Published on the arXiv preprint server, the most recent paper by Lee, Kang and Han builds on an earlier paper in which they first presented their squirrel-inspired robot. Their previous paper ...

Arduino,Arm Movements,Attention Layer,Control Arm,Convolutional Layers,Convolutional Neural Network,Cue Onset,Deep Learning Models,Degrees Of Freedom,Dense Layer,Development Of Pipelines,EEG ...

The aerodynamic drag from the robot ... neural networks to accurately predict the aerodynamic drag generated by the drone's silicone-based wing membrane. They then developed a Thrust-Wing Coordination ...

[ViciousSquid] is updating this 90s idea for the 20s with a digital pet squid that uses a neural network to shape its behavior. The neural network that controls the squid’s behavior takes a ...

Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor ...

London-based Isembard manufactures precision components for critical industries such as defence and aerospace Mr Fitzgerald said Isembard aims to tackle the problem by setting up a network of ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics ...

This post is inspired by http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch. In this post, we will implement a multiple layer neural network ...