Introducing the world's first beer brewed by artificial intelligence We've created a premium beer that uses complex machine learning algorithms to improve itself from your feedback. After you've tried one of our four bottled conditioned beers, you can tell our A.I. what you think of it, via our online feedback system. This data is then used by our algorithm to brew the next batch. Because our A.I. is constantly reacting to user feedback, we can brew beer that matches what you want, more quickly than anyone else can. That means we get more data and you get a better, fresher beer.

An anonymous reader quotes a report from Gizmag: One of the most hotly contested bits of real estate today is one you can't see. As we move into an increasingly wireless-connected world, staking out a piece of the crowded electromagnetic spectrum becomes more important. DARPA is hoping to help solve this issue with its latest Grand Challenge, which calls for the use of machine-learning technologies to enable devices to share bandwidth. The Spectrum Collaboration Challenge (SC2) is based on the idea that wireless devices would work better if they cooperated with one another rather than fought for bandwidth. Since not all devices are active at all times, the agency says, it should be possible through the use of artificial intelligence machine-learning algorithms to allow them to figure out how to share the spectrum with a minimum of conflict.

Jibun Bank customers to take advantage of Alpaca's AI and Database technologies

There has been much written about the 80/20 rule and how it can be applied to different facets of our lives. At work, 20% of your time should be spent on passion projects. At home, ensure 20% of your time is spent doing the things that make you feel fulfilled. But what if we lived in a world where we could flip that equation, and instead spend 80% of our time on our passion, our creativity, and the things that drive our happiness? The advent of artificial intelligence, for all its undeniable promise, has brought about a lot of fear.

Artificial intelligence (AI) is slowly making a shift from the research and development stage to touching our lives wherever we go. With so many applications to choose from, it can get confusing as to what exactly artificial intelligence will be able to do over the next five to ten years. Here's a glimpse of the different areas in your life where AI can make a major difference. First of all, who are the companies at the forefront of this? The list is long, but you know these companies: IBM, Apple, Amazon, Facebook, Microsoft and Google are currently the biggest players in the artificial intelligence space.

Jibun Bank customers to take advantage of Alpaca's AI and Database technologies

Today's push behind machine learning and artificial intelligence is so powerful that it has led to some pretty high expectations for performance and deliverables. When it comes to business value and ROI, can it really live up to the claims? Evaluating the value of a full machine learning project requires moving past the hype and managing the realities of this evolving technology, one example at the time. We'll look at the realities of a pure machine learning approach through the lens of a typical enterprise use case. If we're to believe the past couple of years' worth of marketing hype, machine learning is a magic box, supported by an evolved approach, strengthened by the latest technology and most importantly, able to effortlessly produce results.

This is a machine learning conversational chatbot I created for FansUnite, a Vancouver based betting community. Using natural language the bot allows to you request odds/spreads, user picks, league hotpicks and all sport hotpicks… The use machine learning allow it to understand an endless way of phrasing these requests, and to continually be retrained to understand new ones!

For anyone who is a stakeholder in the SEO business, arguably the most keenly anticipated event is the Google algorithmic update. Whenever Google updates its algorithm, content owners and marketers get busy with deciphering if the new code changes would cause any sudden dip in ranking of their pages. If there are beings in the animal kind SEO aficionado care the most about, they are Panda and Pigeon, until Mobilegeddon came along! But all that, it seems, is about to change. The change is expected to be transformational, though through a long gradual process. I am referring to significant inclusion of machine learning algorithms in the SEO updates.

Data Science is not just about data. The bare basics are recognizing what all data to keep, identifying how to process it for different results. It does not stop there. Data scientists need to figure out blanks in data and fill them with data that'may' come up in future. Data Science essentially is about connecting dots in businesses and using existing and non-existing data to meet the demands of each business.