Optical Character Recognition

The benefits this provides to finance, for instance, are plentiful. With RPA, you can automate a range of important finance tasks you'd do in SAP, such as invoice entry and collection, validation, reconciliation, payroll, and expense management. Even if your purchase orders or invoices are coming in via fax, mail, or emailed PDFs, computer vision and optical character recognition (OCR) can enter that data automatically, so employees don't have to type it manually.

On Thursday, Attorney General William Barr released a redacted version of the report produced by special counsel Robert Mueller. And strikethroughs look particularly bad!) You can also download the document to search it at your leisure. Disclaimer: This version of the Mueller report was processed using the Recognize Text feature of Adobe Acrobat Pro Version 2019.010.20099 The PDF was then exported into Microsoft Word.

AI and machine learning are breathing new life and business opportunities into that tired old phrase, "automating paper-based processes." I saw an example of how software developers can inject intelligence into business processes in this VIDEO interview at SAP TechEd with Dr. Matthias Sessler, technical enablement lead, SAP Leonardo Machine Learning Foundation. The demo showed image object detection combined with scene text recognition and optical character recognition (OCR), three of the 23 ready-to-use services on offer from the SAP Leonardo Machine Learning Foundation. Image object detection automatically identifies objects from images like a bus, and often tag teams with scene text recognition, which reads the fine print, such as the station name and line number. "With smartphones, it's so much easier for people to take a picture of something. However, developers need a toolbox so they can quickly build machine learning capabilities to make sense of these images and text," said Sessler.

AI and machine learning are breathing new life and business opportunities into that tired old phrase, "automating paper-based processes." I saw an example of how software developers can inject intelligence into business processes in this VIDEO interview at SAP TechEd with Dr. Matthias Sessler, technical enablement lead, SAP Leonardo Machine Learning Foundation. The demo showed image object detection combined with scene text recognition and optical character recognition (OCR), three of the 23 ready-to-use services on offer from the SAP Leonardo Machine Learning Foundation. Image object detection automatically identifies objects from images like a bus, and often tag teams with scene text recognition, which reads the fine print, such as the station name and line number. "With smartphones, it's so much easier for people to take a picture of something. However, developers need a toolbox so they can quickly build machine learning capabilities to make sense of these images and text," said Sessler.

For those of us who worry that Facebook may have serious boundary issues when it comes to the personal information of its users, Mark Zuckerberg's recent comments at Harvard should get the heart racing. Zuckerberg dropped by the university last month ostensibly as part of a year of conversations with experts about the role of technology in society, "the opportunities, the challenges, the hopes, and the anxieties." His nearly two-hour interview with Harvard law school professor Jonathan Zittrain in front of Facebook cameras and a classroom of students centered on the company's unprecedented position as a town square for perhaps 2 billion people. To hear the young CEO tell it, Facebook was taking shots from all sides--either it was indifferent to the ethnic hatred festering on its platforms or it was a heavy-handed censor deciding whether an idea was allowed to be expressed. Zuckerberg confessed that he hadn't sought out such an awesome responsibility.

For those of us who worry that Facebook may have serious boundary issues when it comes to the personal information of its users, Mark Zuckerberg's recent comments at Harvard should get the heart racing. Zuckerberg ostensibly dropped by the university last month as part of a year of conversations with experts about the role of technology in society, "the opportunities, the challenges, the hopes, and the anxieties." His nearly two-hour interview with the Harvard law school professor Jonathan Zittrain in front of Facebook cameras and a classroom of students centered on the company's unprecedented position as a town square for perhaps two billion people. To hear the young CEO tell it, Facebook was taking shots from all sides--either it was indifferent to the ethnic hatred festering on its platforms or it was a heavy-handed censor deciding whether an idea was allowed to be expressed. Zuckerberg confessed that he hadn't sought out such an awesome responsibility.

AI Foundry is aiming to further cut the time it takes to originate a mortgage by adding, among other things, artificial intelligence technology designed to improve on optical character recognition. The fintech firm on Tuesday launched a new "cognitive business automation platform" aimed at improving automated decision-making related to loans, and a new version of its Agile Mortgages technology, which loan officers use to automate the collection and organization of documents. The new technology classifies data and information that at a 90%-plus accuracy rate is "significantly more accurate than optical character recognition," according to a company press release. "Competition in the mortgage lending industry is intense, and while many companies have deployed point-of-sale solutions for the customer, the back-end processes have not undergone a digital transformation, until now," Steve Butler, founder and general manager of AI Foundry, said in a press release. How does your digital mortgage stack up? "We will truly disrupt the'status quo' by automating the mortgage application process and enabling lenders to complement those front-end capabilities with one-day mortgage approvals. This not only opens enormous potential for acquiring and delighting new customers; it also drives down the cost per mortgage, so lenders can be more profitable."

The most advanced wearable assistive technology device for the blind and visually impaired, that reads text, recognizes faces, identifies products and more. Intuitively responds to simple hand gestures. Real time identification of faces is seamlessly announced. Small, lightweight, and magnetically mounts onto virtually any eyeglass frame. Tiny, wireless, and does not require an internet connection.

For the next seven weeks, anyone who's inclined can go to 205 Hudson Street in New York City and take over someone else's apartment. Smart devices like the kettles, lighting and speakers of four homes connect directly to laptops in the corner of an art gallery. Cameras are trained on bathrooms, kitchens and living areas. Visitors can sit down and become a human Alexa, playing music, eavesdropping on conversations through microphones and communicating with the inhabitants via text-to-speech. Each home -- three in Brooklyn, one in San Francisco -- will be "live" for two hours a day.

The Advocate reported Saturday that the resolution adopted last month is just another link a long chain of USPS issues the city wants fixed. Plaquemine Mayor Ed Reeves says residents sometimes go days without mail. Residents say packages are sometimes thrown from delivery vans or delivered to the wrong address and expected mail sometimes never appears.