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The same AI technology used to mimic human art can now synthesize artificial scientific data, advancing efforts toward fully automated data analysis.

Researchers at the University of Illinois Urbana-Champaign have developed an AI that generates artificial data from microscopy experiments commonly used to characterize atomic-level material structures. Drawing from the technology underlying art generators, the AI allows the researchers to incorporate and experimental imperfections into the generated data, allowing material features to be detected much faster and more efficiently than before.

The study, “Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images,” was published in the journal npj Computational Materials.

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“The fraud was so easy to commit. All of the information was self-reported and none of it was verified or checked,” Haywood Talcove of LexisNexis Risk Solutions told The Post.

“During the height of the pandemic, it was really hard to purchase [luxury] items like a Rolls-Royce, or a high-end Mercedes because you had people walking in with cash from the PPP program to purchase those items for whatever the dealer was asking,” Talcove said.

Justice might finally be catching up with some of the fraudsters: A total of 803 arrests have taken place as of May 2023 for pandemic fraud, the SBA said.

To advance our capabilities in protein engineering, MIT CSAIL researchers came up with “FrameDiff,” a computational tool for creating new protein structures beyond what nature has produced. The machine learning approach generates “frames” that align with the inherent properties of protein structures, enabling it to construct novel proteins independently of preexisting designs, facilitating unprecedented protein structures.

“In nature, protein design is a slow-burning process that takes millions of years. Our technique aims to provide an answer to tackling human-made problems that evolve much faster than nature’s pace,” says MIT CSAIL PhD student Jason Yim, a lead author on a new paper about the work. “The aim, with respect to this new capacity of generating synthetic protein structures, opens up a myriad of enhanced capabilities, such as better binders. This means engineering proteins that can attach to other molecules more efficiently and selectively, with widespread implications related to targeted drug delivery and biotechnology, where it could result in the development of better biosensors. It could also have implications for the field of biomedicine and beyond, offering possibilities such as developing more efficient photosynthesis.

Photosynthesis is how plants and some microorganisms use sunlight to synthesize carbohydrates from carbon dioxide and water.

Decision theorist Eliezer Yudkowsky has a simple message: superintelligent AI could probably kill us all. So the question becomes: Is it possible to build powerful artificial minds that are obedient, even benevolent? In a fiery talk, Yudkowsky explores why we need to act immediately to ensure smarter-than-human AI systems don’t lead to our extinction.

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Influential AI leader Emad Mostaque, CEO of Stability AI, claims the industry is about to explode.

During a virtual roundtable held by Swiss investment bank UBS on Thursday, Emad Mostaque, CEO of Stability AI, claimed that AI is only at its infancy despite its growing popularity.

This is according to a report by Business Insider published on Friday that quoted the top AI expert directly.

ChatGPT decreased the time it took workers to complete certain writing tasks by 40 percent and increased output quality by 18 percent.

A new MIT study has found that access to the assistive chatbot ChatGPT decreased the time it took workers to complete certain writing tasks by 40 percent and increased output quality by 18 percent.

This is according to a press release by the institution published on Friday.

“What we can say for sure is generative AI is going to have a big effect on white collar work,” said Shakked Noy, a PhD student in MIT’s Department of Economics, who co-authored the paper with fellow PhD student Whitney Zhang ’21.

CEO Suumit Shah said that after the integration of the AI, the response time of their customer support service went down from one minute and 44 seconds to zero seconds.

An Indian startup is claiming that it replaced 90 percent of its support staff with an artificial intelligence-powered chatbot called Lina.

Suumit Shah said that after the integration of the AI, the response time of their customer support service went down from one minute and 44 seconds to zero seconds. And the time taken to resolve a query went down from two hours and 13 minutes to three minutes… More.


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In what many are calling a ‘heartless’ and ‘insensitive’ move, the CEO of the company Dukaan took to Twitter to make the announcement.