Class Disrupted is an education podcast featuring author Michael Horn and Futre’s Diane Tavenner in conversation with ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
Sean Turner, a DOE senior engineer, is using AI at Oak Ridge National Laboratory to improve water resource management for ...
MiroThinker v1.5 is the world-leading open-source search agent that advances tool-augmented reasoning through interactive scaling — training the agent to handle deeper and more frequent ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Abstract: This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). Estimating the properties of unknown hazardous gas leakage using a ...
Abstract: Infrared small target detection has a wide range of applications, such as target warning and maritime rescue. However, existing deep learning methods still encounter some limitations, ...
The ultimate backyard flex was once a rectangular in-ground pool, its turquoise water glimmering under the sun. In today’s luxury market, that symbol seems almost quaint, as designers push the ...