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Novel approach uses machine learning for quick and easy rheumatic disease diagnosis

In a recent study published in the journal Frontiers in Medicine, researchers evaluated fluorescence optical imaging (FOI) as a method to accurately and rapidly diagnose rheumatic diseases of the hands.

They used machine learning algorithms to identify the minimum number of FOI features to differentiate between osteoarthritis (OA), rheumatoid arthritis (RA), and connective tissue disease (CTD). Of the 20 features identified as associated with the conditions, results indicate that reduced sets of features between five and 15 in number were sufficient to diagnose each of the diseases under study accurately.

ChatGPT Still Needs Humans

The media frenzy surrounding ChatGPT and other large, language model, artificial intelligence systems spans a range of themes, from the prosaic – large language models could replace conventional web search – to the concerning – AI will eliminate many jobs – and the overwrought – AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.

But large language models, for all their complexity, are actually really dumb. And despite the name “artificial intelligence,” they’re completely dependent on human knowledge and labor. They can’t reliably generate new knowledge, of course, but there’s more to it than that.

ChatGPT can’t learn, improve or even stay up to date without humans giving it new content and telling it how to interpret that content, not to mention programming the model and building, maintaining and powering its hardware. To understand why, you first have to understand how ChatGPT and similar models work, and the role humans play in making them work.

Artificial Intelligence & The Singularity — Dr. Ben Goertzel

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Dr Ben Goertzel is a cross-disciplinary scientist, futurist, author and entrepreneur, who has spent the best part of his working life focused on creating benevolent superhuman artificial general intelligence (AGI).

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The 9 prophetic visions of Philip K Dick

One of the most surrealist anc controversial science fiction writers.


We are living in strange times. Politics. Society. Culture wars. Things have gone weird. We’re looking for knowledge and wisdom to guide us in strange times.

I can think of no better guide to the year 2022 than Philip K Dick.

The author of Do Androids Dream of Electric Sheep, the inspiration for Blade Runner, is best known as a science fiction writer. But after his infamous spiritual awakening and the events of 2−3−74, Philip K Dick became something more…a visionary prophet for the age we’re all now living in.

00:00 Welcome to strange times.

Efficient single-winged aerial robots with reduced energy consumption

Flying robotic systems have already proved to be highly promising for tackling numerous real-world problems, including explorations of remote environments, the delivery of packages in inaccessible sites, and searches for survivors of natural disasters. In recent years, roboticists and computer scientists have introduced a multitude of aerial vehicle designs, each with distinct advantages and features.

Researchers at Sharif University of Technology in Iran recently carried out a study exploring the potential of flying with a single wing, known as mono-wing aerial vehicles. Their paper, published in the Journal of Intelligent & Robotic Systems, outlines a new approach that could help to better control the flight of these vehicles as they navigate their surrounding environment.

“Unconventional vehicles inspired by natural phenomena consistently captivate the attention of engineers,” Afshin Banazadeh, one of the researchers who carried out the study, told Tech Xplore. “One such , the mono-wing, a single-bladed aerial vehicle, is no exception.

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