Page 2 - Uncertainty Quantification News Today

A new technique can enable a machine-learning model to quantify how confident it is in its predictions, but does not require vast troves of new data and is much less computationally intensive than other techniques. The work was led by researchers from MIT and the MIT-IBM Watson AI Lab.

Researchers from MIT CSAIL predict semantically meaningful and calibrated uncertainty intervals in the latent space of a generative adversarial network to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.

The global medical devices market size was valued at $425.5 billion in 2018 and is expected to reach $612.7 billion by 2025, grow at a CAGR of 5.4%. More than 180,000 U.S. companies are involved in designing, developing, manufacturing, testing, marketing, packaging, and distributing medical devices in this thriving market. Today's Medical Developments serves the need of manufacturers and design professionals in medtech by featuring products, services, and techniques to help improve design an...

COMSOL, the leading provider of software solutions for multiphysics modeling has released version 6.0 of the COMSOL Multiphysics® software.