Artificial-intelligence software, particularly deep-learning (DL) components, is currently the most advanced and economically feasible solution for achieving autonomous systems, such as autonomous ...

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

In the rapidly advancing landscape of Industrial IoT (Internet of Things), cybersecurity has taken on unprecedented importance. The proliferation of connected devices in industrial sectors has ...

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of users by ...

Modern NoC (Network-on-Chip) is built of complex functional blocks, such as packet switches and protocol converters. PPA (performance/power/area) estimates for these ...