Abstract: Accurate and spatiotemporal seamless soil moisture (SM) products are important for hydrological drought monitoring and agricultural water management. Currently, physically-based process ...
Nvidia (NVDA) said leading cloud providers are accelerating AI inference for their customers with the company's software ...
Since the advent of this model in 1989, technology has made generational advancements, and extensions of this model have been implemented. Objective: This systematic review aimed to re-examine TAM ...
Independent news. Trusted by Texans. About The Texas Tribune | Staff | Contact | Send a Confidential Tip | Ethics | Republish Our Work | Jobs | Awards | Corrections | Strategic Plan | Downloads | ...
The city of Beeville, 90 miles southeast of San Antonio, has declared a local state of disaster and entered Stage 4 water emergency as its primary water source, Lake Corpus Christi, approaches ...
Personal ML laboratory for experiments, research implementations, and learning notes. Includes classical models (regression, classification) and curated resources for machine learning exploration.
Abstract: Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback