Browsing: deep learning

This study presents a novel approach to detecting voice pathologies using deep learning techniques and Mel spectrograms, with a focus on explainability through XAI methods.

The Japan Meteorological Agency is considering introducing artificial intelligence into weather forecasting to enhance accuracy by leveraging deep learning techniques.

The Japan Meteorological Agency is considering integrating artificial intelligence into its weather forecasting systems to improve accuracy through deep learning analysis of historical weather data.

This scoping review examines existing deep learning models for generating synthetic health records (SHRs), focusing on their applications, methodologies, and evaluation metrics. The review covers various data modalities including time series, longitudinal data, and medical texts.

Researchers developed a UAV-based method using deep learning to detect and quantify economically important palm tree species in the Peruvian Amazon, providing a cost-effective solution for sustainable forest management.

An interview with Geoffrey Hinton, one of the ‘godfathers’ of AI, on his surprising discoveries about artificial neural networks.

DeepSeek, a Chinese AI startup, has unveiled groundbreaking large language models that challenge industry norms. Their DeepSeek-V3 model outperforms OpenAI’s GPT-4o on benchmarks, and their DeepSeek-R1 model rivals OpenAI o1 models, all with significantly less computing power and cost. This has sent ripples through the tech world, emphasizing the importance of algorithmic innovation and efficient hardware.

Artificial intelligence played a crucial role in accelerating the development and deployment of COVID-19 vaccines, as highlighted in a recent review.

Researchers are turning to neuroscience to create artificial intelligence that is more efficient and adaptable by mimicking the structure and function of the brain.