The sophisticated technology that powers face recognition in many modern smartphones someday could receive a high-tech upgrade that sounds — and looks — surprisingly low-tech.
This window to the future is none other than a piece of glass. University of Wisconsin–Madison engineers have devised a method to create pieces of “smart” glass that can recognize images without requiring any sensors or circuits or power sources.
“We’re using optics to condense the normal setup of cameras, sensors and deep neural networks into a single piece of thin glass,” says UW-Madison electrical and computer engineering professor Zongfu Yu.
Yu and colleagues published details of their proof-of-concept research today in the journal Photonics Research.
Embedding artificial intelligence inside inert objects is a concept that, at first glance, seems like something out of science fiction. However, it’s an advance that could open new frontiers for low-power electronics.
Now, artificial intelligence gobbles up substantial computational resources (and battery life) every time you glance at your phone to unlock it with face ID. In the future, one piece of glass could recognize your face without using any power at all.
“This is completely different from the typical route to machine vision,” says Yu.
He envisions pieces of glass that look like translucent squares. Tiny strategically placed bubbles and impurities embedded within the glass would bend light in specific ways to differentiate among different images. That’s the artificial intelligence in action.
For their proof of concept, the engineers devised a method to make glass pieces that identified handwritten numbers. Light emanating from an image of a number enters at one end of the glass, and then focuses to one of nine specific spots on the other side, each corresponding to individual digits.
The glass was dynamic enough to detect, in real-time, when a handwritten 3 was altered to become an 8.
“The fact that we were able to get this complex behavior with such a simple structure was really something,” says Erfan Khoram, a graduate student in Yu’s lab.
Designing the glass to recognize numbers was similar to a machine-learning training process, except that the engineers “trained” an analog material instead of digital codes. Specifically, the engineers placed air bubbles of different sizes and shapes as well as small pieces of light-absorbing materials like graphene at specific locations inside the glass.
“We’re accustomed to digital computing, but this has broadened our view,” says Yu. “The wave dynamics of light propagation provide a new way to perform analog artificial neural computing”
One such advantage is that the computation is completely passive and intrinsic to the material, meaning one piece of image-recognition glass could be used hundreds of thousands of times.
“We could potentially use the glass as a biometric lock, tuned to recognize only one person’s face” says Yu. “Once built, it would last forever without needing power or internet, meaning it could keep something safe for you even after thousands of years.”
Additionally, it works at literally the speed of light, because the glass distinguishes among different images by distorting light waves.
“We could potentially use the glass as a biometric lock, tuned to recognize only one person’s face”
Although the up-front training process could be time consuming and computationally demanding, the glass itself is easy and inexpensive to fabricate.
In the future, the researchers plan to determine if their approach works for more complex tasks, such as facial recognition.
“The true power of this technology lies in its ability to handle much more complex classification tasks instantly without any energy consumption,” says Ming Yuan, a collaborator on the research and professor of statistics at Columbia University. “These tasks are the key to create artificial intelligence: to teach driverless cars to recognize a traffic signal, to enable voice control in consumer devices, among numerous other examples.”
Unlike human vision, which is mind-bogglingly general in its capabilities to discern an untold number of different objects, the smart glass could excel in specific applications — for example, one piece for number recognition, a different piece for identifying letters, another for faces, and so on.
“We’re always thinking about how we provide vision for machines in the future, and imagining application specific, mission-driven technologies.” says Yu. “This changes almost everything about how we design machine vision.”
The Latest on: Embedded artificial intelligence
via Google News
The Latest on: Embedded artificial intelligence
- Unilever Uses Virtual Factories to Tune Up Its Supply Chainon July 15, 2019 at 9:11 am
The “digital twin” strategy uses machine learning and artificial intelligence to analyze torrents of information ... of data that flow from come from the Internet of Things, devices embedded in ... […]
- Artificial intelligence smartens up cancer careon July 15, 2019 at 6:08 am
Artificial intelligence is emerging as a vital tool to tackle this ... “Varian products, with AI embedded within them, are already changing the practice of oncology,” he says. “We can help hospitals ... […]
- Development of Chatbots to Drive Global Artificial Intelligence Market Personalization to Fuel Artificial Intelligence Marketon July 15, 2019 at 1:07 am
The global artificial intelligence market report by Market Research Future ... By system type, it is segmented into automotive robotics system, embedded system, digital assistant, and artificial ... […]
- Axiomtek’s PoE embedded vision system for AIoT applicationson July 14, 2019 at 7:38 am
a fanless GPU computing embedded system featuring 4-channel PoE and MXM 3.1 Type A slot for applications in machine vision, edge computing, traffic vision, deep learning, and artificial intelligence ... […]
- Artificial Intelligence and Machine Learning in a Startup Eco-Systemon July 11, 2019 at 8:36 pm
Artificial Intelligence (AI) and Machine Learning (ML) technologies deliver intelligent functionalities to pre-existing solutions across various verticals including automotive, health care and ... […]
- Artificial intelligence may be used to reveal secrets behind traditional folk music dating back thousands of yearson July 11, 2019 at 5:22 am
The secrets behind traditional folk music from across the globe and dating back thousands of years are likely to be revealed by using artificial intelligence ... cultural data embedded in folk ... […]
- How co-innovation with Applied Intelligence can be a game changer for automationon July 11, 2019 at 3:38 am
Teaming with Accenture, Il Secolo XIX embedded an AI-powered digital ... Made up of three interwoven solutions: analytics, Artificial Intelligence, and automation, Applied Intelligence is a ... […]
- Shifting clouds: Artificial intelligence and IoT make edge computing the new buzzwordon July 9, 2019 at 10:36 pm
The reason: The vehicles are embedded with powerful on-board computers that ... believe this trend will prompt companies to process and analyse data using artificial intelligence (AI) and machine ... […]
- A Changing Internet: The Convergence Of Blockchain, Internet Of Things, And Artificial Intelligenceon July 5, 2019 at 11:47 am
When physical objects in geospace, aquaspace, and space become embedded with sensors and gain the ability ... Internet of things, blockchain, and artificial intelligence are some of the leading ... […]
- Is artificial intelligence a (job) killer?on July 3, 2019 at 5:03 am
With the advent of artificial general intelligence and self-designed intelligent ... and revealing patterns embedded in complex data. These talents have hardly rendered humans irrelevant. ... […]
via Bing News