Artificial Intelligence

Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.

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Andy R. created project Recognizing temperature values in camera traps using OCR

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Recognizing temperature values in camera traps using OCR

The use of camera traps is common for wildlife research. Unfortunately however, much of the image metadata from the camera traps is often inaccessible due to poor encoding and non-existent developer support. In this project, I explore a different alternative to the camera's metadata by using the K-Nearest Neighbor algorithm for automatic detection of the temperature values.

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antara p. updated status

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antara perti

As BPO organisation, we have just entering up-skill the management about artificial intelligence. I am part of Talent Development and would like to understand the offerings that we have available in market.

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Jawad S. created project Skin Lesion and Diabetic Retinopathy Classification using Transfer Learning

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Skin Lesion and Diabetic Retinopathy Classification using Transfer Learning

This is a research oriented project where we have tried to use machine learning models for classification tasks using images as an input. We've used CNN model for the task of image analysis and classification. The architecture of our model is a standard architecture used by many in the industry. The architecture is called Inception model.

We've used transfer learning to take adapt a partially trained Inception model on our dataset. Using the model thus obtained, we made an android app and a website to make the model usable.

Additional info can be found on the github repo => https://github.com/DanishShah/DeepDiagnosis

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Grant R. created project URL-What? - What is that URL about, which you sent me?

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URL-What? - What is that URL about, which you sent me?

Input: one URL Input Example: https://sites.google.com/view/cppmsg/ai-machine-learning-neural-networks Output: an English language explanation of what the page is about Output Example: A human readable desktop and mobile ready web page without video that describes a group of people studying AI on their own. Rated at 50% likelihood you will like the page. Difficulty level: Moderate Dataset availability: Needs to be developed. Similar to existing projects: Image recognition with the added feature of explaining what is in the picture in an English sentence.

Why cat pictures? Because I have copyright on them and the devmesh system mandates having pictures.

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谷 贺

Hefei, Anhui, China

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Julian Dario Luna Pati±o

#Maker - #IoT - #Domotica CEO @DOMOTECO Jah is always around me!

Bucaramanga, Santander, Colombia

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Edwin Salcedo

Learning how to be an outstanding engineer • Software Engineer • MBA Candidate • Full-Stack Developer • Django Lover

La Paz, Bolivia

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Krunal Pawar

I am a pharmacist and studied epidemiology from Munich University. I am interested in learning AI and its implications in patient safety.

Frankfurt, Germany

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Bishnu Satpathy

I AM BISHNU PRASAD SATPATHY A DIGITAL MARKETEER AND AN NETWORK ENGINEER HAVING IMMENSE INTEREST IN AI.

Sector - 106, Noida, Uttar Pradesh 201304, India

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OnTheWall

Thumb paul langdon Paul Langdon

Created: 01/13/2017

MagicMirror+ for Intel Joule - Adding Face/Voice Recognition & Control using RealSense, Voice and...

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Triton UAS

Default user avatar 57012e2942 Marco Flowers

Created: 03/03/2017

Triton UAS is an engineering student organization at UC San Diego that develops deep learning sys...

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IRPML

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Created: 01/17/2017

ML generated model of robotic arm.

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