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Dataflow Accelerator Architecture for Autonomous Machine Computing
Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing.
Rise of the Autonomous Machines
After decades of uninterrupted progress and growth, information technology has so evolved that it can be said we are entering the age of autonomous machines, but there exist many roadblocks in the way of making this a reality.
Engineering Education in the Age of Autonomous Machines
In the past few years, we have observed a huge supply-demand gap for autonomous driving engineers.
Teaching Autonomous Driving Using a Modular and Integrated Approach
Then, once the students have understood these modules, the experimental platforms for integration we have developed allow the students to fully understand how the modules interact with each other.
Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm
The rise of robotic applications has led to the generation of a huge volume of unstructured data, whereas the current cloud infrastructure was designed to process limited amounts of structured data.
Enabling Embedded Inference Engine with ARM Compute Library: A Case Study
Our conclusion is that, on embedded devices, we most likely will use very simple deep learning models for inference, and with well-developed building blocks such as ACL, it may be better in both performance and development time to build the engine from scratch.
