Lifeboat Foundation

Go big or go home. This Alabama-based start-up just unveiled the biggest drone in the world — and it looks sublime. The massive drone, called the Ravn X, is designed to launch small satellites into orbit while airborne.

Aevum — the space startup — has worked mainly in the background, until yesterday when they unveiled their gigantic autonomous drone.

They built the high-altitude aircraft and launch vehicle to ferry satellites to orbit and improve space access — similar goals to space-tech leaders like Virgin Orbit, Rocket Lab, and SpaceX. But if you want to get ahead of the competition and can’t be the first, why not be the biggest?

https://music.youtube.com/watch?v=bAdqazixuRY&list=RDAMVMbAdqazixuRY

► Album & 4k Video: http://NigelStanford.com/y/a-/Automatica.

► Spotify: http://NigelStanford.com/y/Spotify.

Continue reading “AUTOMATICA — Robots Vs. Music — Nigel Stanford” »

THE FINANCE industry has had a long and profitable relationship with computing. It was an early adopter of everything from mainframe computers to artificial intelligence (see timeline). For most of the past decade more trades have been done at high frequency by complex algorithms than by humans. Now big banks have their eyes on quantum computing, another cutting-edge technology.

A fundamentally new kind of computing will shake up finance—the question is when.

Finance & economics Dec 19th 2020 edition.

Continue reading “Wall Street’s latest shiny new thing: quantum computing” »

Meet the Smellicopter is a tiny drone developed by scientists at the University of Washington, capable of detecting smells like gas leaks, explosives, or even the survivors of a natural disaster. This amazing, obstacle avoiding UAV doesn’t use a man-made sensor to smell: it uses a moth antenna to navigate towards an odor.

A research paper published in IOP Science describes Smellicopter as “A bio-hybrid odor-guided autonomous palm-sized air vehicle.” The advantages to such a vehicle are clear: the tiny drone can travel in places that humans cannot or should not: the rubble of buildings after a natural disaster; zones where chemical leaks or spills may have occurred; or conflict zones that may contain chemical or explosive weapons.

Continue reading “Smellicopter Tiny Drone Uses Moth Antenna to Find Smells” »

DroneSeed will be allowed to operates drones beyond visual line of sight.

DroneSeed, a company that uses fleets of drones to reforest areas burned in wildfires, received approval in October from the Federal Aviation Administration (FAA) for its heavy-lift drones to operate Beyond Visual Line of Sight (BVLOS) and to expand its use of heavy-lift drone swarms to California, Colorado, Montana, Nevada, Arizona and New Mexico.

Continue reading “FAA gives approval for company to use swarms of drones to reforest burned areas” »

This sounds good. 😃

A questionnaire developed by XPRIZE and Deep Longevity claims to be able to accurately predict your psychological age by using artificial intelligence (AI) to analyze your answers, which theoretically should fall close to your chronological age. The questionnaire is developed from a study published in Aging that used AI in an attempt to identify key hallmarks of psychological aging and the top risk factors that affect mortality.

While the questionnaire seems like a fun insight into whether you’re an old soul or a young gun at heart, there is an important scientific basis for an age-predicting AI. The newly developed technology represents the first AI aimed solely at using psychological aspects to predict age. The researchers hope it can contribute to understanding the role psychological clocks play in overall aging, as well as improving mental health and the feeling of youth.

“For the first time, AI can predict human psychological and subjective age and help identify the possible interventions that can be applied in order to help people feel and behave younger,” said Alex Zhavoronkov, PhD, founder and CLO of Deep Longevity and co-author of the study, in a statement.

Summary: Combining machine learning with MRI brain scans helps researchers provide a more accurate map of the brain.

Source: OIST

Scientists in Japan’s brain science project have used machine intelligence to improve the accuracy and reliability of a powerful brain-mapping technique, a new study reports.

A trio of researchers at Johannes Kepler University has used artificial intelligence to improve thermal imaging camera searches of people lost in the woods. In their paper published in the journal Nature Machine Intelligence, David Schedl, Indrajit Kurmi and Oliver Bimber, describe how they applied a deep learning network to the problem of people lost in the woods and how well it worked.

When people become lost in forests, search and rescue experts use helicopters to fly over the area where they are most likely to be found. In addition to simply scanning the ground below, the researchers use binoculars and thermal imaging cameras. It is hoped that such cameras will highlight differences in body temperature of people on the ground versus their surroundings making them easier to spot. Unfortunately, in some instances thermal imaging does not work as intended because of vegetation covering subsoil or the sun heating the trees to a temperature that is similar to the body temperature of the person that is lost. In this new effort, the researchers sought to overcome these problems by using a deep learning application to improve the images that are made.

Continue reading “Using artificial intelligence to help drones find people lost in the woods” »