Intel launches ‘GO’ brand for self-driving car tech | Fortune

by Alex Kirkpatrick

05 January 2017

share this:

The Intel GO brand, which was announced at CES in Las Vegas, includes a series of hardware and software development kits to help developers and engineers test and improve autonomous driving applications. Intel GO’s platform will take sensor data from cameras or radars on the vehicle and combine them with high-definition maps and artificial intelligence to determine the path the car is going to take, Doug Davis, senior vice president, of Intel Automated Driving Group, explained.

Click here to read the full article.

Alex Kirkpatrick is a passionate writer and science communicator...

New imaging method makes tiny robots visible in the body

Microrobots have the potential to revolutionize medicine. Researchers at the Max Planck ETH Centre for Learning Systems have now developed an imaging technique that for the first time recognises cell-sized microrobots individually and at high resolution in a living organism.

20 May 2022, by ETH Zurich

A draft open standard for an Ethical Black Box

Within the RoboTIPS project, we have developed and tested several model of Ethical Black Boxes, including one for an e-puck robot, and another for the MIRO robot.

19 May 2022, by Alan Winfield

Unable to attend #ICRA2022 for accessibility issues? Or just curious to see robots?

There are many things that can make it difficult to attend an in person conference in the United States and so the ICRA Organizing Committee, the IEEE Robotics and Automation Society and OhmniLabs would like to help you attend ICRA virtually.

17 May 2022, by Silicon Valley Robotics

ep.

350

podcast

Duckietown Competition Spotlight, with Dr Liam Paull

Dr. Liam Paull, cofounder of the Duckietown competition talks about the only robotics competition where Rubber Duckies are the passengers on an autonomous driving track.

17 May 2022, by Abate De Mey

Designing societally beneficial Reinforcement Learning (RL) systems

In this post, we aim to illustrate the different modalities harms can take when augmented with the temporal axis of RL. To combat these novel societal risks, we also propose a new kind of documentation for dynamic Machine Learning systems which aims to assess and monitor these risks both before and after deployment.

15 May 2022, by BAIR Blog

Innovative ‘smart socks’ could help millions living with dementia

‘Smart socks’ that track rising distress in the wearer could improve the wellbeing of millions of people with dementia, non-verbal autism and other conditions that affect communication.

13 May 2022, by University of Bristol