Deep learning's availability of large data and compute power makes it far better than any of the classical machine learning algorithms.

Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced Systems Understanding (CASUS) at HZDR and the Max Delbrück Center for ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset.

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

“FPGA based deep learning accelerators meet most requirements,” Yao says. “They have acceptable power and performance, they can support customized architecture and have high on-chip memory bandwidth ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN ...

For instance, the programmable solutions group at Intel where the Altera teams were integrated post-acquisition has just developed an FPGA overlay for deep learning inference that demonstrates some ...

A serene airport, a contemporary art museum and a series of refugee community centers are among the winners of the Aga Khan Award for Architecture, a major prize honoring new buildings in ...