Abstract: Artificial intelligence has proven its benefits in many domains. Yet, traditional deep learning models are still too energy and compute-intensive for resource-constrained edge environments.
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
The use of artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT and various other online platforms, has grown exponentially over the past few years. Current ...
This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
1 School of Electrical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for Smart Grid Technologies, Vellore Institute of Technology, Chennai, India Introduction: Reliable ...
Abstract: This letter proposes a sparse identification of nonlinear dynamics—physics informed neural network—particle swarm optimization algorithm for optimizing the air-gap design of transformers ...
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