May 15, 2024, 8:42 p.m. |

Robotics Research News -- ScienceDaily www.sciencedaily.com

A team of researchers has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don't need heavy and large hardware and batteries. The results are extraordinary: during flight the drone's deep neural network processes data up to 64 times faster and …

autonomous autonomous robots brain brains chips control current data drone drones energy game game changer gpus graphic image image processing networks neural networks neuromorphic neuromorphic processors processing processors researchers robots running small team

More from www.sciencedaily.com / Robotics Research News -- ScienceDaily

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

Werkstudent Data Architecture & Governance (w/m/d)

@ E.ON | Essen, DE

Data Architect, Data Lake, Professional Services

@ Amazon.com | Bogota, DC, COL

Data Architect, Data Lake, Professional Services

@ Amazon.com | Buenos Aires City, Buenos Aires Autonomous City, ARG

Data Architect

@ Bitful | United States - Remote

GCP Data Architect (Presales)

@ Rackspace | India - Remote