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Cotton is the primary source of natural fiber on Earth, yet only four of 50 known species are suitable for textile production. Computer scientists at DePaul University applied a bioinformatics workflow to reconstruct one of the most complete genomes of a top cotton species, African domesticated Gossypium herbaceum cultivar Wagad. Experts say the results give scientists a more complete picture of how wild cotton was domesticated over time and may help to strengthen and protect the crop for farmers in the U.S., Africa and beyond.

The findings are published in the journal G3 Genes|Genomes|Genetics. Thiru Ramaraj, assistant professor of computer science in DePaul’s Jarvis College of Computing and Digital Media, is lead author on the publication. Leaps in technological advancement in the past decade made it possible for Ramaraj to analyze the in his Chicago lab.

“The power of this technology is it allows us to create high-quality genomes that supply a level of detail that simply wasn’t possible before,” says Ramaraj, who specializes in bioinformatics. “This opens up the possibility for more researchers to sequence many crops that are important to the and to feeding the population.”

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AI is amazing. It is all the rage these days. Companies everywhere are jumping on the AI bandwagon. No one wants to be left behind when true believers are raptured to the mainframe in the sky.

What makes the AI work?

The AI works because of information it gained from a human generated dataset. Let’s label the dataset D.

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For the first time, U.S. regulators on Wednesday approved the sale of chicken made from animal cells, allowing two California companies to offer “lab-grown” meat to the nation’s restaurant tables and eventually, supermarket shelves.

The Agriculture Department gave the green light to Upside Foods and Good Meat, firms that had been racing to be the first in the U.S. to sell meat that doesn’t come from slaughtered animals — what’s now being referred to as “cell-cultivated” or “cultured” meat as it emerges from the laboratory and arrives on dinner plates.

The move launches a new era of meat production aimed at eliminating harm to animals and drastically reducing the environmental impacts of grazing, growing feed for animals and animal waste.

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Google testers now have the chance to check out another new Duet AI feature in Google Workspace. Starting today, they’ll see a new sidebar for Google Sheets. They can describe what they want to do and Duet AI can create a custom template to help them get the ball rolling.

According to Google, this could come in useful for those looking to carry out tasks that involve complex organization and tracking. The company suggests product roadmaps, company retreats and team budgets as potential use cases. If the feature works as intended, it could help save users a ton of time. It’s available in Workspace Labs for the time being.

Google has been quickly expanding the AI’s toolset since it announced Duet for Workspace at its I/O conference last month. When testers enter a prompt in the web version of Docs, Duet can generate text for them. It can automatically insert smart chips too.

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Artificial intelligence has possibly been the most popular term in 2023 so far – many industries are starting to explore new problem-solving possibilities thanks to machine learning technologies. The automotive industry isn’t lagging behind with many companies already using AI for different tasks within their research and development divisions. Toyota now announces it is starting to research AI-based car design thanks to its generative artificial intelligence technique developed by the Toyota Research Institute (TRI).

Don’t worry – your next Tacoma truck won’t have a purely AI-designed exterior. Instead, Toyota wants to use the technology in the early design stages where different iterations of a certain project are needed for engineering considerations. Or, simply put, if the automaker decides to build a new large two-door coupe, it could ask AI to generate a number of early designs based on preset parameters. Such is the case with the rendering you see attached at the top of this article – it has been created by artificial intelligence.

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Maryland-based IonQ is expanding the commercial availability of its next-generation Forte quantum computer — and ramping up its research and production facility in the Seattle area to work on the next, next generation.

Forte is expected to bring the quantum frontier closer to the point that customers can start running real-world applications rather than merely experimenting with quantum capabilities, said Chris Monroe, co-founder and chief scientist at IonQ.

“We’re not talking a decade away here anymore,” he told GeekWire.

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The company opened the first fundraiser August 4, saying at the time that the funds “would be used for general corporate purposes, including working capital, general and administrative matters, development of its spaceship fleet and other infrastructure to scale its commercial operations.”

Virgin Galactic had cash and securities totaling $874 million at the end of the first quarter, it reported in May.

The company has a single carrier aircraft, VMS Eve, and one spacecraft, VSS Unity, which it has said can conduct flights as frequently as once a month.

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In a scientific first, researchers have used machine learning-powered AI to design de novo enzymes — never-before-existing proteins that accelerate biochemical reactions in living organisms. Enzymes drive a wide range of critical processes, from digestion to building muscle to breathing.

A team led by the University of Washington’s Institute for Protein Design, along with colleagues at UCLA and China’s Xi’an Jiaotong University, used their AI engine to create new enzymes of a kind called luciferases. Luciferases — as their name implies — catalyze chemical reactions that emit light; they’re what give fireflies their flare.

“Living organisms are remarkable chemists,” David Baker, a professor of biochemistry at UW and the study’s senior author, said.

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Analyst Ming-Chi Kuo claims that Apple will “aggressively upgrade” its iPhone hardware to better integrate with the new Apple Vision Pro.

It’s only to be expected that Apple sees its Vision Pro as part of the company’s ecosystem of devices and services, but analyst Ming-Chi Kuo claims to know the specifics of Apple’s hardware plans.

Speaking of both the 2023 and 2024 iPhone releases, Kuo says that “Apple will aggressively upgrade hardware specifications to build a more competitive ecosystem for Vision Pro.”

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