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.





Related posts :



Robot Talk Episode 123 – Standardising robot programming, with Nick Thompson

  30 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Nick Thompson from BOW about software that makes robots easier to program.

Congratulations to the #AAMAS2025 best paper, best demo, and distinguished dissertation award winners

  29 May 2025
Find out who won the awards presented at the International Conference on Autonomous Agents and Multiagent Systems last week.

Congratulations to the #ICRA2025 best paper award winners

  27 May 2025
The winners and finalists in the different categories have been announced.

#ICRA2025 social media round-up

  23 May 2025
Find out what the participants got up to at the International Conference on Robotics & Automation.

Robot Talk Episode 122 – Bio-inspired flying robots, with Jane Pauline Ramos Ramirez

  23 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jane Pauline Ramos Ramirez from Delft University of Technology about drones that can move on land and in the air.

Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

  16 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments.

What’s coming up at #ICRA2025?

  16 May 2025
Find out what's in store at the IEEE International Conference on Robotics & Automation, which will take place from 19-23 May.

Robot see, robot do: System learns after watching how-tos

  14 May 2025
Researchers have developed a new robotic framework that allows robots to learn tasks by watching a how-to video



 

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