&A with the best paper award winner at RoboSoft.

Interactive world simulator for robot policy training and evaluation

  20 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

Undergrads’ weed-killing robot wins top prize

  17 Jul 2026
Their robot can travel through a vineyard or orchard without a human operator, zapping weeds with a small amount of electricity.

A flapping robot swims and flies like a diving bird

  15 Jul 2026
An aerial-aquatic vehicle developed at EPFL and MIT could lead to a new class of devices for ocean exploration.

Wristband enables wearers to control a robotic hand with their own movements

  13 Jul 2026
By moving their hands and fingers, users can direct a robot to play the piano, shoot a basketball, or manipulate objects in a virtual environment.

#RoboCup2026 social media round-up

  08 Jul 2026
Find out what the teams got up to at this year's RoboCup extravaganza in Incheon.

#RoboCup2026 – humanoid league knockout stages

  06 Jul 2026
Find out who won the small, middle and large divisions in Incheon.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence