Incident Solar Radiation Prediction Revisited

New synthetic data informed the ML model to improve the prediction results by half. In the previous test the mean distance between prediction and real measure was ~23.70. Now the distance was reduced to ~8.25. One of the main advantages of synthetic data is that can be moulded to the problem.... more...

Incident Solar Radiation Prediction

Incident solar radiation, Buildings energy consumption, and other environmental analysis are based on expensive computational simulations. The building energy consumption forecast relies on environmental simulations and digital 3D models that represents the building physics properties. Typically, th... more...

Machine Learning for AEC to Tackle Climate Change

The AEC industry plays a key role in climate change. According to the latest IPCC report (chapter 6) cities are generating about 70% of global CO2-eq emissions. This contribution impact negatively to people, infrastructure, and business due to the hazards related with the climate change. In addition... more...

The Perfect Battle with Reinforcement Learning

Firefighters and arsonists are trained to control the fire in a virtual environment. The arsonists agents, patrol the environment to keep away spots fires from the firefighters. Arsonist agents can freeze firefighter agents for few seconds to stop them extinguish the spot fires. Contrary, the firefi... more...

Understanding Business in Stadium Design with ML

Understanding the competition brief, the Request For Proposal (RFP) or any demand from your client is essential to provide the best service. In the other hand, understanding your competitors offer will help your business to bring value to the market through your products and/or services. We need t... more...

Optimal Painting Distribution for Museum Storage

An Innsbruck based museum, contact us to optimize the distribution of 3,299 paintings into their new storage facilities outside the city. The storage space is composed by an array of double side movable metal grid walls. The museum wants to optimize the painting arrange distribution on the walls to... more...

Common Supervised Learning Models

Supervised learning its about to taking examples of inputs and outputs (labels) and then, given a new input, the model needs to predict the output. Supervised Learning is one of the biggest branches in Machine learning. The following table describes the most common algorithms for supervised learni... more...

Diversity app

Diversity in an application that use artificial intelligence to understand human expressions to generate shapes. Unity was used as the main VR platform and HTC vive to interact and visualize. Everyone understand Virtual Reality will enhance some human activities and this is also applicable to the fi... more...