Category: A.I.

AI and Machine Learning

Substance Designer – procedural material creator by allegorithmic A.I.
/ A.I., production, software

www.allegorithmic.com/products/substance-designer

Magic Leap introduces MICA an A.I. Avatar
/ A.I., animation, production, VR
How A.I. will change the 3D industry and your job
/ A.I., animation, design, production, reference, software

Deepfakes – Real Consequences
/ A.I., production, ves
This AI Can Clone Any Voice Including Yours
/ A.I., software

https://lyrebird.ai/

IBM machine argues pretty convincingly with humans
/ A.I., software

www.bbc.com/news/technology-44531132

TED – The incredible inventions of intuitive A.I. machine learning by Maurice Conti
/ A.I., design, production, software
50 Companies Leading the A.I. machine learning Revolution
/ A.I., ves

http://fortune.com/2017/02/23/artificial-intelligence-companies/?xid=soc_socialflow_facebook_FORTUNE

Types of A.I.
/ A.I.

Google is using AI to compress images better than JPEG
/ A.I., production

http://www.cio.com/article/3111934/google-is-using-ai-to-compress-images-better-than-jpeg.html

 

https://arxiv.org/pdf/1608.05148v1.pdf

How to Do Machine Learning A.I. in a Week
/ A.I., production

http://www.iamwire.com/2016/11/how-to-do-machine-learning-in-a-week/143288

 

Movidius – visual sensing real time image processing – recognize car plates
/ A.I., hardware

http://www.movidius.com/

 

Machine Learning A.I. course at Stanford University
/ A.I., software

https://www.coursera.org/learn/machine-learning

scikit-learn – Machine Learning A.I. in Python
/ A.I., python, software

http://scikit-learn.org/stable/

Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable – BSD license

Machine learning A.I. course at Udacity
/ A.I., software

https://www.udacity.com/course/deep-learning–ud730

Self Organizing Mapping – machine learning A.I.
/ A.I., production

A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map.

http://www.mat.ucsb.edu/~g.legrady/academic/courses/06w259/projs/cs/MAT259-paper.pdf

http://en.wikipedia.org/wiki/Self-organizing_map

http://www.ai-junkie.com/ann/som/som1.html