Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

Deep learning, used to classify images, recognize voices and analyze video images, is emerging as the next big wave of artificial intelligence.

Deep-learning applications require embedded systems able to provide high computing capabilities, flexibility, availability of advanced peripherals, and high performance while operating in real time.

Complemented by deep learning, machine vision solutions have become a powerful tool for enhancing automated inspection capabilities.

Baidu's Chief Technology Officer and Director of the National Engineering Research Center for Deep Learning Technology and Applications, Wang Haifeng, officially launched the Wenxin Large Model X1.1 ...

Data Science And Deep Learning Application Leaders Form GPU Open Analytics Initiative Continuum Analytics, H2O.ai and MapD Technologies Create Open Common Data Frameworks for GPU In-Memory Analytics ...

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable ...

Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their ...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...