The Google Magenta team, which makes machine-learning tools for the creative process, has made models that help you compose melodies, and tools that help you sketch cats. Mostly because it’s fun, but also to explore how AI can make creation more accessible. Its latest project now gives anyone a chance to make quarantine tunes to vibe to—no music training necessary.
Lo-Fi Player, designed by Vibert Thio, a technologist and artist who interned with the team this summer, lets users interact with objects in a virtual room to mix their own lo-fi hip-hop soundtracks. The goal is to make the music-mixing experience as simple and friendly as possible. The room is a two-dimensional, pixelated drawing displayed in a web browser. Clicking on different objects, like the clock and the piano, prompts the user to adjust different tracks, like the drum line and melody.
There are two machine-learning models at work in the background. One, tucked away in the radio, generates new melodies when clicked on; the other, hidden in the TV, interpolates between two melodies to create something that sounds a little bit like both.
Most of thr sounds in the room, however, are not generated by machine learning—and that’s kind of the point. Throughout the process, Thio worked with lo-fi producers to curate bass lines, drum lines, and background ambience that exemplify the genre and sound good. He also wrote four melody options that users can choose from. The machine learning adds just enough of a wild card on top of the scripted tracks to give each user a unique mix.
The initial launch of Lo-Fi Player also includes an interactive YouTube livestream, where users can type commands into the chat window to change the music. The idea is to make music creation a more collective experience, with quarantine in mind. “What a tiny, small thing to bring us together during covid,” says Doug Eck, a research scientist who supervised the project.
Right now the project is in its first version, but Thio already sees more possibilities. His dream project is to make a kind of TikTok for music creation—an interface that makes it really easy for non-musicians to play with music editing, share their creations, and express themselves.
By: Karen Hao
Title: Create your own moody quarantine music with Google’s AI
Sourced From: www.technologyreview.com/2020/09/04/1008151/google-ai-machine-learning-quarantine-music/
Published Date: Fri, 04 Sep 2020 13:41:23 +0000
The Download: deep diving, and virtual power plants in China
This is today’s edition of The Download our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Meet the divers trying to figure out how deep humans can go
Two hundred thirty meters into one of the deepest underwater caves on Earth, Richard “Harry” Harris knew that not far ahead of him was a 15-meter drop leading to a place no human being had seen before.
Getting there had taken two helicopters, three weeks of test dives, two tons of equipment, and hard work to overcome an unexpected number of technical problems. But in the moment, Harris was hypnotized by what was before him: the vast, black, gaping unknown.
Staring into it, he felt the familiar pull—maybe he could go just a little farther. Instead, he and his diving partner, Craig Challen, decided to turn back. They weren’t there to exceed 245 meters—a depth they’d reached three years earlier. Nor were they there to set a depth record—that would mean going past 308 meters.
They were there to test what they saw as a possible key to unlocking depths beyond even 310 meters: breathing hydrogen. Read the full story.
This story is from the next print issue of MIT Technology Review, all about exploring hidden worlds. Want to get your hands on a copy when it publishes next Wednesday? Subscribe now
Why China’s EV ambitions need virtual power plants
Virtual power plants (VPPs) are an idea whose time has arrived. They’re basically a layer on top of resources like electric vehicle chargers, solar panels, and battery packs, which allow you to coordinate energy consumption and supply. This lets utility companies handle times of higher energy demand by adjusting the end use of electricity, for example reducing the efficiency of an EV charger so it takes longer to finish and thus puts less burden on the grid.
In China, which is adopting electric vehicles faster than any other country, VPPs could be transformational. The country has just started testing programs which incentivize EV owners to charge their vehicles late at night, when there’s less demand on the grid.
It’s also piloting bidirectional charging stations, which would let EV owners not only use electricity, but even sell it back into the grid at times of peak demand, earning them a little extra cash. Read the full story.
This story is from China Report, our weekly newsletter giving you behind-the-scenes insights into China and its tech scene. Sign up to receive it in your inbox every Tuesday.
