Keep may forever be one of the more underrated apps in Google's stable, but that hasn't stopped its development. And there's a new version on its way to the Play Store that adds a subtle but important new feature for note-takers. If you're someone who likes to scribble in Keep rather than type, Google has implemented a way to convert your handwriting into text. Once the new update lands in the Play Store (or if you can't wait, sideload the Google-signed APK from APKMirror), you'll see a new Grab image text option in the top-right menu. Tap it when you're done drawing and it will attempt to convert any words it sees to actual text. It's a similar trick to the optical character recognition Keep uses to pull text out of images--and there's no guarantee it will be able to decipher your chicken scratch--but it should be a nifty tool for old-fashioned note-takers.

Amazon today announced three new artificial intelligence-related toolkits for developers building apps on Amazon Web Services. At the company's AWS re:invent conference in Las Vegas, Amazon showed how developers can use three new services -- Amazon Lex, Amazon Polly, Amazon Rekognition -- to build artificial intelligence features into apps for platforms like Slack, Facebook Messenger, ZenDesk, and others. The idea is to let developers utilize the machine learning algorithms and technology that Amazon has already created for its own processes and services like Alexa. Instead of developing their own AI software, AWS customers can simply use an API call or the AWS Management Console to incorporate AI features into their own apps. AWS CEO Andy Jassy noted that Amazon has been building AI and machine learning technology for 20 years and said that there are now thousands of people "dedicated to AI in our business."

A new kind of speech synthesiser can translate the movements of your mouth directly into words, without the need for you to use your voicebox.It works by measuring the movements of your mouth and converting them into sounds using an artificial intelligence network Why Mars astronauts risk going BLIND: Scientists finally... Google says its artificial intelligence has taught itself to... Rise of the'cellfie': Parents-to-be can now see pictures of... Why Mars astronauts risk going BLIND: Scientists finally... Google says its artificial intelligence has taught itself to... Rise of the'cellfie': Parents-to-be can now see pictures of... Barron Trump clapping during his father's appearance at RNC Penny for your thoughts: Cute baby laughs at hearing dad say 4p Mob storm police station and lynch suspected paedophile Raging bull destroys car with horns at Spanish festival Bear with us!: Workers rescue bear under concrete pit in Turkey Homeless man has zebra-skin slipcovers & porcelain toilet'Do you know who I am?: 'Angry' cyclist confronts motorist 100 special police agents protect suspected paedophile from mob Girlfriend confronts'cheating boyfriend' at supermarket It was a long and tiresome night for 10-year-old Barron Trump Surprise Castro is dead: Florida grandmother is shocked! 'Do you know who I am?: 'Angry' cyclist confronts motorist Girlfriend confronts'cheating boyfriend' at supermarket Surprise Castro is dead: Florida grandmother is shocked! Trump nemesis Rosie O'Donnell is slammed after speculating... Armed attacker shot dead by cops after mowing down students... Homeless man who turned freeway underpass into a personal... Donald goes to war as Hillary backs recount: Trump accuses... £100 million bed-hopping hypocrite: He claimed he lived on... ISIS fighters target Israel for the first time and are... Thousands of fans BOO Colin Kaepernick in Miami after he... Trump launches furious morning Twitter rant at Hillary,... REVEALED: California supermom was heavily beaten and chained... The Seattle Nike outlet that was completely TRASHED by Black... Skating on thin ice: Wife of Vladimir Putin's spokesman... Outrage as Prince Harry is forced to take part in an... Trump nemesis Rosie O'Donnell is slammed after speculating... Armed attacker shot dead by cops after mowing down students... Homeless man who turned freeway underpass into a personal... Donald goes to war as Hillary backs recount: Trump accuses... ISIS fighters target Israel for the first time and are... Thousands of fans BOO Colin Kaepernick in Miami after he... Trump launches furious morning Twitter rant at Hillary,... REVEALED: California supermom was heavily beaten and chained... The Seattle Nike outlet that was completely TRASHED by Black... Outrage as Prince Harry is forced to take part in an...

