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References from the Tuesdays AI Meetup at Techfestival Copenhagen 2017 – where humans & technology meet. Techfestival is a non-profit initiative exploring a new, progressive agenda on technology.

List of participants in alphabetical order:

ARCHII
Archii reads and understands your documents using advanced machine learning technology. Archii integrates seamlessly into your document storage and email solutions for a fully automated experience.

BOTSUPPLY – APPLYING AI AT SCALE
Our NLP and Image Recognition solutions are a reflection of what our current network partners are most sought-after. The number of solutions is continuously growing as our network grows.

BRAINBOTICS
We focus on robots, drones and artificial intelligence and combine our technological expertise and business understanding to help you understand the opportunities and challenges of disruptive technology.

CORTI – AUGMENTING MEDICAL CONVERSATIONS
If artificial intelligence understood human language, we think it should participate in critical conversations and help us make important choices by finding causality where humans can not; seamlessly validating information in the background.

EYEEM – A COMMUNITY TO CELEBRATE PHOTOGRAPHY – POWERED BY AI
From small guerilla exhibitions to a passionate global community. EyeEm uses AI technology to reveal and curate the most beautiful images.

SENSOMIND – FOR INDUSTRIAL CUSTOMERS IN THE MANUFACTURING VERTICAL
Specifically, we focus on providing modern solutions to optimize quality and control processes by the use of high-speed camera.

ARTIFICIAL INTELLIGENCE (1950-) making computers and machine carry out tasks themselves

MACHINE LEARNING (1980-) adapting algorithms to the data provided

DEEP LEARNING (2010-) a set of algorithms that attempt to stimulate brain activities going on in neocortex layers, which are responsible for distinguishing images, patterns and data

Deep learning is currently a hot research area in a machine learning and pattern recognition society. The Reading School got a brief overview of how different fields including computer vision, speech recognition, natural language processing and audio recognition, have applied deep learning to understand big data in a rapidly growing economy.