Towards Autonomous UAV Flight in Cluttered Forestry Environments

Autonomous flight within a forest canopy represents a key challenge for generalized scene understanding on-board a future Unmanned Aerial Vehicle (UAV) platform.

Автор: Bruna Pearson Последнее обновление: 09.08.2018 - 11:10

Self Driving Vehicles and Risk Analysis

Guidance, Navigation, and Control (GN&C) systems take data from the environment to create a mathematical representation of the system state.

Автор: админ Последнее обновление: 08.05.2019 - 15:30

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

Where's The Bear (WTB) implements a multi-tier (cloud, edge, sensing) system that integrates recent advances in machine learning based image processing to automatically classify animals in images f

Автор: админ Последнее обновление: 09.08.2018 - 10:55

Deep Learning for Cryptocurrency Trading

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

Автор: админ Последнее обновление: 09.08.2018 - 11:08

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

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.

Автор: админ Последнее обновление: 09.08.2018 - 11:04

RAIL: Risk-Averse Imitation Learning System

Imitation learning algorithms learn viable policies by imitating an expert's behavior when reward signals are not available.

Автор: админ Последнее обновление: 09.08.2018 - 10:52

Intel® Innovators and Intel® Student Ambassadors at AI Summit Bangalore

The Intel® Student Ambassador and Intel® Software Innovator summit was held in Bangalore in June.

Автор: админ Последнее обновление: 08.07.2019 - 09:06