Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Results: We evaluated the performance of the models by comparing predicted sentiments (either positive or negative) with the labels judged by human evaluators in terms of the aforementioned 3 aspects.

Abstract: Currently, existing garbage image classification models predominantly operate on low-end devices and encounter significant challenges, including limitations in computing resources, storage ...

What happens when you combine an Arduino-based microcontroller with a palm-sized aluminum box and clicky buttons? A fidget ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Artificial intelligence (AI) is no longer limited to tech labs. OpenAI launched ChaGPT in 2022. Since then AI chatbots have ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of Ollama (with its variety of LLM choices). Typically, you would connect to ...