Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Fully convolutional networks (FCNs) are a type of neural network architecture commonly used in computer vision tasks such as image segmentation, object detection and image classification.

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

Anand Sharma's current focus lies in advancing ethical AI systems that improve automation efficiency while maintaining ...

What Are Convolutional Neural Networks? Neural networks are systems, or structures of neurons, that enable AI to better understand data, allowing it to solve complex problems. While there are numerous ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Through an Ising machine, which combines a mixture of quantum and classical computing, SoftBank sought to calculate optimal settings on base stations supporting a 5G network – which resulted in a 10% ...

Japanese carrier SoftBank has developed a new AI architecture using a Transformer model for radio access networks (RAN), the telco said in a release. The telco noted that recent tests showed that the ...

Performance analysis of artificial intelligence–driven convolutional neural network architectures for liver tumor segmentation.