A good software architecture ensures that an AI system does not depend on the performance of a specific model.

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

As people adopt new trends and cultures, algorithms change in response. Brands keeping their fingers on the pulse of these changes can feel obligated to shift their budgets, edit their content ...

With the development of satellite networks, space-air-ground integrated networks, and the Internet of Things, the future giant constellations, high-resolution Earth observation, human-crewed ...

The urgent need for scalable artificial intelligence solutions in wildlife conservation has intensified as biodiversity loss accelerates globally, with current extinction rates estimated at 100-1,000 ...

Deep reinforcement learning has been widely applied to solve the anti-jamming problems in wireless communications, achieving good results. However, most research assumes that the communication system ...