The majority of the world’s data is lazy. Once produced, it lies abandoned in the abyss of the world’s databases: according to consultancy IDC, less than 0.5 percent of the world’s data is ever used.
“Machines are getting connected at an increasingly higher rate,” Ganesh Bell, the president of Uptake, told the audience at MIT Technology Review’s EmTech conference today. “And those that are already connected are creating a lot of data.”
Most of the time, though, no one’s listening. As Bell put it, it’s as if our machines are posting hundreds of Facebook status updates and tweets a day, but they aren’t getting any likes or comments. Bell wants to increase the interaction that information attracts and put the data to use for a greater purpose.
Bell and his company are pulling out all the untapped data produced in industries like transportation and energy and applying AI to it, hoping to use it to make businesses more efficient.
For example, by looking at energy data, Uptake found that there are more 100 ways for a wind turbine to fail. By training and building a series of algorithms for predicting everything from yaw misalignment to generator failure, they have found they can anticipate more than 90 of those ways. And if you give humans a warning that something is going to go wrong, downtime can be reduced and more energy produced. “We have a mission to build a world that always works,” he said.
For most of Uptake’s clients, there is no need for additional sensors to be added to the machines. It’s just putting the existing data to work.
But as Bell says, this means nothing if humans don’t respond to the warnings. The software only detects that a problem is imminent. It doesn’t fix it. So the company also records how often people respond to the warnings and how accurate they prove to be. This feedback not only ensures that companies are getting the most out of the software; it also provides feedback to Uptake so that it can better train its systems, and continue to improve the industries that keep our cities powered and move us around the world.
A horrifying new AI app swaps women into porn videos with a click
Deepfake researchers have long feared the day this would arrive.
The therapists using AI to make therapy better
Researchers are learning more about how therapy works by examining the language therapists use with clients. It could lead to more people getting better, and staying better.
DeepMind says its new language model can beat others 25 times its size
RETRO uses an external memory to look up passages of text on the fly, avoiding some of the costs of training a vast neural network
Meta’s new learning algorithm can teach AI to multi-task
The single technique for teaching neural networks multiple skills is a step towards general-purpose AI.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.