A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

The following is a summary of “Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review ...

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in ...

Automation is the name of the game in many branches of industry: it not only improves the performance of machines and systems but also helps avoid production interruptions and save energy and ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

If quality control is to be automated using AI-based image processing, a suitable network and automation concept is required.

Developed by Google, TensorFlow is a software framework that’s widely used for training and inference of neural networks.

Abstract: Signal processing techniques have played a pivotal role in the early development of joint sensing and communication systems [1]. These efforts were driven by the need to address spectrum ...

And the other is kind of represented by Erik Brynjolfsson—he’s more of a techno-optimist—and he argues that recent breakthroughs in machine learning will boost productivity in places like ...

For each food, the extent of food processing was determined using FPro; Grocery DB then assigned an FPro score to all foods from the included grocery stores by leveraging a machine learning classifier ...

Educational Tools: Demonstrates basic concepts of machine learning, image processing, and computer vision. Improvements and Extensions: Model Optimization: The model could be optimized for faster ...