In this article, author Rahul Suresh discusses emerging AI patterns in the areas of prompting, responsible AI, user ...

Furthermore, a one-fits-all global model often fails to perform optimally across diverse participating devices. In this paper, we present NestFL, an efficient FL framework for edge computing that can ...

Abstract: To address the challenges posed by the deployment of microservices of future end-user applications in the cloud continuum, a performance prediction model working together with a network ...

Convolutional Neural Networks (CNNs) -- the most widely used AI model for image recognition -- process images using small, square-shaped filters. While effective, this rigid approach limits their ...

He didn’t give any specifics about which model could be used for an open-source project at that time; however, Whisper API appears to be a good example of what he had in mind. OpenAI has been ...

but it doesn't feel like an enormous leap from ChatGPT-4o Artificial Intelligence I pitted Gemini 2.5 Pro against ChatGPT o3-mini to find out which AI reasoning model is best Artificial ...

Google and the Wild Dolphin Project have developed an AI model trained to understand dolphin vocalizations DolphinGemma can run directly on Pixel smartphones It will be open-sourced this summer ...

To address this issue, this paper establishes a knee joint torque estimation model driven by four electromyography (EMG) sensors and proposes a novel method for simplifying musculoskeletal models ...

signalling a strategy to capitalise on surging demand for generative AI models. In 2024, the total computing power operated by SenseCore grew by 92 per cent year on year to over 23,000 petaflops.

A high-performance implementation of the Longest Common Subsequence (LCS) algorithm, optimized for parallel and distributed computing environments. Ideal for large-scale sequence analysis.