The One Hundred Year Study on Artificial Intelligence, or AI100, is a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. One Hundred Year Study of Artificial Intelligence (AI) has its roots in a one-year study on Long-term AI Futures that we commissioned during my term of service as president of the Association for the Advancement of Artificial Intelligence (AAAI) in 2008-2009. Seven researchers will form the first AI100 standing committee. It and subsequent committees will identify the most compelling topics in AI at any given time, and convene a panel of experts to study and report on these issues.

We have seen how the internet of things and the growing phenomenon of'big data' will throw up major problems for consumers and citizens, problems that have as yet barely been grasped by most policy-makers. In this world of growing complexity, the potential for an unintended consequence becomes greater and greater from machines performing an action that was not anticipated. There are key issues, too, about our reliance on data at a time of massive data generation, data storing and data preservation which have the potential to both obscure results and generate injustices. Perhaps the greatest issue that we now face is caused by our blind faith in machines. We have invested them with certainty and – as we have pointed out – we trust them. Part of the reason for this is an odd confusion that has conflated the machines of the industrial age with the machines of the information age.

Chatbots are on the rise. Startups are building chatbots, platforms, APIs, tools, analytics. Microsoft, Google, Facebook introduce tools and frameworks, and build smart assistants on top of these frameworks. Multiple blogs, magazines, podcasts report on news in this industry, and chatbot developers gather on meetups and conferences. I have been working on chatbot software for a while, and I have been looking on what is going on in the industry.

HONG KONG--A Chinese venture-capital firm raised about 4.5 billion yuan ( 675 million) worth of fresh capital as the country's top venture firms are building up their cash piles amid a cooling environment for funding. Sinovation Ventures, co-founded by former Google Inc. and Microsoft Corp. executive Kai-Fu Lee, on Monday said it closed two venture capital funds aimed at deals. A new U.S. dollar-denominated fund of 300 million was raised from global investors; Apple Inc. supplier Foxconn Technology Group was the anchor investor. Sinovation Ventures also raised a new yuan-denominated fund of 2.5 billion yuan, larger than its previous 500 million yuan fund. Chinese startups are increasingly preferring to go public in China where they are likely to get higher valuations.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Here's the deal, you've probably never heard of SystemML, but you definitely need to know what it is. Not only will SystemML make you look awesome because machine learning is the hot topic right now, but it will also save you a lot of time and trouble. As a new data scientist I am constantly having to spend my time learning new technologies--most of which don't work very well. Here's the thing: SystemML actually does work very well. Because it only recently became open source, it's difficult to find material on how to get started, but that's quickly changing.

Steam rolled out of the pot, and my kitchen was filled with an intoxicating blend of scents. I'd cooked a turkey ragu before, but as soon as I opened the pot, I knew this would be an entirely different experience. There were the familiar, comforting notes of ground turkey and mushrooms, but there was also earthiness from the beets, the fire of serrano chile, and an unexpected brightness from the coriander seed (coriander seed!). My dinner wouldn't have been out of place at one of San Francisco's trendy food trucks or upscale restaurants, but coming out of my 15 IKEA pot, it was unbelievable. As I mixed in the pasta and ricotta cheese and took the first incredible bite, I realized that A.I. could do a lot more for me than just beating me at Go.

Fingerprints can be stolen, iris scans spoofed, and facial recognition software fooled. It has become increasingly challenging to unassailably authenticate a person's identity, so academic teams have turned to brain waves as the next step in biometric identification. Many of these efforts seek to outdo one another, boasting how accurately and accessibly they can verify a person's identity using electroencephalograph (EEG) data. In April, for example, a team in New York achieved 100 percent accuracy at identifying individuals using a skullcap with 30 electrodes. Last week, we reported on a simple set of earbud sensors that worked with 80 percent accuracy.

By the "end of 2016 more than 80 of the world's 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products", said Deloitte. On Monday Microsoft announced it had purchased Genee, a smart scheduling app startup. Genee's artificial intelligence technology will be integrated into Microsoft's Office 365. Microsoft has been actively acquiring similar businesses this year in order to make sure it is well placed for the digital revolution, which will see AI at its core. It has already purchased app development platform Xamarin, intelligent smartphone keyboard SwiftKey, and LinkedIn for more than 26 billion.

Jasper Kuria is the founder and editor of Capital & Growth. Q: You've been incredibly successful as a VC--you've had numerous major exits and been named to the Forbes Midas list several times. To what do you attribute your success? I think the most important thing about being successful in the venture business is being able to work with these great entrepreneurs. We try to find them at an early stage then roll up our sleeves and help them be successful.