This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: This work presents a novel hardware-efficient FPGA implementation of a real-time parallel loop-unrolled decision feedback equalizer (DFE) for PAM-4 IM/DD optical links. The proposed DSP ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The Laser Interferometer Gravitational-Wave Observatory, or LIGO, has already won its researchers a Nobel Prize — and now artificial intelligence is poised to take LIGO’s search for cosmic collisions ...

I was benchmarking the performance of batched execution vs. a sequential Python loop for a simple, embarrassingly parallel task on lightning.gpu. Environment: Google Colab with a Tesla T4 GPU. To my ...

In this Daytona SDK tutorial, we provide a hands-on walkthrough for leveraging Daytona’s secure sandbox environment to execute untrusted or AI-generated Python code safely within Notebook. Beginning ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

It would be beneficial to have an equivalent in python-storage. For context: parallel composite upload splits large files into component pieces, uploads them in parallel and then recomposes them once ...