LinkNet: neural networks for autonomous driving From our lab: https://codeac29.github.io/projects/linknet/index.html

e-Lab produtions 1997–2013 See our work in image sensors artificial eyes artificial brains biomedical instrumentation neuroscience instruments https://www.slideshare.net/EugenioCulur...

Neuromorphic and Deep Neural Networks Disclaimer: I have been working on analog and mixed-signal neuromorphic micro-chips during my PhD, and in the last 10 years have switched to Deep Learning and...

A new kind of deep neural networks by Alfredo Canziani, Abishek Chaurasia and Eugenio Culurciello There is a new wave of deep neural networks coming. They are the evolution of feed-forward mode...

Navigating the Unsupervised Learning Landscape Unsupervised learning is the Holy Grail of Deep Learning. The goal of unsupervised learning is to create general systems that can be trained with lit...

Snowflake The most efficient deep neural network accelerator — FWDNXT.com by Vinayak Gokhale, Aliasger Zaidy, Andre Chang, Eugenio Culurciello Deep convolutional neural networks (CNNs) are the d...

Computation and memory bandwidth in deep neural networks Eugenio Culurciello, Aliasger Zaidy and Vinayak Gokhale Memory bandwidth and data re-use in deep neural network computation can be estima...

Artificial Intelligence: past, present, future Deep Learning and neural networks are quickly becoming a dominant unified algorithm to extract information from unstructured data. Using standard ...

Our GPU machines Specs GPU Machine for deep learning — that we use for Deep Learning work and research! CASE: Corsair iCUE 4000X RGB CC-9011205-WW White Steel / Plastic / Tempered Glass ATX Mid ...

Neural Network Architectures Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architectur...