One of the many challenging tasks when deploying deep learning models on resource-constrained devices such as embedded systems, mobile phones, or IoT devices is meeting the tight memory requirements of these environments....
In today's world of high-performance computing, optimizing deep neural networks for embedded hardware is crucial for achieving real-time performance and meeting the demands of users and applications. One of the key factors in achieving optimal performance is reducing the execution time of these models....
The Future of Life Institute has come out with an Open Letter advocating a 6 month pause on training AI models “more powerful” than GPT-4. The letter has already been signed by over 1000 people ranging from researchers, technology leaders and public figures....
