Artificial Intelligence

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

Cardiovascular Disease Prediction using Classification Algorithms of Machine Learning

URL: https://www.ijsr.net/archive/v9i5/SR20501193934.pdf

Description:

Cardiovascular disease is a major health burden worldwide in the 21st century. Human services consumptions are overpowering national and corporate spending plans because of asymptomatic infections including cardiovascular ailments. Consequently, there is an urgent requirement for early location and

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iDVR Intelligent Digital Video Recording

URL: https://github.com/cabelo/idvr

Description:

The objective of the project is to obtain a stream of h265 videos encoded by external devices or by the server itself. But with a big difference: the stream or video will be indexed by models of convolutional neural networks. The system will find specific scenes without evaluating all media content.

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Real Time Dimension Measurement with Deep Learning

URL: https://youtu.be/9ZjsJPNM-M8

Description:

Dimensional measurement is quantification of size of different shapes and is very much essential in every industrial sector. It is a cardinal way for finding if things fit together for which lot of human intervention has become convention. we have made it simple.

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Unity Style Transfer using Barracuda on Intel Iris Max and VivoBook

URL: https://drive.google.com/file/d/1kWUdyVXpQ3Kf8gUBJdalfL-Y98hzHBdi/view?usp=sharing

Description:

Unity ML Implementation on Asus Flipbook Unity ML on Intel 11 gen Laptops and Intel Xe can be extended in two ways 1)Style Transfer 2)Unity ML RL implementation As we use Unity ML agents as package manager for Unity we can definitely use it both on Style Transfer and Unity ML agents.

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Optimal Power Flow using Graph Neural Networks

URL: https://github.com/Damowerko/OPF

Description:

Optimal power flow is a critical problem to electrical grid operation. We developing an unsupervised method of leaning optimal power flow using graph neural networks, which are more scalable to to their properties of permutation invariance and pertubation stability.

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The MisFit

URL: https://he-s3.s3.amazonaws.com/media/sprint/pg-global-innovation-challenge/team/833830/8d3a3d7the_code_20200517t155051z_001.zip

Description:

Our Product has two modules to it. To detect and identify all the PnG products realtime accurately. To detect the empty slots in the racks and to identify the misfits. i.e. Pampers cannot go into the rack where Tide is arranged. We could accurately identify the objects, find the empty slots if any .

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