Synthetic Aperture Radar (SAR) imagery plays a critical role in all-weather, day-and-night remote sensing applications. However, existing SAR-oriented deep learning is constrained by data scarcity, ...

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...

A bill before the General Assembly would require the state Department of Economic and Community Development to establish a concierge service for small businesses, borrowing from a model already in use ...

This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...

Members of Yankton’s Discovery Group chapter of the Sierra Club were treated to a presentation on South Dakota’s Sanford Underground Research Facility (SURF) Sunday at First United Methodist Church.

The CMU Deep Tech Venture-Ready program is a learning-focused experience centered on how deep-tech companies are formed and funded: how investors think about technical risk, what early milestones ...

NORTH MIAMI, FLA. (WSVN) - When it comes to early learning, one Florida organization has risen to the challenge of meeting the needs of thousands of students. The Florida Early Learning Corps, an ...

Drone images have allowed researchers to explore new questions due to their incredible spatial resolution. Ironically however, the level of detail renders traditional image analysis methods largely ...

York College is launching a new Lifelong Learning Program for adults 18 and older. The program will be led by a former manager from Penn State York's Osher Lifelong Learning Institute. Classes will be ...

CAMERON, Texas, Feb. 02, 2026 (GLOBE NEWSWIRE) -- Deep Isolation Nuclear, Inc. (“Deep Isolation”), a leading innovator in nuclear waste disposal technology, today announced the launch of its ...

Abstract: In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at various ...

ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...