Jerod Johnson, senior technology evangelist, CData Software, and Phillip Miller, senior product marketing manager, AI, Progress, joined DBTA's webinar, Powering AI/ML & Analytics with Smarter Data ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...

Agriculture and its allied sectors are undoubtedly the largest providers of livelihoods in rural India. The agriculture sector is also a significant contributor factor to the country's Gross Domestic ...

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Historically, the primary machine learning technique used in the industry was Statistical Machine Translation (SMT). SMT uses advanced statistical analysis to estimate the best possible translations ...

Minimum variance sampling analysis (MVS-A) is a fast machine-learning approach enabling the identification of both true bioactive compounds and false positives in high throughput screening data.