Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

(1) Integration with Artificial Intelligence and Machine Learning ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

Avinash Reddy Aitha’s study on Cloud-Native Generative AI for Personalized Insurance Premium Modeling captures the essence of ...

The rise of e-commerce has brought unprecedented convenience to consumers, but it has also created fertile ground for deceptive practices in online marketplaces. A growing body of research is now ...

In the fast-evolving field of medical science, a new artificial intelligence model may be about to change the way mRNA-based ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

From robotics, to creating an AI-powered user onboarding solution, to building conscious businesses that improve people’s lives, Kedar Kulkarni, CEO and Co-founder of HyperVerge reflects on his ...

Ravi Shankar Garapati’s research offers a thoughtful, technically rigorous framework for addressing these challenges through ...

Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...