Quantum computing algorithms can simulate infinitely-large quantum systems thanks to mathematical tools known as tensor networks.
Google, Nvidia, and others are training algorithms in the dark arts of designing semiconductors—some of which will be used to run artificial intelligence programs.
The US Defense Advanced Research Projects Agency (DARPA) has selected three teams of researchers led by Raytheon, BAE Systems, and Northrop Grumman to develop event-based infrared (IR) camera technologies under the Fast Event-based Neuromorphic Camera and Electronics (FENCE) program. It is designed to make computer vision cameras more efficient by mimicking how the human brain processes information. DARPA’s FENCE program aims to develop a new class of low-latency, low-power, event-based infrared focal plane array (FPA) and digital signal processing (DSP) and machine learning (ML) algorithms. The development of these neuromorphic camera technologies will enable intelligent sensors that can handle more dynamic scenes and aid future military applications.
New intelligent event-based — or neuromorphic — cameras can handle more dynamic scenes.
An elegant new algorithm developed by Danish researchers can significantly reduce the resource consumption of the world’s computer servers. Computer servers are as taxing on the climate as global air traffic combined, thereby making the green transition in IT an urgent matter. The researchers, from the University of Copenhagen, expect major IT companies to deploy the algorithm immediately.
One of the flipsides of our runaway internet usage is its impact on climate due to the massive amount of electricity consumed by computer servers. Current CO2 emissions from data centers are as high as from global air traffic combined—with emissions expected to double within just a few years.
Only a handful of years have passed since Professor Mikkel Thorup was among a group of researchers behind an algorithm that addressed part of this problem by producing a groundbreaking recipe to streamline computer server workflows. Their work saved energy and resources. Tech giants including Vimeo and Google enthusiastically implemented the algorithm in their systems, with online video platform Vimeo reporting that the algorithm had reduced their bandwidth usage by a factor of eight.
“Because nothing can protect hardware, software, applications or data from a quantum-enabled adversary, encryption keys and data will require re-encrypting with a quantum-resistant algorithm and deleting or physically securing copies and backups.” v/@preskil… See More.
To ease the disruption caused by moving away from quantum-vulnerable cryptographic code, NIST has released a draft document describing the first steps of that journey.
Physics-informed machine learning might help verify microchips.
Physicists love recreating the world in software. A simulation lets you explore many versions of reality to find patterns or to test possibilities. But if you want one that’s realistic down to individual atoms and electrons, you run out of computing juice pretty quickly.
Machine-learning models can approximate detailed simulations, but often require lots of expensive training data. A new method shows that physicists can lend their expertise to machine-learning algorithms, helping them train on a few small simulations consisting of a few atoms, then predict the behavior of system with hundreds of atoms. In the future, similar techniques might even characterize microchips with billions of atoms, predicting failures before they occur.
Continue reading “Physicists Teach AI to Simulate Atomic Clusters” »
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Continue reading “The Technological Revolution (The 4th Industrial Revolution Explained)” »
This is only the Beginning.
Quantum physicist Mario Krenn remembers sitting in a café in Vienna in early 2016, poring over computer printouts, trying to make sense of what MELVIN had found. MELVIN was a machine-learning algorithm Krenn had built, a kind of artificial intelligence. Its job was to mix and match the building blocks of standard quantum experiments and find solutions to new problems. And it did find many interesting ones. But there was one that made no sense.
“The first thing I thought was, ‘My program has a bug, because the solution cannot exist,’” Krenn says. MELVIN had seemingly solved the problem of creating highly complex entangled states involving multiple photons (entangled states being those that once made Albert Einstein invoke the specter of “spooky action at a distance”). Krenn and his colleagues had not explicitly provided MELVIN the rules needed to generate such complex states, yet it had found a way. Eventually, he realized that the algorithm had rediscovered a type of experimental arrangement that had been devised in the early 1990s. But those experiments had been much simpler. MELVIN had cracked a far more complex puzzle.
Continue reading “AI Designs Quantum Physics Experiments Beyond What Any Human Has Conceived” »
Below is my Answer.
“There is big confluence between AI & Social Media. It is a two way thing, AI not only affects Social Media, Social Media also plays a great role in the development of AI.
The way AI is developed is through data, large data (big data) and one of the easiest ways to generate and source for data at this scale is from the contents and interactions on social media.
Continue reading “Someone recently asked the question on Quora, How does AI affect social media?” »
Whenever there’s an issue, there’s no support. It’s you against the machine, so you don’t even try.
Amazon’s contract Flex delivery drivers already have to deal with various indignities, and you can now add the fact that they can be hired — and fired — by algorithms, according to a Bloomberg report.
To ensure same-day and other deliveries arrive on time, Amazon uses millions of subcontracted drivers for its Flex delivery program, started in 2015. Drivers sign up via a smartphone app via which they can choose shifts, coordinate deliveries and report problems. The reliance on technology doesn’t end there, though, as they’re also monitored for performance and fired by algorithms with little human intervention.
Continue reading “Amazon is reportedly using algorithms to fire Flex delivery drivers” »
