Neural architecture search is an aspect of AutoML, along with feature engineering, transfer learning ... Did you perform multiple runs of your experiments and report seeds?

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

Almost two years after the acquisition by Intel, the deep learning chip architecture from startup Nervana Systems ... They’ve introduced NVLink but from the ground up, we engineered a multi-chip ...

In AI, a transformer is a type of algorithm and deep-learning architecture that permits a computer to understand ... At each layer, each token is given a context via a parallel multi-head attention ...

There has been much written about the potential for FPGAs to take a leadership role in accelerating deep learning but in practice ... further develop DLA to encompass more use-cases such as multi-FPGA ...

If the specifications for Turing didn't seem like anything special, just the same old stuff with some fancy ray tracing and deep learning ... in the Turing architecture: Multi-View Rendering ...

Kieran Wood, Sven Giegerich, Stephen Roberts and Stefan Zohren introduce the ‘momentum transformer’, an attention-based deep-learning architecture that outperforms ... please contact [email protected] or ...