In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...

Histopathological evaluation of tumour specimens has long been essential in diagnosing breast cancer and guiding clinical ...

Histopathological evaluation of tumor specimens has long been essential in diagnosing breast cancer and guiding clinical ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

Setting the right price for goods or services is essential for just about any business. Prices that are too low can reduce ...

New proteins not found in nature have now been designed to counteract certain highly poisonous components of snake venom. The ...

Artificial intelligence (AI)-aided analysis of pathology slides showed potential as a predictive biomarker for non-small cell ...

OpenAI’s o3 tackles specific hurdles in reasoning and adaptability that have long stymied large language models. At the same time, it exposes challenges, including the high costs and efficiency ...

An artificial-intelligence model trained on data about where DNA ... A unified evolution-driven deep learning framework is presented, which outperforms state-of-the-art methods across various ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their ...