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Alabama’s Supreme Court ruled that frozen embryos are ‘children’
It’s a worrying development, especially for people seeking infertility treatments. (CNN)
The first IVF babies conceived by a robot have been born. (MIT Technology Review)
2 Inside AI startup Anthrophic’s funding spree
Investors cannot hand money over to promising AI companies quickly enough right now, it seems. (NYT $)
OpenAI is now valued at a staggering $86 billion. (Bloomberg $)
Why the New York Times could win against OpenAI. (Ars Technica)
3 The EU is setting up rules for sucking CO2 out of the sky
It’s creating a first-of-its-kind certification framework for carbon removal technologies. (The Verge)
How carbon removal technology is like a time machine. (MIT Technology Review)
4 Researchers are imbibing AI with human-like qualities
No one is immune from anthropomorphism, it seems. (New Scientist $)
If you’ve posted on Reddit, your words are probably being used to train AI. (Ars Technica)
5 What mind-reading devices can teach us
They’re restoring functions like speech and movement. But they’re also shining a light on how the brain works. (Nature)
Elon Musk claims the first Neuralink patient can now control a computer mouse with their thoughts. (CNBC)
6 Fake funeral livestream scams are proliferating on Facebook
Beyond grim, and Meta’s doing almost nothing to prevent it. (404 Media)
7 A spacecraft is about to try to snag some space junk
If it works, it’ll be an important development for the effort to clear Earth’s orbit of debris. (Ars Technica)
8 People are breeding pythons to have ‘emoji’ patterns
But, as always amid a gold rush, some of them are doing some deeply unethical things in the process. (New Yorker $)
9 How scientists predicted Iceland’s vast volcanic eruption
And saved a lot of lives in the process. (Quanta)
How machine learning might unlock earthquake prediction. (MIT Technology Review)
10 Older people are among VR’s most enthusiastic adopters
By: Charlotte Jee
Title: The Download: deep diving, and virtual power plants in China
Sourced From: www.technologyreview.com/2024/02/21/1088754/deep-diving-virtual-power-plants-china/
Published Date: Wed, 21 Feb 2024 13:10:00 +0000
Did you miss our previous article…
Cryptocurrency Payments for Insurance: Are Insurance Companies Really Embracing Bitcoin and Altcoins?
It is no longer unusual to hear that a bank accepts savings in Bitcoin, Ethereum, and the like. Or that a loan company helps businesses with crypto. After all, the traditional financial and insurance industries were among the first to adopt cryptocurrencies. The latter ones have found more than one way to incorporate these means of payment into their business. This approach proved useful not only for companies but also for policyholders.
The above claim was confirmed by several recent surveys, including that of Goldman Sachs, which showed that 6% of respondents (over 300 financial executives in the insurance sector) verified that their companies invest in crypto.
Benefits for Policyholders and Insurance Companies
Several things make cryptocurrencies attractive, not only for insurance companies but also for policyholders. Some of them are beneficial to both parties, and some are specific.
So, when it comes to policyholders, they can expect several advantages of using crypto. One of the most notable is the opportunity for diversification. Thanks to crypto, they can get another asset (on top of the traditional ones) to add to their diversification strategy. By doing this, they can spread risk and keep their funds protected.
Also, policyholders can count on speedy transactions because crypto transactions are usually processed much faster than wire transfers. Receiving claim payouts on time in urgent situations is possible thanks to cryptocurrency.
We should also note that they get more privacy because they can stay pseudonymous.
On the other hand, insurance companies benefit from reduced transaction costs, faster settlements, improved security, and a few other things.
It’s one thing to discuss things in theory and another to see how they work in real life. Fortunately, there are many successful examples of insurance companies accepting crypto as a payment plan.
INGUARD is one of the leading digital insurance companies based in the U.S. It provides its services in all 50 U.S. States. What makes INGUARD truly special is that they were the first insurance companies in North America to accept Bitcoin payments in 2013.
Interestingly, this brand is partnered with numerous tech companies who share their vision for insurance, including Fitbit and Michelin.
Some insurance companies rely on the blockchain. Lemonade is an excellent example of this. This brand throws blockchain technology and artificial intelligence into the mix or provides pet, car, home, and other types of insurance. It goes without saying that policyholders can use cryptocurrency as a payment plan.
Compiling a list of insurance companies accepting crypto without mentioning
Title: Cryptocurrency Payments for Insurance: Are Insurance Companies Really Embracing Bitcoin and Altcoins?
