Researchers have come up with a prototype brain-to-PC transcription system that grabs words you imagine and projects them on a PC screen.

Jamie Henderson, a professor of neurosurgery at Stanford University, says users of the system simply need to imagine that they’re writing with a pen and the system does the rest — rendering their words on-screen.

The system works by using small arrays of sensors, which are implanted just under the surface of the brain, according to Matthew Sparkes, a writer for New Scientist.

Those sensors are specially designed to grab neuronic brain signals associated with the act of writing — and send that data to specially designed software that translates the signals into words.

Currently, the system operates at a speed of 90 characters-per-minute.

In other AI-generated writing news:

*In-Depth Review: The Top Five AI Writing Assistants for Consumers: TechRadar reviewer Anna Sevilla offers a great rundown on the leading AI writing assistants on the market right now in this piece.

Costs for the assistants run about $20 to $70 a month — well within the budgets of many everyday consumers.

Tops on Sevilla’s list of AI Writing Assistants: Writesonic.

Sevilla likes Writesonic for what she says is one of its greatest strengths: The ability to complete blog posts automatically.

Writesonic is also reliable at automatically generating ad titles, blog article ideas, growth ideas, and landing pages, according to Sevilla.

Adds Sevilla: “Some users report the need to tweak a little more before posting the copy generated by Writesonic. Around 60% of it is ready for posting. So you have around 40% to deal with, and everything is good to go.”

Also among the top five in descending order reviewed by Sevilla in this piece are:

*Article Forge

*WordAI

*AI Writer

*Articoolo

*Designing an AI-Ready Career in Journalism: Journalists looking to deeply integrate AI into their skill-set will want to take a look at this piece.

It describes how two AI evangelists with interests in AI and journalism have forged careers that merge both.

One of their key takeaways in creating their hybrid careers, according to writer Sabrina Argoub: ” Working with AI in a newsroom requires a good combination of technical knowledge and soft skills such as versatility, emotional intelligence, and interpretation.”

*Google Releases AI Document Processing Tools Worldwide: Google has released AI-powered document processing tools that had previously been available to only select businesses for testing.

Tools now ready for prime time include DocAI Platform, Lending DocAI and Procurement DocAI.

Each of the tools uses AI to help automate the processing of documents for specific purposes. Lending DocAI, for example, helps financial institutions auto-process lending related documents.

*SAP Expands AI Translation in Customer Support: Enterprise software maker SAP is increasingly relying on AI-powered translation to make its knowledge base articles and similar written support for its software available in a number of languages.

Says Mohammed Ajouz, global head of product support, SAP: “Even though it is widely accepted by our customers that our support is provided mainly in English and that our content and knowledge bases are also in English, our goal is to provide a more personalized service to our customers.”

The move makes sense, given that SAP’s latest system — SAP S/4 HANA Cloud — is already tightly integrated with AI, according to Seyman Albarino, a writer for Slator.com

*New AI Service for Video Translation Launches: Williams AV has launched a new service that offers real-time translation, open-captioning and archiving for audio and video.

Powered by Google AI, the system — dubbed Convey Video — can transcribe 27 languages and more than 70 dialects.

In addition to real-time continuous translation, the system also provides speech-to-text transcription and archiving of all events.

*New AI Tool Analyzes Torrents of Documents-Per-Hour: Linguamatics has released a new AI-driven tool that can analyze millions of documents-per-hour.

Dubbed Linguamatics NLP Data Factory, the tool is designed for organizations looking to sift through mountains of text-based data for insights that are important to them, according to the company.

One Linguamatics client, for example, can process more than 500,000 documents-per-hour to glean insights from medical records, according to Calum Yacoubian, associate director of healthcare product and strategy, Linguamatics.

*Newsrewired Conference Includes Talk on AI and Journalism: The online gathering this week, organized by Journalism.co.uk, includes a look at ‘How Artificial Intelligence Can Help Solve Journalism’s Problems.’

Speakers slated to present May 18 are:

~Emilia Diaz Struck
Research Editor
International Consortium of Investigative Journalists

~Cecile Schneider
Product Lead
BR AI + Automation Lab, Bavarian Broadcasting

~Gabriel Kahn
Founder and Publisher
Crosstown

*$3 Million Awarded to Foster AI at Local News Organizations: The Knight Foundation has awarded grants totaling $3 million to help integrate AI on the local news level.

Specific beneficiaries are:

~The Associated Press, which plans to create an AI training and development program for at least 50 news organizations

~Columbia University, which plans to develop open source AI software that can be used to automatically personalize content for readers

~NYC Media Lab, which will bring together AI news experts to help local news organizations better understand and implement AI

~The Partnership on AI, which will investigate the ethical implications of AI in journalism

*Doubting the AI Takeover: News of the impending demise of flesh-and-blood types at the hands of AI has been greatly exaggerated, according to John Horgan.

Horgan — who is featured in this piece — is a long-time science writer and the author of a number of science-related tomes.

Adds Mind Matters News: “We don’t hear much about failures, stalls, and dubious claims around AI because, generally speaking, media follow a special standard when covering it: Progress is simply assumed.

“Outrageous hype is forgivable. Astounding claims are not queried. Stalls and failures are minimized rather than highlighted.

“And the possibility that some prophesied advances may be impossible in practice because the problems are not computable is seldom entertained — possibly not even understood.”

Share a Link:  Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.

–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.