Embedl's Blog on Deep Learning
Introduction to Deep Learning in the Automotive Industry
Deep Learning in the Automotive Industry As the world becomes increasingly digital, the automotive industry is quickly c...
FASTER EXECUTION
In today's world of high-performance computing, optimizing deep neural networks for embedded hardware is crucial for ach...
AI Risks: Fact and Fantasy
The Future of Life Institute has come out with an Open Letter advocating a 6 month pause on training AI models “more pow...
“What hardware should we use?”
In our guide, Overcome 4 main challenges when deploying deep learning in embedded systems , we list the most common chal...
Hard to meet real-time requirements
Whether this is your first time leading a deep learning (DL) project or you’ve been here before, you will encounter the ...
The Carbon Footprint of AI
Recent advances in AI via deep learning (DL) have been dramatic across a range of tasks in computer vision in autonomous...
The 4 main challenges of deploying deep learning
Are you experienced in making AI powered products or is this your first time on the deep learning carousel? Either way, ...
Amazon releases AZ1 Neural Edge Processor
On September 24th, Amazon held its annual hardware event, introducing their new generation of smart home hubs, speakers ...