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‘This technology may be scaled to monitor the well-being of elderly people or just identify suspicious behaviours at home,’ scientists claim Scientists have figured out how to identify people in a building by using artificial intelligence to analyse WiFi signals. A team at Carnegie Mellon University developed a deep neural network to digitally map human bodies when in the presence of WiFi signals.

A chatbot powered by reams of data from the internet has passed exams at a US law school after writing essays on topics ranging from constitutional law to taxation and torts.

ChatGPT from OpenAI, a US company that this week got a massive injection of cash from Microsoft, uses artificial intelligence (AI) to generate streams of text from simple prompts.

The results have been so good that educators have warned it could lead to widespread cheating and even signal the end of traditional classroom teaching methods.

Machine learning can analyse how the signals from Wi-Fi transmitters are disrupted by human bodies to reveal what position people are sitting, standing or lying in.

Year 2012 The dwave quantum computers could essentially host the entire internet with low cost and even photonic room temperature quantum computers could eventually host the internet for even cheaper even down to pennies. Also if starling had casimir energy generators and casimir propulsion systems it could be even free for satellite operation costs with full automation we could essentially have low cost of pennies for the full system operation. At least some ideas for future operation costs.

This question was originally answered by Greg Price on Quora.

An unsecured server discovered by a security researcher last week contained the identities of hundreds of thousands of individuals from the U.S. government’s Terrorist Screening Database and “No Fly List.”

Located by the Swiss hacker known as maia arson crimew, the server, run by the U.S. national airline CommuteAir, was left exposed on the public internet. It revealed a vast amount of company data, including private information on almost 1,000 CommuteAir employees.

CommuteAir also confirmed the legitimacy of the data, stating that it was a version of the “federal no-fly list” from roughly four years prior.

Continue reading “EXCLUSIVE: U.S. airline accidentally exposes ‘No Fly List’ on unsecured server” »

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Despite its recent blowback, Web 3.0 offers a more interconnected and productive society.

The next significant development for the internet and all it governs is Web 3.0. To improve user experience, it will make use of artificial intelligence. In addition, blockchain technology will enable the service to be backed by decentralized networks since Web 3.0 is the fundamental framework for cryptocurrencies like Bitcoin and Ethereum. This will be a revolutionary move that might significantly influence businesses and how they function, as well as individual users. For instance, site owners won’t have to rely on larger businesses like Amazon (AWS) and Google to buy server space.

Web 2.0 – the current version of the internet – has grown overly centralized, with a small number of large technology businesses and government organizations controlling the industry. Web 3.0, which promises a decentralized online ecosystem built on the still-emerging blockchain, will be the third iteration of the internet. Web 3.0 was first coined in 2014 by a computer scientist named Gavin Wood also helped create Ethereum, the decentralized blockchain system that powers the ether coin.

Continue reading “Explained: Will Web 3.0 live up to its hype?” »

Synced has previously covered additional research on the use of WiFi signals for human pose and action recognition through walls and the associated risks of such technologies.

Please note that the DensePose-COCO and DensePose-PoseTrack datasets are distributed under NonCommercial Creative Commons license.

Continue reading “DensePose: DensePose was introduced in 2018 and aims to map human pixels in an RGB image to the 3D surface of the human body” »

Scientists have developed a way to detect 3D shapes and the movements of human bodies in a room using a Wi-Fi router.

The researchers at Carnegie Mellon University in the U.S. hope that the technology may eventually replace normal cameras.

According to a recent paper published on arXiv, the team of scientists managed to make out images of people in a room through the Wi-Fi signals emitted from a normal router.