UE4: Big Data VR Challenge and Virtualrealism
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by Jacob Merrill
1 hours ago

UPBGE is very active - a fork of bge with enchanced phyiscs, rendering, and workflow additions. enchanced mesh editing w/ BVH_Tree_From_KX_MeshProxy() https://github.com/UPBGE

by Acacia
12 hours ago

Setting the light in the Unreal Engine 4.20 is quite good, with many different types of lighting duck life

by Acacia
12 hours ago

Stylish Water Shader 2.0 for Unity with many great features, I enjoyed this new application run 3

UE4: Big Data VR Challenge and Virtualrealism
21 May, 2015

The Anise Gallery will be hosting AVR London’s Virtualrealism, which will highlight Unreal Engine 4’s VR capabilities. Additionally, the themes along with six teams have been announced as finalists for the Big Data VR Challenge.

Real vs. Unreal: Virtualrealism

AVR London’s Virtualrealism is a virtual architectural visualization experience that will be showcased from June 1-20. This exhibition will highlight UE4’s capabilities, showing an example of how beautiful and photorealistic the rendering and settings are.

Big Data VR Challenge

Organized by Epic Games and the Wellcome Trust, the Big Data VR Challenge looks to utilize all the skills of the games industry and the rising VR community to explore and uncover new ways to manipulate and interrogate huge data sets that are now generated by many science studies. A prize of $20,000 will be given out to the best concept that will be demonstrated, judged, and announced at the Develop:Brighton conference in July. Six teams have been unveiled as finalists for the Big Data VR Challenge: Pi and Power, Soluis, LumaPie, Opaque Multimedia, Hammerhead VR and Skip the Intro.

The finalists will work next to scientists from all research projects to collaborate to create solutions. Everyone involved can share their progress and ideas with one another during workshops that are held monthly over the course of the challenge. The projects they will be a part of include putting together a digital edition of one of medical history’s largest collections of patient consultations (80,000 consultations recorded by two sixteenth and seventeenth century physician-astrologers). The blog gives specific information on what is released.

Source: unrealengine.com 

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