IEEE

MoDL-PU: Model-Based Deep Learning for InSAR Phase Unwrapping

Abstract: Phase unwrapping (PU) is a critical process for numerous synthetic aperture radar interferometry (InSAR) applications. The advent of deep learning (DL) has revolutionized PU, with various DL ...
Frontline

From mining pits to butterfly clouds

Delhi’s degraded mining pits now shelter orchids, jackals, and over 230 bird species. These biodiversity parks show how ...
University of California, San Francisco

The Brain May Learn More from Rare Events than from Repetition

How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...

Rethinking Education Models: Scott Doty on How Outdated Academic Systems Limit Students and Why Personalization Matters

Scott Doty, CEO of BrainStorm Academic Solutions, notes that core structural models still reflect frameworks developed in ...

Sideways on the ice, in a supercar: Stability control is getting very good

And it’s no secret that sliding a car on the ice is a lot fun. So it’s not surprising that a cottage tourism industry exists ...
IEEE

Training a Dynamic Growing Mixture Model for Lifelong Learning

Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...