OpenAI, Google, and Moonshot AI are ushering in agentic AI systems that investigate, coordinate, and verify tasks beyond ...

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

Visualize the magnetic field of parallel current-carrying wires using Python. This short shows how to model and plot the field pattern, explore direction and strength, and build intuition for ...

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 ...

I just read the code of python-runner.py to get a basic understanding of how Python steps work (since it's not mentioned in the docs), then I came up with this question. It looks like a python step is ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

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 ...

There are four common Python loop mistakes that happen to just about everyone. These are crucial, too. Making a mistake with a Python loop can affect your program's performance and reliability. Dr.