Robohub.org
 

Brian Cox presents Science Matters: Machine learning and artificial intelligence

by
11 January 2017



share this:
machine-learning

We’re beginning to see more and more jobs being performed by machines, even creative tasks like writing music or painting can now be carried out by a computer.

But how and when will machines be able to explain themselves? Should we be worrying about an artificial intelligence taking over our world or are there bigger and more imminent challenges that advances in machine learning are presenting here and now?

Join Professor Brian Cox, the Royal Society Professor of Public Engagement, as he brings together experts on AI and machine learning to discuss key issues that will shape our future. Panelists include:


You might also enjoy the following articles about AI and AI/robotics policy:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: , , , , , , , , , ,


Robohub Editors





Related posts :



Interview with Dautzenberg Roman: #IROS2023 Best Paper Award on Mobile Manipulation sponsored by OMRON Sinic X Corp.

The award-winning author describe their work on an aerial robot which can exert large forces onto walls.
19 November 2023, by

Robot Talk Episode 62 – Jorvon Moss

In the latest episode of the Robot Talk podcast, Claire chatted to Jorvon (Odd-Jayy) Moss from Digikey about making robots at home, and robot design and aesthetics.
17 November 2023, by

California is the robotics capital of the world

In California, robotics technology is a small fish in a much bigger technology pond, and that tends to conceal how important Californian companies are to the robotics revolution.
12 November 2023, by

Robot Talk Episode 61 – Masoumeh Mansouri

In the latest episode of the Robot Talk podcast, Claire chatted to Masoumeh (Iran) Mansouri from the University of Birmingham about culturally sensitive robots and planning in complex environments.
10 November 2023, by

The 5 levels of Sustainable Robotics

Robots can solve the UN SDGs and not just via the application area.
08 November 2023, by

Using language to give robots a better grasp of an open-ended world

By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
06 November 2023, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association