An employee video released in June described how Tronc would use artificial intelligence and machine learning to "allow journalists to do their jobs … Mojtaba Arvin is a computer programmer who's fascinated by artificial intelligence . Right now, he spends his time as an information technology student .

Notable because it uses no programming code. Nice for those procedurally rather than code oriented. I can see some people liking this approach to understand the concept of machine learning. Though you can make the case that ultimately the approach should be understood technically to better detect errors in process. Still I like the alternative.

Before we build stats/machine learning models, it is a good practice to understand which predictors are significant and have an impact on the response variable. In this post we deal with a particular case when both your response and predictor are categorical variables. By the end of this you'd have gained an understanding of what predictive modelling is and what the significance and purpose of chi-square statistic is. We will go through a hypothetical case study to understand the math behind it. We will actually implement a chi-squared test in R and learn to interpret the results.

Logic gates are the fundamental building blocks of electronics. They help in addition, choice, negation and combination thereof to form complex circuits. In this post, I shall walk you through couple of basic logic gates to demonstrate how Neural Networks learn on their own without us having to manually code the if-then-else logic. Let's get started with the "Hello World" of Neural Networks, which is the XOR gate. A XOR gate is a exclusive OR gate with two inputs A and B and an output.

Toyota plans to have its self-driving car out by 2020. It's been testing a modified Lexus GS as well as their own hybrid self-driving vehicles on the road. In January 2016, Toyota announced the creation of the Toyota Research Institute (TRI), a 1 billion investment in AI to develop autonomous driving capabilities as well as home-care robots. Jim Adler, the first head of data at TRI, has been on the job for just two months. Before that, he was an executive at Metanautix, a data analytics platform that sold to Microsoft last year. Adler talked to TechRepublic about how Toyota is using data and simulation to teach cars to drive themselves. It sounded like so much fun and interesting, and leveraged quite a bit of my experience. How do you say "no" to working on a self-driving car and a robot?

As with other technologies introduced in the past decade, artificial intelligence is the subject of many market predictions. But what exactly is current commercial adoption of AI beyond academic labs? In this ten-page report, Spiderbook cofounder Aman Naimat provides the results of a data-driven analysis into the U.S. industries and companies using or building AI products right now. Although some so-called AI applications aren't actually cognitive, there are technologies capable of achieving human- or superhuman-level intelligence on given tasks. Naimat and his team canvassed nearly 500,000 companies and used Spiderbook's graph-based machine-learning model to read the business Internet and classify businesses into different levels of AI maturity.

Today, The Washington Post posted a new in-depth interview with Tim Cook, where he discusses his first five years as Apple CEO, the company's future, artificial intelligence, virtual reality, augmented reality, and much more. The interview, which includes not only text but also video of Cook talking over a variety of topics, is lengthy and covers a lot of content. Cook talked about services and how important they are to Apple's present and future: "Its services business, which includes things like iTunes, iCloud and a mobile payments service, is projected to be the size of a Fortune 100 business next year -- all on its own." Cook also discussed some of the mistakes that Apple has made in the past, including the hire of John Browett, who ran Apple Retail stores for a short period of time. Today we have a product we're proud of.

The role of technology within our personal and professional lives continues evolving at an exceptionally fast pace. From utility-based mobile apps and wearable devices, to the emergence of augmented and virtual reality, the digital revolution is expanding to cover every aspect of the human experience. In an era of entrepreneurship, founders rely heavily on advancements in technology to develop cutting edge products, platforms and experiences that meet the growing demands of a global consumer base. As content remains essential to building a brand or launching a business, it's also critical that companies have the capability to swiftly adapt in changing markets. Being able to successfully scale a business, amidst the inevitable pivots and unexpected turns, requires having access to the tools and solution-based software needed to create, modify and fix things on-demand.

If you've watch TV shows like House, you probably know that there are some conditions that people suffer from that are rare and aren't as easy to diagnose. However it seems that in the future, such conditions could be diagnosed much quicker thanks to the help of AI, which is what doctors in Japan did. In what could be described as a world's first, doctors in Japan relied on artificial intelligence to help diagnose a woman who was suffering from a rare form of leukemia. The patient was initially treated for acute myeloid leukemia, but her recovery from post-remission therapy was slow, which is when doctors decided that the initial diagnosis could have been wrong. This is when they turned to IBM's Watson to help them with their case.