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探索学生大使们从事的项目,例如:机器人汽车、自动图像字幕、自然语言处理、自我意识的机器等。

个搜索结果:24

Keras* Implementation of Siamese-like Networks

发布时间:2018 年 6 月 19 日

This guide will help you to write complex neural networks such as Siamese networks in Keras. It also explains the procedure to write your own custom layers in Keras.

Understanding Capsule Network Architecture

发布时间:2018 年 6 月 19 日

Capsule networks (CapsNet) are the new architecture in neural networks, an advanced approach to previous neural network designs, particularly for computer vision tasks. To date, convolutional neural networks (CNN) have...

RAIL: Risk-Averse Imitation Learning System

上次更新时间:2018 年 6 月 13 日视频时长:2 分钟

Present a Risk-Averse Imitation Learning (RAIL) algorithm as an alternative to Generative Adversarial Imitation Learning (GAIL) for improved reliability in risk-sensitive applications.

Deep Learning for Cryptocurrency Trading

上次更新时间:2018 年 6 月 12 日视频时长:2 分钟

The project Deep Learning for Cryptocurrency Trading is focused on utilizing sentiment analysis on social outputs related to Cryptocurrencies on Reddit* and Twitter*.

Automating Wildlife Image Processing Using IoT and the Intel® Movidius™ Neural Compute Stick

上次更新时间:2018 年 6 月 12 日视频时长:1 分钟

The design and implementation of Where's The Bear (WTB), an end-to-end, distributed, IoT system for wildlife monitoring.

A CLass-Enhanced Attentive Response (CLEAR) Approach to Understand Deep Neural Networks

上次更新时间:2018 年 6 月 12 日视频时长:4 分钟

We propose CLass-Enhanced Attentive Response (CLEAR): an approach to visualize and understand the decisions made by deep neural networks (DNNs) given a specific input.

Self Driving Vehicles and Risk Analysis

上次更新时间:2018 年 6 月 11 日视频时长:3 分钟

We show a method to create a guidance solution based upon system risk for a system’s goal.

Bruna Maciel Pearson

Towards Autonomous UAV Flight in Cluttered Forestry Environments

上次更新时间:2018 年 6 月 11 日视频时长:2 分钟

An approach for automatic trail navigation with an Unmanned Aerial Vehicle (UAV).

My Takeaways From Intel® AI DevCon

发布时间:2018 年 6 月 6 日

Intel Artificial Intelligence Developer Conference (AIDC) was a two-day conference that took place at the San Francisco Palace of Fine Arts on May 23-24, 2018. Unlike most conferences held by tech companies, this conference was highly technical...

Bringing Artificial Intelligence to the Edge

发布时间:2018 年 6 月 3 日

We encounter artificial intelligence in almost all our daily tasks: speech-to-text, photo tagging technology, fingerprint recognition, spam classification. We see it contributing to cutting-edge innovations: precision...

Using the Intel® Distribution for Python* to Solve the Scene-Classification Problem Efficiently

发布时间:2018 年 5 月 24 日

This article shows how to get acquainted with image and scene categorization. Firstly, to extract the image features, then prepare a classifier using the training samples, and finally to assess the classifier on a test set.

Solving Latency Challenges in End-to-End Deep Learning Applications

发布时间:2018 年 5 月 10 日

Intel® Student Ambassador David Ojika Uses Intel® Movidius™ Myriad™ 2 Technology for Specialized Vision Processing at the Edge

Abstract

The Intel® Student Ambassador Program for...

Machine Learning and Mammography

发布时间:2018 年 5 月 3 日

This article shows how deep learning can be used to be able to detect invasive ductal carcinoma (IDC) in unlabeled histology images. It shows how to train a convolutional neural network using TensorFlow* and transfer learning using a dataset of negative and positive histology images.

基于英特尔® AI DevCloud 的英特尔® Optimization for TensorFlow* 中的英特尔® 至强® 可扩展处理器架构和优化概述

发布时间:2018 年 4 月 27 日

使用基于英特尔® AI DevCloud 的英特尔® Optimization for TensorFlow 介绍英特尔® 至强® 可扩展处理器的架构和优化

Review of Architecture and Optimization on Intel® Xeon® Scalable Processors in context of Intel® Optimization for TensorFlow* on Intel® AI DevCloud

发布时间:2018 年 1 月 23 日,更新时间: 2018 年 4 月 27 日

Present the architecture and optimization on Intel® Xeon® Scalable Processors (CPU) using Intel® Optimization for TensorFlow* on the Intel® AI DevCloud

MADRaS: A Multi-Agent DRiving Simulator

发布时间:2018 年 4 月 18 日

This article presents MADRaS: Multi-Agent DRiving Simulator. It is a multi-agent version of TORCS, a racing simulator popularly used for autonomous driving research by the reinforcement learning and imitation learning communities.

Training an Agent to Play Pong* Using neon™ Framework

发布时间:2018 年 4 月 16 日

This article showcases the implementation of an agent to play the game Pong* using an Intel® architecture-optimized neon™ framework, and to serve as an introduction to the Policy Gradients algorithm.

Better Generative Modelling through Wasserstein GANs

发布时间:2018 年 3 月 26 日

Wasserstein GANs allow developers can train their discriminator to convergence. Doing this eliminates the need to balance generator updates with discriminator updates.

Visualising CNN Models Using PyTorch*

发布时间:2018 年 2 月 9 日

Before any of the deep learning systems came along, researchers took a painstaking amount of time understanding the data. Finding visual cues before handing it off to an algorithm. But right now, we almost always feed our data into a transfer...

AI Student Ambassador Devinder Kumar: Applying Deep Learning in the Healthcare and Finance Sectors

发布时间:2018 年 2 月 7 日

The Intel® Student Ambassador Program was created to work collaboratively with students at innovative schools and universities doing great work in the Machine Learning and Artificial Intelligence space. I had the opportunity to get to know one of...

Functional Connectivity of Epileptic Brains: Investigating Connectivity of Epileptic Brain - Week 1 Update

发布时间:2017 年 11 月 14 日

This blog post introduces the utilization of connectivity investigation to epileptic brains. We will show the fundamental steps to process EEG data including pre-processing, applying necessary filters, and perform a basic connectivity extraction...

Functional Connectivity of Epileptic Brains: Preprocessing EEG Data - Week 2 Update

发布时间:2017 年 11 月 14 日

EEG data can be recorded with many different file types depending on the instrument and the institution.  The file type in this research that we will be working with is the simple text file containing EEG data.

The...

Functional Connectivity of Epileptic Brains: Extracting Functional Connectivity - Week 3 Update

发布时间:2017 年 11 月 14 日

In the previous week we applied preprocessing techniques to obtain the cleaned EEG data. This week we are introducing how to extract functional connectivity from the EEG data. Functional connectivity is defined as a study of the correlation of...

AI Student Ambassador Ngesa Marvin: A Community Advocate in Kenya

发布时间:2017 年 5 月 30 日

Predicting the exact location of harmful weeds in Lake Victoria is a challenge but with Google Earth and wind data, Intel® Student Ambassador Ngesa Marvin thinks he can help eradicate them.  Ngesa started his journey into technology with a single...