DeepMind is now capable of teaching itself based on information it already possesses. In a significant step forward for artificial intelligence, Alphabet's hybrid system -- called a Differential Neural Computer (DNC) -- uses the existing data storage capacity of conventional computers while pairing it with smart AI and a neural net capable of quickly parsing it. TNW Momentum is our New York technology event for anyone interested in helping their company grow. "These models can learn from examples like neural networks, but they can also store complex data like computers," wrote DeepMind researchers Alexander Graves and Greg Wayne. Much like the brain, the neural network uses an interconnected series of nodes to stimulate specific centers needed to complete a task.

Get started with Machine Learning with 6 evening sessions where you'll learn how to use Machine Learning to solve real problems. We'll walk through several common problems and use Machine Learning techniques to solve them. This will give you a clear understanding of the concepts as well as a comprehensive overview of the available tools and libraries. We will use the popular TensorFlow and Scikit-Learn libraries. We'll also look at other major open source projects available and their specific strengths and weaknesses so you'll know exactly what to use for your next project.

What happens when two human political journalists compete against a computer over which can do the best job predicting the issues that will dominate the news in the presidential election? Well, you are about to find out. The two humans and the computers each got to predict five issues per presidential candidate that would get the most coverage in the news and on the blogs between Sept. 12 and Oct. 12. (The time frame covers only a few days of the release of the Donald Trump's lewd comments about women. So the final list isn't dominated by that controversy.) The two humans are Simon Maloy of Salon.com and Jonah Goldberg of the National Review.

We surround ourselves with technology that is able to help us in our daily lives. The success of autonomous cars, advancements in clinical research and personal digital assistants has shown the incredible potential of technology and how far it has come in recent decades. Despite the progress that many other industries have made, healthcare is likely to be the one market where artificial intelligence can truly have an impact that goes beyond convenience and positively affects human lives. Is the information collected by Fitbits and Apple Watches covered by HIPAA regulations? Find out more about what's covered – and what isn't – when it comes to wearable devices and data so you can avoid the risks.

Mount Sinai Health System announced that it has tapped CloudMedx to help pinpoint people at risk of congestive heart failure as part of its emerging program dubbed HealthPromise. The plan is to harness CloudMedx predictive insights for evidence-based care interventions to reduce readmissions and, ultimately, improve patient outcomes. "We are passionate about bringing advanced analytics to the forefront of managing our chronic patients and improving our patient well-being," Ashish Atreja, MD, chief technology innovation and engagement officer in medicine at Icahn School of Medicine at Mount Sinai, said in a statement. "As an industry, we do not have a sufficiently sophisticated tool to predict certain things such as disease progression and resulting readmissions in hospitals," Atreja added. "We are working with CloudMedx to use new guidelines and algorithms, using clinical data to determine these risks and predictors." Atreja explained that the CloudMedx AI platform can ingest and process large amounts of data and compute big data analytics.

Artificial intelligence, machine learning and advanced algorithms are at the heart of an emerging digital world. That was one of the chiefs components of Gartner's Peter Sondergaard, senior vice president and global head of Research opening remarks at today's Gartner Symposium/ITxpo show in Orlando. More on Network World: Will future developments in the realm of Artificial Intelligence be like the wild west or a more controlled situation? "CIOs will participate in the building of a new digital platform with intelligence at the center," Sondergaard said told a crowd of more than 8,000 CIOs and IT leaders. "The new competitive differentiator is understanding the customer's intent through advanced algorithms and artificial intelligence. Creating new experiences that solve problems customers didn't realize they had."

Jason Lim for Forbes: Every year there is a new hot topic in tech. The difference between now and the past is that everything is becoming interconnected at a faster rate. We are entering an extremely critical time in history where society will change dramatically – how we work, live and play. Science fiction is morphing into reality. Flying cars exist, cars that drive themselves are on the road, and artificial intelligence that automates our lives is here.

You can always count on Google to have data -- tons of it, generated by the users who interact with and upload content to its services. Google uses that data to build intelligence for the company, but it's offered data for others to experiment with as well. These three data sets are abundantly large, have plenty of practical applications, and are guaranteed to be well-assembled, thanks to Google's imprimatur. The Open Images Dataset, unveiled at the end of last month, is a collection of 9 million URLs to images "that have been annotated with labels spanning over 6,000 categories," according to Google. All have a Creative Common Attributation license, so they can be reused readily, and the label assignments to the images have been verified by human eyes to ensure validity. Plus, plans are underway to "improve the quality of the annotations in Open Images the coming months."

This post was authored by Rimma Nehme, Technical Assistant, Data Group at Microsoft. Today, the business potential of Machine Learning and AI is real. Businesses can apply ML and AI to transform, optimize and automate their businesses having previously relied only on human intelligence. You may wonder, 'how can I apply AI to my business?' This blog post describes some of the ways you can do that using the resources in the Cortana Intelligence Gallery, without a PhD in Machine Learning or AI or even a deep expertise in these subjects.

Chinese search engine giant Baidu is launching a "conversational" medical chatbot designed to make diagnosing illnesses easier. The bot is named Melody and comes built into the company's iOS and Android Baidu Doctor app, which launched in China in 2015. Baidu Doctor allows users to contact local doctors, book appointments, and ask questions, with the chatbot intended to speed up this process. Melody builds on the Baidu Doctor app, which launched in China in 2015. Patients can open the app and ask a question, and Melody will respond with context-relevant questions to clarify information such as symptom frequency or duration.