Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Learn how free IIT courses on SWAYAM are breaking barriers, offering quality education, and helping students and ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

This shift in the development model has significantly lowered the entry barrier. Now, someone with basic programming knowledge, or even a complete novice, can start building practical AI applications ...

Abstract: Intelligent Cyber-Physical Systems typically utilize sensors to gather a significant amount of raw data which often possesses temporal and high-dimensional characteristics. Ensuring the data ...

Abstract: Dynamic architecture neural networks (DynNNs) are an emerging type of deep learning models that can leverage different processing difficulties of data samples to dynamically reduce ...

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

Gambling content 21+. The New York Post may receive an affiliate commission if you sign up through our links. Read our editorial standards for more information. The Yankees took two of three from the ...