All posts by Varun Gopu

3D Printed Underwater Scooters

For the first time ever a consumer water sports mobility device will be 75% additively manufactured (AM) with serial-produced, custom 3D-printed parts: 

The material is BigRep’s Pro HT, an easy-to-use filament designed for end-use applications. With a softening resistance of up to 115 °C, it offers a significant increase in temperature resistance (compared to average PLA), and minimal warping and shrinkage, which makes it perfectly suited for marine environments. As a material derived from organic compounds, Pro HT is biodegradable under the correct conditions, CO2 neutral and environmentally friendly.

The underwater scooter, which pulls the diver attached to it forward through the water, is an environmentally friendly, emission-free and low-noise method of exploring marine life without disrupting the eco-system. AMAZEA is an agile underwater scooter based on the “catamaran principle” and replicating a dolphin’s special body ergonomics that enable faster movement.

https://www.electricvehiclesresearch.com/articles/19486/3d-printed-underwater-scooters?stv1=1%3A431652%3A16934

Delta Airline First to Trial Wearable Robotic Exoskeleton

Delta Air Lines is partnering with Sarcos Robotics to explore new employee technology fit for a superhero – a mobile and dexterous exoskeleton designed to boost employees’ physical capabilities and bolster their safety.
 
Sarcos, the world’s leader in exoskeleton development, has developed the Sarcos Guardian XO, a battery-powered, full-body exoskeleton designed to boost human performance and endurance while helping to prevent injury. This robotic suit, designed for employees to wear, does the heavy lifting. By bearing the weight of the suit and the payload, the exoskeleton may enable an employee to lift up to 200 pounds repeatedly for up to eight hours at a time without strain or fatigue. 
 
 

Researchers develop an AI system with near-perfect seizure prediction

Researchers from the University of Louisiana at Lafayette have developed an AI system that can predict seizures with and accuracy of 99.6 %. Their method uses a deep learning algorithm that maps brain activity and another that can predict the electrical channels lighting up during a seizure.

 

https://www.engadget.com/2019/11/15/ai-seizure-prediction-epilepsy/