Sourced From: www.cryptoninjas.net/2023/11/20/cryptocurrency-payments-for-insurance-are-insurance-companies-really-embracing-bitcoin-and-altcoins/
Published Date: Mon, 20 Nov 2023 06:07:04 +0000
Did you miss our previous article…
Inside the hunt for new physics at the world’s largest particle collider
In 1977, Ray and Charles Eames released a remarkable film that, over the course of just nine minutes, spanned the limits of human knowledge. Powers of Ten begins with an overhead shot of a man on a picnic blanket inside a one-square-meter frame. The camera pans out: 10, then 100 meters, then a kilometer, and eventually all the way to the then-known edges of the observable universe—1024 meters. There, at the farthest vantage, it reverses. The camera zooms back in, flying through galaxies to arrive at the picnic scene, where it plunges into the man’s skin, digging down through successively smaller scales: tissues, cells, DNA, molecules, atoms, and eventually atomic nuclei—10-14 meters. The narrator’s smooth voice-over ends the journey: “As a single proton fills our scene, we reach the edge of present understanding.”
During the intervening half-century, particle physicists have been exploring the subatomic landscape where Powers of Ten left off. Today, much of this global effort centers on CERN’s Large Hadron Collider (LHC), an underground ring 17 miles (27 kilometers) around that straddles the border between Switzerland and France. There, powerful magnets guide hundreds of trillions of protons as they do laps at nearly the speed of light underneath the countryside. When a proton headed clockwise plows into a proton headed counterclockwise, the churn of matter into energy transmutes the protons into debris: electrons, photons, and more exotic subatomic bric-a-brac. The newly created particles explode radially outward, where they are picked up by detectors.
In 2012, using data from the LHC, researchers discovered a particle called the Higgs boson. In the process, they answered a nagging question: Where do fundamental particles, such as the ones that make up all the protons and neutrons in our bodies, get their mass? A half-century earlier, theorists had cautiously dreamed the Higgs boson up, along with an accompanying field that would invisibly suffuse space and provide mass to particles that interact with it. When the particle was finally found, scientists celebrated with champagne. A Nobel for two of the physicists who predicted the Higgs boson soon followed.
But now, more than a decade after the excitement of finding the Higgs, there is a sense of unease, because there are still unanswered questions about the fundamental constituents of the universe.
Perhaps the most persistent of these questions is the identity of dark matter, a mysterious substance that binds galaxies together and makes up 27% of the cosmos’s mass. We know dark matter must exist because we have astronomical observations of its gravitational effects. But since the discovery of the Higgs, the LHC has seen no new particles—of dark matter or anything else—despite nearly doubling its collision energy and quintupling the amount of data it can collect. Some physicists have said that particle physics is in a “crisis,” but there is disagreement even on that characterization: another camp insists the field is fine and still others say that there is indeed a crisis, but that crisis is good. “I think the community of particle phenomenologists is in a deep crisis, and I think people are afraid to say those words,” says Yoni Kahn, a theorist at the University of Illinois Urbana-Champaign.
The anxieties of particle physicists may, at first blush, seem like inside baseball. In reality, they concern the universe, and how we can continue to study it—of interest if you care about that sort of thing. The past 50 years of research have given us a spectacularly granular view of nature’s laws, each successive particle discovery clarifying how things really work at the bottom. But now, in the post-Higgs era, particle physicists have reached an impasse in their quest to discover, produce, and study new particles at colliders. “We do not have a strong beacon telling us where to look for new physics,” Kahn says.
So, crisis or no crisis, researchers are trying something new. They are repurposing detectors to search for unusual-looking particles, squeezing what they can out of the data with machine learning, and planning for entirely new kinds of colliders. The hidden particles that physicists are looking for have proved more elusive than many expected, but the search is not over—nature has just forced them to get more creative.
n almost-complete theory
As the Eameses were finishing Powers of Ten in the late ’70s, particle physicists were bringing order to a “zoo” of particles that had been discovered in the preceding decades. Somewhat drily, they called this framework, which enumerated the kinds of particles and their dynamics, the Standard Model.
Roughly speaking, the Standard Model separates fundamental particles into two types: fermions and bosons. Fermions are the bricks of matter—two kinds of fermions called up and down quarks, for example, are bound
By: Dan Garisto
Title: Inside the hunt for new physics at the world’s largest particle collider
Sourced From: www.technologyreview.com/2024/02/20/1088002/higgs-boson-physics-particle-collider-large-hadron-collider/
Published Date: Tue, 20 Feb 2024 10:00:00 +0000
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