Neural and Evolutionary Computing

Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies

On 18 Dec, 2022 By admin 0 Comments

March, 2022

Abstract

Hamiltonian Monte Carlo Particle Swarm Optimizer

On 28 Jun, 2022 By admin 0 Comments

June, 2022

Abstract

Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem

On 31 Mar, 2022 By admin 0 Comments

April, 2021

Abstract

GEMA: An open-source Python library for self-organizing-maps

On 26 Mar, 2022 By admin 0 Comments

March, 2022

Abstract

Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data

On 16 Feb, 2022 By admin 0 Comments

February, 2022

Abstract

A fully convolutional autoencoder is developed for the detection of anomalies in multi-sensor vehicle drive-cycle data from the powertrain domain. Preliminary results collected on real-world powertrain data show that the reconstruction error of faulty drive cycles deviates significantly relative to the reconstruction of healthy drive cycles using the trained autoencoder. The results demonstrate applicability for identifying faulty drive-cycles, and for improving the accuracy of system prognosis and predictive maintenance in connected vehicles.

In-Datacenter Performance Analysis of a Tensor Processing Unit

On 26 Apr, 2017 By admin 0 Comments

Norman P. Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark,Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C.