Do you know how to jam these?
Description:
The StingRay is an IMSI-catcher, a controversial cellular phone surveillance device, manufactured by Harris Corporation.
Category: mobile phones – Page 170
The machine learning models that can detect our face and movements are now part of our daily lives with smartphone features like face unlocking and Animoji. However, those AI models can’t predict how we feel by looking at our face. That’s where EmoNet comes in.
Researchers from the University of Colorado and Duke University have developed the neural net that can accurately classify images in 11 emotional categories. To train the model, researchers used 2,187 videos that were clearly classified into 27 distinct emotion categories including anxiety, surprise, and sadness.
What if neither distance nor language mattered? What if technology could help you be anywhere you need to be and speak any language? Using AI technology and holographic experiences this is possible, and it is revolutionary.
Microsoft has created a hologram that will transform someone into a digital speaker of another language. The software giant unveiled the technology during a keynote at the Microsoft Inspire partner conference this morning in Las Vegas. Microsoft recently scanned Julia White, a company executive for Azure, at a Mixed Reality capture studio to transform her into an exact hologram replica.
The digital version appeared onstage to translate the keynote into Japanese. Microsoft has used its Azure AI technologies and neural text-to-speech to make this possible. It works by taking recordings of White’s voice, in order to create a personalized voice signature, to make it sound like she’s speaking Japanese.
Microsoft has shown off holograms of people before, but the translation aspect is a step beyond what has been possible with HoloLens. This looks like it’s just a demonstration for now, and you’d need access to a Mixed Reality capture studio to even start to take advantage of this. Microsoft’s studios are equipped with lighting rigs and high-resolution cameras to capture a fully accurate digital hologram of someone, which isn’t something that can be done easily at home with a smartphone just yet.
The financial-technology boom that turned China into the world’s biggest market for electronic payments is now changing how banks interact with companies that drive most of the nation’s economic growth. As MYbank and its peers crunch reams of new data from payment systems, social media and other sources, they’re growing more comfortable with smaller borrowers that they previously shunned in favor of state-owned giants.
Jack Ma’s online bank is leading a quiet revolution in the way China lends to small businesses, taking aim at a credit bottleneck that has held back Asia’s largest economy for decades.
Using real-time payments data and a risk-management system that analyzes more than 3,000 variables, Ma’s four-year-old MYbank has lent 2 trillion yuan ($290 billion) to nearly 16 million small companies. Borrowers apply with a few taps on a smartphone and receive cash almost instantly if they’re approved. The whole process takes three minutes and involves zero human bankers. The default rate so far: about 1%.
This new tech is the product of Neuralink, a company that Elon founded in 2016 with a goal of creating an implantable brain-computer interface (BCI) and yes, it is as crazy as it sounds.
He stated that the initial goal with this is to enable people with quadriplegia (paralysis) to control a smartphone or computer with just their thoughts. But anyone that knows the entrepreneur knows that he intends to go bigger than that.
His vision also consists of giving humans the ability to “merge” with AI and therefore give them superhuman intelligence. This is what may then seem like an objective that is too hype to be an actual plan for new technology development.
The first programmable memristor computer—not just a memristor array operated through an external computer—has been developed at the University of Michigan.
It could lead to the processing of artificial intelligence directly on small, energy-constrained devices such as smartphones and sensors. A smartphone AI processor would mean that voice commands would no longer have to be sent to the cloud for interpretation, speeding up response time.
“Everyone wants to put an AI processor on smartphones, but you don’t want your cell phone battery to drain very quickly,” said Wei Lu, U-M professor of electrical and computer engineering and senior author of the study in Nature Electronics.
Team efficient microchip
Posted in biotech/medical, computing, health, mobile phones
Researchers at MIT and Texas Instruments have designed a new chip for portable electronics that could be up to 10 times more energy-efficient than present technology. Given its reduced power consumption, the new chip could lead to cell phones, handheld computers, and remote sensors that last far longer when running from a battery.
Indeed, the power required could be so low that implantable medical devices such as pacemakers and health monitors could be powered indefinitely by a person’s body heat or motion—no battery needed.
According to Anantha Chandrakasan, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering, the key to the improvement in energy efficiency was finding ways to make the circuits on the chip work at a voltage level much lower than usual. While most current chips operate at around 1.0 volt, the new design works at just 0.3 volts.
Imagine having your cell phone start to charge when you walk into a room, or your electric car charge as you drive over a particular strip of land. It’s like a sort of ambient charging environment surrounds you.
Harnessing the power of magnetic fields.
Elon Musk’s Neuralink, the secretive company developing brain-machine interfaces, showed off some of the technology it has been developing to the public for the first time. The goal is to eventually begin implanting devices in paralyzed humans, allowing them to control phones or computers.
The ORION™ Non-Linear Junction Detector (NLJD) detects the presence of electronics, regardless of whether they are radiating, hard wired, or even turned off. Electronics containing semi-conductor properties return a harmonic signature the ORION NLJD can detect when radiated with RF energy. An NLJD detects physical properties, and not energy emissions. Therefore, devices that contain circuit boards and their components, like cell phones, video cameras, and microphones can be detected by the ORION NLJD.
How does a non-linear junction detector work?
The NLJD antenna head is a transceiver (transmitter and receiver) that radiates a digital spread spectrum signal to determine the presence of electronic components. When the energy encounters semi-conductor junctions (diodes, transistors, circuit board connections, etc.), a harmonic signal returns to the receiver. The receiver measures the strength of the harmonic signal and distinguishes between 2nd or 3rd harmonics. When a stronger 2nd harmonic is represented on the display in red, it indicates an electronic junction has been detected. In this way, a hand-held ORION is used to sweep walls, objects, containers, furniture, and most types of surfaces to look for hidden electronics, regardless of whether the electronic device is turned on.