AI model development is evolving fast. Discover which countries are leading in 2025, how many notable AI models exist, and ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Traditional perimeter-based security solutions are no longer capable of protecting boundless networking topologies like the Internet of Things (IoT). In contrast, the concept of Zero Trust ...

In this work, we propose a novel machine learning-based architecture that processes the Channel Impulse Response (CIR) for mobile Internet of Things (IoT) indoor localization. Our architecture is ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.

A model developed by LMU biophysicists demonstrates how biological processes form the convoluted internal architecture of the thymus—allowing for better suppression of autoimmune responses.

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 ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke University. Abstract “Deep neural network (DNN) inference on ...