Manufacturing companies are charging ahead to buy powerful AI tools, yet many teams can’t keep pace. What’s next for AI and ...

High-performance computing, artificial intelligence, and quantum computing are transforming scientific research, enabling breakthroughs in drug discovery, climate modeling, and materials science. But ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Carina Hong, 24, raised $64 million to build an AI mathematician that discovers new theorems and solves century-old problems.

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

You don't need fancy hardware to get started on your coding journey. A low-spec computer will likely be more than you need to ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...