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 ...
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Abstract: This work proposes a novel way of using Machine Learning (ML) algorithms on publicly available radar dataset* for Unmanned Aerial Vehicles (UAV) detection that contains their Radar Cross ...
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.
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