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NVIDIA Announces RAPIDS, Medical Image Application, and a Driving Simulator for Autonomous Vehicles.

by Roland Meertens Follow 8 Followers on  Oct 10, 2018

Today Jensen Huang, CEO of NVIDIA, gave a keynote at the GPU Technology Conference 2018 in Munich. He announced RAPIDS, an open-source CUDA accelerated toolkit that can help data scientists to faster process their data. They announced a partnership to work on medical imaging. They announced a self-driving car simulator that car manufacturers can use for verification of autonomous vehicles.

Emerging Technologies Follow 67 Followers

Major Automakers Aim to Bring Blockchain to Cars

by Sergio De Simone Follow 18 Followers on  May 03, 2018

Launched by four of some of the major automakers worldwide and a number of other companies, the Mobility Open Blockchain Initiative (MOBI) focuses on speeding up Blockchain adoption for mobility applications, from payments to ride-sharing and autonomous vehicles.

AI, ML & Data Engineering Follow 1002 Followers

Baidu Release Huge Dataset "ApolloScape" for Autonomous Vehicle Research

by Alexis Perrier Follow 1 Followers on  Mar 30, 2018

Baidu, the Chinese internet giant, has released ApolloScape, a massive data-set for autonomous vehicle simulation and research. ApolloScape is an order of magnitude more complex than similar open data-sets. It is part of Apollo, Baidu's vehicle simulation and hardware platform. With this release, Baidu strengthens its position in the automated driving sector.

AI, ML & Data Engineering Follow 1002 Followers

Autonomous Vehicles Became Better at Predicting Lane-Changes

by Roland Meertens Follow 8 Followers on  Feb 07, 2018

Researchers created an algorithm that allows self-driving cars to predict lane-changes of the surrounding cars. The system works by using a deep-learning technique called Long Short-Term Memories (LSTMs). Although the most likely scenario on the highway is that every car stays in its own lane, their algorithm was able to slightly improve on this baseline prediction.

AI, ML & Data Engineering Follow 1002 Followers

How Apple Uses Neural Networks for Object Detection in Point Clouds

by Roland Meertens Follow 8 Followers on  Nov 28, 2017

Apple invented a neural network configuration that can segmentate objects in point clouds obtained with a LIDAR sensor. Recently Apple joined the field of autonomous vehicles. Apple has now created an end-to-end neural network to segmentate objects in point clouds. This approach does not rely on any hand-crafted features or other machine learning algorithms other than neural networks.

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