CLOSE
iStock
iStock

Wireless Recording Device Captures Studio-Quality Songs on the Go

iStock
iStock

When they aren’t near a studio, some musicians settle for recording snippets of songs on their smart phones during the writing process. Spire Studio offers a better way: Small enough to fit inside a purse, the recording device allows artists to record and mix professional-grade tracks without stepping foot inside a recording booth.

According to Fast Company, Spire Studio is a new product from iZotope, a Massachusetts-based company that’s been in the recording business for more than 15 years. The sleek, cylindrical gadget is designed to be a modern tool for making music. Using it is simple, with a button for one-touch recording and a studio-quality microphone built in. It automatically adjusts levels for a smoother sound and gives musicians the choice to layer tracks on top of one another.

Once the actual music has been captured, users can move to the Spire Studio app to edit it. The device wirelessly connects to a smartphone where mixing and polishing tracks is easy even for a beginner to do. And if a friend wants to improve upon the song further, the file can easily be shared for them to play with it.

Spire Studio is designed to be accessible to musicians of all experience levels, but that’s no reason for serious recording artists look down upon it. Some professional bands, including The Ultramods and Gorillaz, have composed entire albums using nothing but iPad apps. Songwriters looking to graduate past the Voice Memos app on their phone can purchase Spire Studio for $350 when it hits the market this fall.

[h/t Fast Company]

nextArticle.image_alt|e
WWF
arrow
Animals
Watch an Antarctic Minke Whale Feed in a First-of-Its-Kind Video
WWF
WWF

New research from the World Wildlife Fund is giving us a rare glimpse into the world of the mysterious minke whale. The WWF worked with Australian Antarctic researchers to tag minke whales with cameras for the first time, watching where and how the animals feed.

The camera attaches to the whale's body with suction cups. In the case of the video below, the camera accidentally slid down the side of the minke whale's body, providing an unexpected look at the way its throat moves as it feeds.

Minke whales are one of the smallest baleen whales, but they're still pretty substantial animals, growing 30 to 35 feet long and weighing up to 20,000 pounds. Unlike other baleen whales, though, they're small enough to maneuver in tight spaces like within sea ice, a helpful adaptation for living in Antarctic waters. They feed by lunging through the sea, gulping huge amounts of water along with krill and small fish, and then filtering the mix through their baleen.

The WWF video shows just how quickly the minke can process this treat-laden water. The whale could lunge, process, and lunge again every 10 seconds. "He was like a Pac-Man continuously feeding," Ari Friedlaender, the lead scientist on the project, described in a press statement.

The video research, conducted under the International Whaling Commission's Southern Ocean Research Partnership, is part of WWF's efforts to protect critical feeding areas for whales in the region.

If that's not enough whale for you, you can also watch the full 13-minute research video below:

nextArticle.image_alt|e
iStock
arrow
technology
AI Could Help Scientists Detect Earthquakes More Effectively
iStock
iStock

Thanks in part to the rise of hydraulic fracturing, or fracking, earthquakes are becoming more frequent in the U.S. Even though it doesn't fall on a fault line, Oklahoma, where gas and oil drilling activity doubled between 2010 and 2013, is now a major earthquake hot spot. As our landscape shifts (literally), our earthquake-detecting technology must evolve to keep up with it. Now, a team of researchers is changing the game with a new system that uses AI to identify seismic activity, Futurism reports.

The team, led by deep learning researcher Thibaut Perol, published the study detailing their new neural network in the journal Science Advances. Dubbed ConvNetQuake, it uses an algorithm to analyze the measurements of ground movements, a.k.a. seismograms, and determines which are small earthquakes and which are just noise. Seismic noise describes the vibrations that are almost constantly running through the ground, either due to wind, traffic, or other activity at surface level. It's sometimes hard to tell the difference between noise and legitimate quakes, which is why most detection methods focus on medium and large earthquakes instead of smaller ones.

But better understanding natural and manmade earthquakes means studying them at every level. With ConvNetQuake, that could soon become a reality. After testing the system in Oklahoma, the team reports it detected 17 times more earthquakes than what was recorded by the Oklahoma Geological Survey earthquake catalog.

That level of performance is more than just good news for seismologists studying quakes caused by humans. The technology could be built into current earthquake detection methods set up to alert the public to dangerous disasters. California alone is home to 400 seismic stations waiting for "The Big One." On a smaller scale, there's an app that uses a smartphone's accelerometers to detect tremors and alert the user directly. If earthquake detection methods could sense big earthquakes right as they were beginning using AI, that could afford people more potentially life-saving moments to prepare.

[h/t Futurism]

SECTIONS

arrow
LIVE SMARTER
More from mental floss studios