Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...

Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...

A Florida woman caught 60 snakes in the state's annual 10-day challenge to eliminate the invasive Burmese python species wreaking havoc with the Everglades ecosystem. More than 900 people participated ...

More than 900 people participated in the 2025 Python Challenge, a 10-day snake hunt in South Florida. The catches were monumental this year with 294 pythons captured — the most in the contest's ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

The 2025 Florida Python Challenge, co-hosted by the FWC and the South Florida Water Management District, concluded on July 20th. Over 900 hunters from the U.S. and Canada participated in the 10-day ...

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...

Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...

Existing visual deep learning paradigms, which are based on labels, struggle to capture the intricate interrelationships between farmland and its surrounding environment and fail to account for ...