"The only thing that stops a bad guy with a gun is a good guy with a gun." Well, that gun lobby rubbish was again disproved in Dallas. Twelve good guys -- law enforcement men and women trained to shoot -- were stopped by one bad guy. Five officers were killed and seven wounded. Two civilians also were injured before the bad guy was finally stopped by a bomb-carrying robot.

A great trainer makes working out 10x more motivating, fun, and effective. That's why we created Vi--an evolving personal trainer who lives in bio-sensing earphones. Put Vi on and start a relationship with a friend for your fitness. Each day, Vi tracks you, gets smarter, and coaches you to real results. Vi will help you meet your weight goals, improve your running, cycling and training.

Data is rarely clean and often you can have corrupt or missing values. It is important to identify, mark and handle missing data when developing machine learning models in order to get the very best performance. In this post you will discover how to handle missing values in your machine learning data using Weka. How To Handle Missing Data For Machine Learning in Weka Photo by Peter Sitte, some rights reserved. The problem used for this example is the Pima Indians onset of diabetes dataset.

I just finished the book The Art of Happiness by the Dalai Lama and Howard Cutler. And while I got a great deal of personal wisdom from the book, I also found that the Buddhist philosophy of cultivating compassion and empathy to be an interesting angle to machine ethics and artificial intelligence design. The premise of one of the chapters is that human nature is essentially compassionate and gentle at birth and that anger, violence, and aggression are the result of the unbalanced development or misuse of our intelligence. Intelligence, the same intelligence that has allowed us to be masters of this world, that's not counterbalanced with compassion can become destructive. The way we are constructing our AI projects is starting with the intelligence.

As I write this, I'm listening to music written and performed by a robot that was built by Brain.fm to help me focus. I think it might be working, giving me a tiny buzz. It could of course be a placebo effect. In fact, the fact that I even wrote that last three-word sentence should tell you something about the attitude in which I approached Brain.fm's Brain.fm is a new audio startup out of Chicago that produces music written by artificial intelligence that promises to get your brain into one of several desired states, from deep sleep to focused work.

A great disparity in women in leadership positions continues. The women in technology debate has heated up again as major tech companies have more women in leadership, than they do in technology positions themselves. Which, doesn't really make sense? Since, we are in an unprecedented age of customer-centricity, where product design, user interactive content marketing, brands that are emotionally intelligent, teamwork of software engineers and customer success is now more important than ever. Now there are a number of indications that in the post-automation world, it's women who will be hardest hit in job losses.

Drowsy driving is notoriously tough to detect. There's no test to prove it, the way a breathalyzer can prove someone was driving drunk. But technology to detect drowsy driving is in the works. In commercial transport, one industry is leading the way: mining. The stakes are particularly high in this field since the enormous haul trucks used in mining are several times the height of a person.

Ever imagined that one day a social networking website like Facebook will automatically start describing the content of photos especially to the blind and visually impaired users? Also, wondered how Google predicts what you are looking for the moment you type'Goa' and starts showing results in the form of air tickets and destinations in Goa to visit? Or how Apple can analyse your facial expressions and read your emotions besides recognising your speech? These phenomena are nothing but virtually advanced solutions that global tech giants are investing in using Artificial Intelligence and machine learning techniques to make our lives better. These major driving forces of the new generation of the web have the potential to disrupt a lot beyond the offerings by these corporate giants.

FinTech business in Africa makes use of A.I & credit technology. MyBucks, a German listed FinTech company that holds three brands GetBucks, GetSure and GetBanked, has said its partnership with NGO (non-governmental organisation) Opportunity International continues to take strides forward in their vision of bringing financial inclusion to the unbanked and underbanked in emerging markets – most specifically in Africa. In a move that is contrary to the current trend worldwide where banks are acquiring FinTech companies to add value and expand services, the partnership marks, according to the company, the first time a FinTech company has acquired banks to bridge the gap between the virtual and traditional worlds of banking. This is ultimately to enable faster, more efficient and less expensive access to financial services for clients. The conclusion of the acquisition of four banks and two microfinance institutions from Opportunity International will add Ghana, Tanzania and Mozambique to MyBucks' country portfolio and regulatory approval has already been granted in Kenya, Tanzania and Mozambique.