Artificial Intelligence Newsletter / 07.06.2023
AI NEWSLETTER / 07.06.2023
Migros Develops Beverage Using Artificial Intelligence
Swiss retailer Migros has developed a beverage using artificial intelligence, which it says is a first among retailers worldwide.
Switzerland-based soft drink manufacturer Vivi Kola developed the beverage with the help of ChatGPT, the generative AI program Midjourney, and the real-time 3D creation tool Unreal Engine.
Vivi Nova is a refreshing drink made from water, lime juice, haskap berry juice, ginger juice, powdered chicory root, and brown sugar.
ChatGPT selected the ingredients, explaining that ‘haskap berry juice protects against cell damage, lime juice boosts immunity, and chicory root powder promotes digestion.’
Midjourney took care of the look with the collaboration of Unreal Engine, while AI created a recipe that captures current trends in beverages.
A Vegan Drink
Vivi Nova?is a vegan drink with reduced sugar content, while haskap berry juice gives it a unique character.
However, the retailer noted that the input of experienced human experts was required for the nutritional values, as this was too much of a task for AI.
The development of Vivi Nova, from conception to the drink itself, took only two days. At the same time, the bottling facility in Eglisau (Zurich) allowed for quick testing and bottling of the product.
Vivi Nova is now available in branches of the Migros Cooperative Zurich as well as throughout Switzerland on Migros Online.
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Artificial Intelligence is now writing OTT shows: Black Mirror creator has used it to make 6th season
Artificial Intelligence will next be used to make web shows starting with Netflix’s Black Mirror. Creator Charlie Brooker revealed recently that he’s decided to test the highly-discussed AI technology on his next project. While writing the latest season of the anthology series, he said that he actually “toyed around with ChatGPT a bit”.?
Is Artificial Intelligence technology any good?
Black Mirror’s Charlie Brooker said, “The first thing I did was type ‘generate Black Mirror episode’ and it comes up with something that, at first glance, reads plausibly, but on second glance, is shit. All it’s done is look up all the synopsis of Black Mirror episodes, and sort of mush them together. Then if you dig a bit more deeply you go, ‘Oh, there’s not actually any real original thought here.’ It’s [1970s impressionist] Mike Yarwood — there’s a topical reference.”
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On his experimentation with AI, Brooker said, “I was aware that I had written lots of episodes where someone goes, ‘Oh, I was inside a computer the whole time’. So I thought, ‘I’m just going to chuck out any sense of what I think a Black Mirror episode is.'”
The Emmy-winner writer added, “There’s no point in having an anthology show if you can’t break your own rules. Just a sort of nice, cold glass of water in the face.”
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Four New Nazca Lines Identified by Artificial Intelligence in?Peru
Using a form of artificial intelligence, researchers have discovered four new Nazca geoglyphs in Peru, according to?a new study?recently published in the?Journal of Archaeological Science.
The?Nazca lines?are UNESCO-protected geoglyphs dating from between 100 BCE and 300 CE that depict humans, camelids, birds, orcas, felines, and snakes. There is a range of theories surrounding their purpose, including that the Nazca geoglyphs depict deities, are a form of irrigation, or are a calendar with astrological alignments, though it remains unclear.
Discovered about 100 years ago with the advancement of aerial technology, the geoglyphs are nearly impossible to decipher from the ground.
Researchers at Yamagata University in Japan developed and trained the AI-driven deep learning technology to spot the lines from satellite images.
DL, as the researchers explain, “is a particular kind of machine learning that achieves great power and flexibility in pattern analysis of images, speech, language, and more. In?archaeology, DL is used in the analysis of the iconography, text, and writing of excavated objects.”
While the variability in design and limited subset posed a challenge with training the AI program, researchers were able to develop a new approach to detecting geoglyphs based on similarities to other known designs.
Four new geoglyphs were identified during this process. Of the four, they depict a human-like figure holding a club, a pair of legs or hands stretching more than 250 feet, a fish, and a bird. The new designs were subsequently verified during on-site visits.
“We could identify new geoglyph candidates approximately 21 times faster than with the naked eye alone,” said researchers. “The approach would be beneficial for the future of archaeology in a new paradigm of combining field survey and AI.”
Late last year,?the team discovered 168 new geoglyphs?using aerial photography and drone images.
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