The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

The science of self-worth, the power of neuroplasticity, and 10 practical steps to help you uproot old patterns and embrace ...

Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Abstract: The Paper explores different aspects of deep learning techniques and neural networks in the fields of healthcare, time-series forecasting, agriculture, and other relevant sectors through ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

Despite soaring progress, scientists at AI’s largest gathering say key questions about how models work and how to measure ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...