IBM announced that it will offer open data science platform Anaconda on IBM Cognitive Systems. Here’s how it could help your business.

In the past 10 years, the best-performing artificial-intelligence systems—such as the speech recognizers on smartphones or Google’s latest automatic translator—have resulted from a technique called “deep learning.”

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years. Neural networks were first proposed in 1944 by Warren McCullough and Walter Pitts, two University of Chicago researchers who moved to MIT in 1952 as founding members of what’s sometimes called the first cognitive science department.

Neural nets were a major area of research in both neuroscience and computer science until 1969, when, according to computer science lore, they were killed off by the MIT mathematicians Marvin Minsky and Seymour Papert, who a year later would become co-directors of the new MIT Artificial Intelligence Laboratory.

Tech development is no longer a linear process, and businesses have to respond accordingly.

Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with waiting a few extra seconds for our emails to push through doesn’t mean we have to simply stand by.

To help us make the most of these “micro-moments,” researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a series of apps called “WaitSuite” that test you on vocabulary words during idle moments, like when you’re waiting for an instant message or for your phone to connect to WiFi.

Building on micro-learning apps like Duolingo, WaitSuite aims to leverage moments when a person wouldn’t otherwise be doing anything — a practice that its developers call “wait-learning.”

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Good Fellows is a series of short films that focus on the unique and human stories of IBM Fellows. To be named a Fellow is to achieve the highest honor bestowed by IBM to its most outstanding technical employees.

Chieko Asakawa has been blind since the age of fourteen and for the past three decades has worked to further accessibility research and development. She was named IBM Fellow in 2009 and in 2013, the government of Japan awarded the Medal of Honor with Purple Ribbon to Chieko for outstanding contributions to accessibility research.

Today she is working with Carnegie Mellon University to find out how accessibility technologies can play a key role in the real world to help create opportunities for more people to actively participate in the society. Learn more about her NavCog project: http://bit.ly/2nNjV94

Money 2017 speakers Juergen Schmidhuber, Wirecard’s Joern Leogrande and Nutmeg’s Nick Hungerford discuss the changing face of AI-driven finance.

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Google’s DeepMind CEO Demis Hassabis shows that AI doesn’t only learn from human knowledge, but also creates new knowledge. AlphaGo has it own creativity and intuition, inventing new knowledge and strategies about Go Game for human professionals to study in 2017.

Go game was invented in ancient China more than 2,500 years ago, is an abstract strategy board game, aiming to surround more territory than the opponent for two players. It is believed to be the oldest board game continuously played today. Despite its relatively simple rules, Go is very complex, even more so than chess, and possesses more possibilities than the total number of atoms in the visible universe. Compared to chess, Go has both a larger board with more scope for play and longer games, and, on average, many more alternatives to consider per move.

Amper is a platform which enables anyone to make music with AI.

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At the Woodside operated Natural Gas Plant in Karratha, Western Australia, employees often work in challenging conditions. IBM Watson is making things a little easier, by allowing employees to ask technical questions via their tablets or computers. Watson has been trained with expert knowledge from thousands of employees, and can help provide project-related answers in minutes, instead of hours. Now if only he could do something about the 40-degrees Celsius average outside temperature.

Amazon.com Inc. is embracing artificial intelligence to deliver goods more quickly, enhance its voice-activated Alexa assistant and create new tools sold to others through its cloud-computing division, Chief Executive Officer Jeff Bezos said in his annual shareholder letter.