Information extraction involves classifying data items that are stored in plain text, and is a major area of research for machine learning scientists. Last week, a research team from MIT introduced a new approach to information extraction for machine learning systems at the Association for Computational Linguistics' Conference on Empirical Methods on Natural Language Processing, and won a best-paper award. Instead of feeding their system as much data as possible, the team's winning approach takes a different route and focuses on a much smaller data set, a similar process used by human beings – if you're reading a paper that you don't understand, you're likely to do a search on the web and find articles that you are able to understand. This new system approach does something similar; if the system's confidence score is low in assessing a particular text, it will query for more information, pulling up a handful of new articles from the web that correlate with a specific set of terms. In future, this model could be applied to sparse data and save much time in reviewing databases.

As part of Google's slew of artificial intelligence announcements today, the company is releasing a number of AI web experiments powered by its cloud services that anyone can go and play with. One -- called Quick, Draw! -- gives you a prompt to draw an image of a written word or phrase in under 20 seconds with your mouse cursor in such a way that a neural network can identify it. It's both a hilarious and fascinating exercise with broader implications for how AI can self-learn over time in key AI research areas like image recognition and optical character recognition. Quick, Draw! is a great way to familiarize yourself with how neural networks work to identify objects and text in photos, which is one of the most common forms of AI-guided software techniques we see daily on platform's like Facebook and Google Photos. As you start to craft the doodle, Quick, Draw!'s software automaton will start yelling out words and phrases it thinks you're trying to illustrate.

Robotic process automation (RPA) can be the true antidote to manual, rote work, or it can be our worst nightmare if you listen to all the drama or the hype. RPA centers on the use of artificial intelligence (AI) to apply human-like thinking to streamline a typically manually intensive process or activity; and whether we like it or not, it's here to stay. Take, for instance, the process of data extraction from documents such as invoices. Application of advanced optical character recognition (OCR) and intelligent document recognition can automate a significant amount of the job of data entry typically performed by clerks or specialized data entry staff. Interestingly, human effort is still involved with attaining the ability to hand off a process or task to a machine.

Natural language processing (NLP) is quickly becoming one of the foundational big data technologies that will allow healthcare to move forward with complex analytics, according to a series of market reports predicting significant growth for NLP products over the next few years. As healthcare organizations seek new strategies for extracting insights from unstructured data from electronic health records, Internet of Things devices, imaging studies, and elsewhere, they will create an NLP marketplace worth $2.65 billion by 2021, says ReportsnReports. "The market is growing rapidly because of the huge surge in clinical data, increasing use of connected devices, and evolving consumer needs," the report says. Natural language processing may play an instrumental role in precision medicine, predictive analytics, population health management, clinical decision support, and EHR documentation improvement. The NLP market is divided into several segments: interactive voice response and speech analytics technologies, optical character recognition (OCR), automatic coding, text analytics, and pattern and image recognition.

Renee Scholato says her dog, Tank, is just friendly, though she acknowledges the animal sometimes escapes from her home and did jump on the carrier. But she says the dog wasn't attacking or biting. The Postal Service has told residents that mail won't be delivered to Scholato's block in Washington, Pennsylvania, until the dog is properly restrained. Until then, those residents can pick up their mail at the post office, where it will be held for 30 days. Neighbor Brenda Dogle says she's upset about being punished for someone else's dog, saying neighbors "have to suffer because of one house."

The Postal Service has told residents that mail won't be delivered to Scholato's block in Washington, Pennsylvania, until the dog is properly restrained. Until then, those residents can pick up their mail at the post office, where it will be held for 30 days.

Austria based ANYLINE, the leading OCR Optical Character Recognition) technology provider for mobile devices, is solely focused on fast and accurate text recognition. Whether reading text across a room, a license plate on a car, or a gas meter in a manufacturing plant, the ANYLINE technology is able to deliver a fast and robust alternative to inputting data via voice recognition, typing, or button scrolling. This type of data import is still difficult to accomplish, as it requires a higher processor power and camera resolution. ANYLINE will now leverage the ... Read more