Roshan Kenia presented a poster on how AI-CNet3D enhances glaucoma classification using cross-attention networks while ...

Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the ...

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

WiMi Hologram Cloud (WIMI) announced the development of a Quantum Computing-Based Feedforward Neural Network algorithm aimed at overcoming ...

According to the researchers, the platform can achieve wafer-scale integration of all the devices required to build an ...

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

Secondly, The FMDNN trains two neural networks of different modalities to extract nonlinear ... The fusion vector is processed by the fully connected layer and used to determine the UAV's state ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...