Hey guys, I'm looking to make an application that uses neural text to speech for my Python program. I'm not sure what open source SOTA is like, would love to get some reference repositories to check out, especially if they have demos.

Are you ready for R2D2 and C3PO to take over? No, Yes, Maybe or Does not compute? Ready or not, Machine Learning and Artificial Intelligence (AI) are steadily taking over every aspect of routine life including automation in the field of IP. In all aspects of life, the AI revolution is here to help us, even though the solution is removing the human broker from the workflow. Over the last 20 years, Machine Learning and AI have helped to change and shape the IP patent information industry.

With each delivery cycle, measure the results, see the impact of AI, and use that to raise awareness with the C-Suite on how AI can transform operations. Many packaged cognitive services, such as optical character recognition, sentiment analysis, or speech to text, are very easy to implement. However, to leverage these appropriately, one must understand how each solution can fit within overall business processes and where it must be applied to accelerate intelligent automation. Beyond plug-and-play cognitive services, organizations can start to explore custom machine learning algorithms to create unique predictive models based on their business data. Accessing the technology to enable this is straightforward, but understanding an organization's unique data and process requirements to apply machine learning to maximum impact remains the biggest challenge.

Whether you're aware of it or not, artificial intelligence (AI) has a ubiquitous presence in our lives today – think the personalised playlists on Spotify or the'Recommended for you' lists on Netflix, both of which use AI to curate a selection tailored just for you. Now its presence is being felt in the area of document management, with AI and cognitive computing set to revolutionise the ways in which we store, archive, process and extract information. Here are 5 ways AI is transforming document management systems . Automatic classification and processing - While OCR (optical character recognition) technology allows for text recognition, AI takes this a step further by being able to "read" the information on that document, classify it correctly and automate workflows based on that classification – all at a fraction of the speed a human could. While the system is initially guided by a set of rules, its identification and processing capabilities continue to improve using machine learning, meaning it is able to learn from repeated exposure to documents, as well as from the actions taken by employees upon those documents.

This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections: Throughout this video course, three image processing libraries: Pillow, Scikit-Image, and OpenCV are used to implement different computer vision algorithms. The course will help you build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we look at in the course are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet. Saurabh Kapur is a computer science student at Indraprastha Institute of Information Technology, Delhi. His interests are in computer vision, numerical analysis, and algorithm design.

Not even the highest Roman Catholic church archivists know what's hiding in the archives' endless volumes, which are carefully stored near the Sistine Chapel. Only a tiny amount of these archives have been digitized–the rest is an endless ocean of inaccessible papers and parchments. Going through its tomes in search of something would be a task that not even the goddess Minerva herself would be able to accomplish. Some libraries have used technology to digitize their collections, like Optical Character Recognition software that's trained to recognize fixed, separated individual letter shapes. However, OCR is useless when it comes to the endless variety of free-flowing cursive styles featured in many of the Vatican's tomes, which go all the way back to the eighth century.

Somewhere within the Vatican exists the Vatican Secret Archives, whose 53 miles of shelving contains more than 600 collections of account books, official acts, papal correspondence, and other historical documents. Though its holdings date back to the eighth century, it has in the past few weeks come to worldwide attention. This has brought about all manner of jokes about the plot of Dan Brown's next novel, but also important news about the technology of manuscript digitization. It seems a project to get the contents of the Vatican Secret Archives digitized and online has made great progress cracking a problem that once seemed impossibly difficult: turning handwriting into computer-searchable text. In Codice Ratio is "developing a full-fledged system to automatically transcribe the contents of the manuscripts" that uses not the standard method of optical character recognition (OCR), which looks for the spaces between words, but a new way that can handle connected cursive and calligraphic letters.

The U.S. Postal Service is reporting another quarterly loss. That's because strong gains in package deliveries were outweighed by an unrelenting decline in mail volume and the costs of its health care and pension obligations.

In Italy, 120 high school students helped solve a centuries-old problem: how to give researchers access to the Vatican Secret Archives, a massive collection of documents detailing the Vatican's activities as far back as the eighth century. That should look pretty great on their college applications. The shelves of the Vatican Secret Archives are about 85 kilometers (53 miles) long and house 35,000 volumes of catalogues. But the documents that researchers have scanned and uploaded take up less than an inch. That's because the Vatican seems to not have wanted to share the information.

The Vatican Secret Archives comprise 600 collections of texts spanning 12 centuries, most of which are nearly impossible to access. The Atlantic reports that a team of scientists is hoping to change that with help from some high school students and artificial intelligence software. In Codice Ratio is a new research project dedicated to analyzing the vast majority of Vatican manuscripts that have never been digitized. When other libraries wish to make a digital archive of their inventory, they often use optical-character-recognition (OCR) software. Such programs can be trained to recognize the letters in a certain alphabet, pick them out of hard-copy manuscripts, and convert them to searchable text.