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 drone and machine learning


To Clear Deadly Land Mines, Science Turns to Drones and Machine Learning

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A small group of researchers struggle against the stiff wind to set up a pop-up tent for some shade. Nearby a young man opens a heavy Pelican case to reveal a pile of explosives."These are inert," he says, "but we're lucky to be working at a range that has so many different kinds of munitions." The range is an explosive-ordnance-disposal field laboratory maintained by Oklahoma State University, and the researchers are led by Jasper Baur and Gabriel Steinberg, co-founders of the Demining Research Community, a nonprofit organization bridging academic research and humanitarian demining efforts. They have been in Oklahoma for two weeks, setting up grids of mines and munitions to train a drone-based, machine-learning-powered detection system to find and identify dangerous explosives so humans don't have to. The Landmine and Cluster Munition Monitor reports that at least 7,073 people were killed or injured by mines in 54 countries and areas in 2020.

  drone and machine learning, munition, science turn
  Country:
  Industry: Government > Military (0.38)

Successful Recovery of an Observed Meteorite Fall Using Drones and Machine Learning

Anderson, Seamus L., Towner, Martin C., Fairweather, John, Bland, Philip A., Devillepoix, Hadrien A. R., Sansom, Eleanor K., Cupak, Martin, Shober, Patrick M., Benedix, Gretchen K.

arXiv.org Artificial Intelligence

Some of these meteorites fall in regions on Earth where fireball observatory networks are active, making it possible to record the trajectory of the fireball as it ablates material from the originating meteoroid. For some fireballs, this data can then be used to simulate both forward and backward in time to predict where the resulting meteorite landed on Earth and where the meteoroid originated in the solar system. Thus, recovering and analyzing these'orbital meteorites' with constrained, prior orbits provides an incredibly unique insight into the geology of the asteroid belt and the nature of mass transfer between the belt and the inner solar system. The Desert Fireball Network (DFN) (Bland et al. 2012; Howie et al. 2017) is one of many organizations (Oberst et al. 1998; Spurný et al. 2006; Trigo-Rodríguez et al. 2006; Olech et al. 2006; Colas et al. 2015; Devillepoix et al. 2020) that makes this possible.



Digitalist Flash Briefing: The Promise Of Drones And Machine Learning For Oil And Gas Industry

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In today's digital and "always-on" world, customers expect retailers to anticipated and meet their needs in real time. However, this type of customer engagement is more than what retailers are used to providing.


The Promise Of Drones And Machine Learning For Oil And Gas Industry

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Digital transformation is no longer a fuzzy buzzword in industry, rather it is now a well understood and a credible approach to achieving business value. With increasing maturation of transformative technologies, it's becoming a lot easier for organizations to chart their approach and digital transformation journeys.


Talking Drones and Machine Learning With HDFC Red CEO Sohel I S

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The startup-within-a-big-company is a narrative that's becoming increasingly popular, but Sohel I S, CEO of the property portal HDFC RED, feels that six years on, the mindset genuinely applies to his organisation, where the average age of the team is still 28. "We're able to make decisions quickly and don't have to go through so much hierarchy and we've had to be very fiscally responsible," Sohel tells Gadgets 360. This also helped the company have a relatively narrow focus from the beginning, something he says helped a lot. While many of the best known companies in the property space in India got their start in the rental market, HDFC RED stayed out of that segment, focused instead on the buying and selling of private homes from the beginning. Last year, Housing.com announced layoffs and shut down its rentals; visit most of the other popular sites and the first option you now see is "Buy".

  Country: Asia > India (0.26)
  Industry: Banking & Finance > Real Estate (1.00)