Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Hosted on MSN

Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that threaten both lives and critical infrastructure. In 2022, a slope failure ...
Electronic Design

Real-Time MCU First to Integrate NPU

The TMS320F28P550SJ from Texas Instruments is the industry's first real-time MCU with an integrated neural processing unit (NPU). It's designed to run convolutional-neural-network (CNN) models to help ...
InfoWorld

AI and machine learning outside of Python

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Opinion

When Algorithms Meet Empathy: How HR Should Approach AI

The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.
Tech Xplore on MSN

Smart sensor network and AI algorithms ease strain on stressed drivers

Fraunhofer researchers have developed a system that uses sensors and AI to monitor a driver's cognitive load. In the future, ...
Scientific Research Publishing

A New Evolving Technology for Gearbox Condition Monitoring and Fault Diagnosis ()

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...