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Link Labs Awarded Six Patents for Software Engineering Innovations in AirFinder OnSite, Its Enterprise IoT Asset Tracking Platform

Link Labs Awarded Six Patents for Software Engineering Innovations in AirFinder OnSite, Its Enterprise IoT Asset Tracking Platform Share Article Link Labs today announced the awarding of six U.S. patents for technological innovations in its AirFinder OnSite IoT asset tracking platform. The most precise enterprise Bluetooth-based location technology available, AirFinder OnSite features technological breakthroughs in ranging methodology, interference avoidance, location algorithm, power efficiency and scalability to high tag densities. “Our AirFinder OnSite innovations at the firmware level of IoT devices resolve an array of technical challenges that are critical to making enterprise-grade IoT asset tracking more precise, more power-efficient and more affordable.” - Bob Proctor, CEO of Link Labs

Science journalist outlines challenges of settling the Moon and Mars

Spaceflight Insider Laurel Kornfeld An illustration of base on lunar south pole. Credit: NASA Human settlement of the Moon and Mars will require overcoming numerous challenges, including generating the energy to get off Earth, living in low gravity, facing extreme temperatures, protecting people from toxic radiation, growing food and cost, according to science journalist Christopher Wanjek. In an April 6, 2021, online lecture sponsored by the Space Telescope Science Institute ( STScI) titled “Spacefarers: How Humans Will Settle the Moon, Mars, and Beyond,” Wanjek, who authored a book with the same title in 2020, focused on the engineering, emotional, and economic challenges that will confront human activity in space over the next 30 years.

The Algorithm Helping Soft Robots Understand Their Surroundings

Thought LeadersAndrew Spielberg and Alexander AminiRobotics Researchers Computer Science and Artificial Intelligence Laboratory (CSAIL)Massachusetts Institute of Technology Soft robot development could benefit from an algorithm that optimizes sensor placement allowing such machines to better ‘understand’ their environments. Ph.D. students in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), Alexander Amini and Andrew Spielberg, have developed an algorithm to assist engineers with sensor placement to optimize soft robotics designs.  Can you give our readers a summary of your recent research? Our research focuses on soft robots, a new breed of robots of growing interest in the robotics community. Rigid robots have a rigid skeleton with discrete joints. By contrast, soft robots are flexible throughout their body, and typically do not have a joint structure. While rigid robots can be modeled quite compactly - you simply need to know the state of all

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