Knowledge Distillation (KD) has been established as an effective technique for reducing the resource requirements of models when tackling computer vision tasks. Prior work has studied how to distill ...

Jeff Carlson writes about mobile technology for CNET. He is also the author of dozens of how-to books covering a wide spectrum ranging from Apple devices and cameras to photo editing software and ...

Abstract: Accurate fingerprint localization requires extensive numbers of measurements to build a comprehensive data set. We consider adaptive sampling to reduce the cost of measurement campaigns.

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 6, 2026 at 8:51 ...

Sinéad Burke, chief executive officer of accessibility and inclusion consultancy Tilting the Lens, is pushing forward for adaptive design. Burke has spent the last year working on an open-source white ...

Generating mechanistic pathways of rare events like ligand unbinding or protein folding is a central challenge in molecular dynamics simulation of complex molecular processes. Here, we present ...

Growing up, Steve Spohn’s primary way to connect with others was through videogames. Diagnosed with spinal muscular atrophy as an infant, Spohn spent significant time in the hospital as a child. “The ...

Advances in plant imaging and computer vision have transformed agriculture and biology by enabling continuous and objective trait quantification. However, monitoring large plant populations or ...

In 1959, Volvo engineer Nils Bohlin patented the now-ubiquitous three-point safety belt. This year his company built on that legacy. Its new adaptive restraint system customizes protection (e.g. by ...

This repository contains the official implementation for Reinforce-Ada, an adaptive sampling framework designed to resolve the ``signal collapse'' problem in Reinforce-style algorithm with group ...