Morphing Protein Writes AI-Generated Story

Researchers at the University of Maryland have developed an AI-generated writing tool to tell the story of how a protein morphs over time.

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Essentially, the AI app is triggered to start writing when a protein changes its shape.

“Here we show the same AI architectures used to complete sentences when writing emails can be used to uncover a language spoken by the molecules of life,” says Pratyush Tiwary, an assistant professor at the University of Maryland specializing in biochemistry and technology.

He’s also senior author on the research.

“We show that the movement of these molecules can be mapped into an abstract language, and that AI techniques can be used to generate biologically truthful stories out of the resulting abstract words,” Tiwary says.

In other AI-generated writing news:

*AI Web Site Editor Wins Journalism Award: One of the winners of the 2020 Online Journalism Awards is a robot.

Sophi Automation, a tool that curates where news stories should be placed on Canada’s The Globe and Mail Web site, brought-home-the- bacon in the category of technical innovation.

Currently, Sophi is “responsible for curating 99% of published content, examining how each piece is likely to contribute to subscriber numbers and advertising revenue,” according to TechRadar writer Barclay Ballard.

*New AI Tool Auto-Generates Social Media Posts: An Israeli firm has released a new tool that auto-creates social media posts from a single link.

Says Daniel Kushner, CEO of Oktopost, maker of the tool: “Our customers publish a lot of content on social media, and Oktopost is continuously helping them optimize this process.

“This time, we’ve cracked the most time-consuming part of social media management – content creation.

“Our new AI Message Generator is an extremely smart tool that enables marketers to reclaim their precious time and focus on human-required tasks.”

Oktopost is a social media management platform.

*IBM’s AI-Driven Debating Tool Wows on Bloomberg TV: IBM’s new debating tool – Key Point Analysis – got a test-drive on Bloomberg’s new TV show, “That’s Debatable.”

The AI tech put together an argument on the proposition, “It’s time to redistribute wealth,” by ingesting 3,500 position papers as well as input from viewers.

Specifically, the app generated 1,600 usable arguments and 20 key points on the debating subject.

The analysis helped move the debate along, which featured top government policy makers.

Systems like Key Point Analysis and IBM Debater could be a harbinger of op-ed pieces in newspapers, journals and magazines, according to Cait O’Riordan.

She’s chief product and information officer at the Financial Times.

Adds Calum Chace, a writer for Forbes: “There is a genuine question about whether new thought leaders will find it harder to get established,” should solutions like Key Point Analysis start popping-up at publishing houses.

*A Look at Automated Legal Documents: Alex Melehy, CEO, Woodpecker, is interviewed in this 11-minute podcast on how AI is automating the creation of legal documents.

Woodpecker’s platform enables lawyers to auto-write frequently used legal documents using standardized templates – all from within Microsoft Word.

Key benefits of automated legal documentation, according to Woodpecker, include:

~Document Version Control: With documentation, frequently used documents are turned into easily accessed templates.

~Standardization: Relying on templates enables a firm to standardize language use across all the legal documents it generates, greatly reducing the risk of errors or unfortunate manipulation of language.

~Clause Libraries: These digital storehouses enable users to standardize frequently used language and contract clauses.

~Conditional Logic: Such logic – relying on an if-then-else format — enables users to embed all the possible options that are available for a document.

*Primer Snags AI Military Contract to Detect Fake Content: AI content analysis firm Primer has won a multi-million dollar contract with the U.S. Airforce to detect and analyze disinformation on the Web.

Observes Brian Raymond, director, national security group, Primer: “At Primer, our mission is to illuminate the truth.

“Right now, we’re living in a world where the most dangerous form of cyberwar is the fight to hijack our minds and belief systems.

“If we want democracy to keep working, we have to have a shared ground truth.

“But there’s an asymmetry in this fight, because it’s much cheaper to conduct information warfare attacks than it is to identify and defend against them.

“This is why we need to deploy AI and ML (machine learning) solutions to support the humans leading the fight.”

AI-generated writing analysts have grown increasingly concerned that powerful auto-text generators like GPT-3 may be used to litter the Web with an unending stream of disinformation.

For an in-depth look at GPT-3, check out: “GPT-3 and AI Writing: Stunning, if Imperfect,” by Joe Dysart.

*Curating Content: The Legal and Ethical Way: Content curating service Scoop-it! offers advice on how to curate content the safe way in this piece.

While content curation – the practice of scooping-up published content from the Web, summarizing it and then posting a summary of that content on a blog or other Web property — is not AI-generated writing, the practice does accomplish the same end.

Essentially, these content curation systems eliminate the need for writers and editors by auto-creating content for use on Web sites and other digital properties.

Observes Larry Alton, an author on the Scoop-it! blog: “Curating content removes much of the heavy lifting that needs to be done in order to produce original content, while still engaging your audience and populating your social and content channels with valuable messaging that educates and nurtures.”

For an in-depth look at automated content curation systems, check-out: “AI-Created Newsletters: On the Cheap,” by Joe Dysart.

*Bing Adds AI to Tools: Bing has retrofitted its ‘AutoSuggest’ and ‘People Also Ask” tools with AI-generated writing tech.

Observes George Nguyen, a writer for Search Engine Land: “As part of Microsoft’s AI-at-Scale Initiative, the company has been building deep learning models that enable Bing to suggest queries on-the-fly.

Long term, as AI models like these “are developed and improved, search engines will be able to better understand content and how it relates to a user’s query,” Nguyen adds.

*How AI is Disrupting the Publishing Industry: Alinka Rutkowska, CEO at Leaders Press, offers an informed look at how AI-generated writing is skewing the publishing world in this Forbes piece.

Like many AI-generated writing enthusiasts, Rutkowska is wowed by the powerful new auto-text generator, GPT-3.

Observes Rutkowska of GPT-3: “This truly could be the beginning of AI writing great books — non-fiction to start with.

“As opposed to spending a year on writing your next best-seller, you might be able to feed the AI with articles and presentations you’ve already produced and have it generate a book for you in a matter of seconds.

“Publishing companies with access to this type of technology might be on the cutting edge of the AI revolution.”

*Coronavirus Goosing Job Automation: The raging Coronavirus –combined with automation — could result in a net loss of 85 million jobs by 2025, according to CNN.

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Essentially, both trends are driving businesses and organizations to rely more heavily on machines — and less on humans — to get work done.

Observes Hanna Ziady, CNN, Business: “Some workers whose jobs are vulnerable may be able to move into new careers, according to the report, which found that 94% of businesses surveyed expect employees to pick up new skills on the job — a sharp increase from 65% in 2018.”

*Special Feature: Company Reports That Write Themselves

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Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.

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