Over the past few years, the team has focused on developing new methods in Evolutionary Computation (EC), i.e. designing artificial
neural network architectures, building commercial applications, and solving challenging computational problems using methods inspired by natural evolution.
The goal of this project «New Advances in Neural Networks for Coding of Neural Representations» is to advance the state of the art in both encoding and decoding of linguistic and semantic representations using advanced
neural network architectures.
Now,
neural network architectures are enabling parallel computations, which work in synchronous and dynamic ways — more like how thinking works in biological brains.
Not exact matches
Topics include word embeddings, recurrent
neural network models, encoder - decoder
architectures, attention models,
architectures with external memories, and multimodal learning, including image and video captioning systems.
The second key technology, CNNP, achieved incredibly low power consumption by optimizing a convolutional
neural network (CNN) in the areas of circuitry,
architecture, and algorithms.
«This applies to any deep - learning
architecture, and the technique scales sublinearly, which means that the larger the deep
neural network to which this is applied, the more the savings in computations there will be,» said lead researcher Anshumali Shrivastava, an assistant professor of computer science at Rice.
The researchers» machine - learning system is a
neural network, so called because it roughly approximates the
architecture of the human brain.
«Deep convolutional
neural networks (DCNNs) use a
network architecture similar to standard convolutional
neural networks, but consist of a larger number of layers, which enables them to model more complicated functions.
In her paintings, Wróbel creates portals to imagined, meditative worlds inspired by travel, ancient
architecture, jazz / electronica / classical music,
neural networks, lyric poetry of Mary Oliver and Rainer Maria Rilke and esoteric philosophy.
Kirin 970, AI - enhanced computing
architecture with a dedicated
Neural Network Processing Unit (NPU)
Like a
neural network, blockchain allows for processing power to be shared through a common, digital
architecture.
Huawei says the real performance benefits of the chip can be seen in the dedicated
neural network processing unit, a unique AI - powered
architecture dedicated to boosting the productivity and efficiency of your phone.
Google's blog post says with the DeepLab - v3 + open source release also includes «models built on top of a powerful convolutional
neural network (CNN) backbone
architecture for the most accurate results...» The post also points out that these systems of image segmentation have improved drastically over the last couple of years with advance in methods, hardware and datasets.
MediaTek's NeuroPilot AI
architecture brings features like facial recognition, object and scene identification to the chipset, and it's compatible with Google's Android
Neural Network with support for TensorFlow, TF Lite, Caffe and Caffe 2.
Artificial intelligence (
neural network based
architecture that learns as it goes on similarly to the human brain)