Augmented Reality Dentistry Will Show You How Your Teeth Look Post-Treatment

International Business Times

Getting dental work done is generally very expensive and you have to basically estimate by looking at casts and molds as to how your teeth will look post-treatment. A Swiss startup is working on changing this paradigm. Kapanu has created a virtual mirror which will show you your post-treatment teeth using augmented reality (AR) and 3D imaging. The company has created an AR engine in collaboration with Disney Research, which will be used for medical purposes, the first one being dentistry. The company showcased its tech at the International Dental Show in Cologne, Germany, last year and claims that it received "overwhelming feedback" from dentists, dental hygienists and dental technicians.

Machine learning architectures to predict motion sickness using a Virtual Reality rollercoaster simulation tool Artificial Intelligence

Virtual Reality (VR) can cause an unprecedented immersion and feeling of presence yet a lot of users experience motion sickness when moving through a virtual environment. Rollercoaster rides are popular in Virtual Reality but have to be well designed to limit the amount of nausea the user may feel. This paper describes a novel framework to get automated ratings on motion sickness using Neural Networks. An application that lets users create rollercoasters directly in VR, share them with other users and ride and rate them is used to gather real-time data related to the in-game behaviour of the player, the track itself and users' ratings based on a Simulator Sickness Questionnaire (SSQ) integrated into the application. Machine learning architectures based on deep neural networks are trained using this data aiming to predict motion sickness levels. While this paper focuses on rollercoasters this framework could help to rate any VR application on motion sickness and intensity that involves camera movement. A new well defined dataset is provided in this paper and the performance of the proposed architectures are evaluated in a comparative study.

'Smart' glasses could help track Parkinson's symptoms


Two artificial intelligence companies are working on a pair of technology-imbued spectacles designed to track the severity of Parkinson's symptoms. UK start-up Emteq and Munich-based audEERING, both of which specialise in technology designed to track emotional responses, will collaborate on a device that will use facial tracking and vocal analysis to track "key physical indicators" of Parkinson's disease. Emteq designs sensor-laden wearable devices capable of tracking facial expression, which are interpreted by the company's AI platform to gauge emotional responses. AudEERING, meanwhile, is an audio analysis firm that uses machine intelligence and deep learning techniques to determine the emotional state of the speaker. The'smart' glasses will combine Emteq's hardware and emotion-tracking technology with an AI model developed by audEERING said to be capable of detecting vocal changes associated with Parkinson's Disease.

Altoida Raises $6.3M for Early Detection of Alzheimer's Using AI & Augmented Reality -


Altoida Inc., a digital health company using digital biomarkers to drive better clinical outcomes for brain diseases has raised $6.3M in Series A funding led by M Ventures, the corporate venture capital arm of the science and technology company Merck KGaA, Darmstadt, Germany. The round also includes participation from Grey Sky Venture Partners, VI Partners AG, Alpana Ventures, and FYRFLY Venture Partners. The number of people living with Alzheimer's disease is rapidly growing. In 2019 alone, Alzheimer's disease and other dementias will cost the nation $290 billion. By 2050, these costs could rise as high as $1.1 trillion.

The Morning Download: In Machine Learning Age, Walmart Executive Finds Scale Helps


Today, bigness means the retailer's machine learning efforts benefit from data generated by people who shop at Walmart every week and activities around the tens of millions of items on its website. "Scarcity of data is what makes artificial intelligence really hard," Mr. King told Ms. Castellanos. "If you have volumes of data like we do, you can really apply it much quicker across the board," he said. Mr. King shared his take on several technologies, some not quite ready for prime time. Overseas traders charged with hacking SEC's public filings site.