Announced at the Consumer Electronics Show (CES) in Las Vegas, BelleFox (www.bellefox.ai) is poised to revolutionize how families interact in this constantly connected world. The BelleFox Wi-Fi router is a unique technology that delivers not only reliability and fast speeds, but a host of features to help parents see and understand their children's online behavior -- and even to learn more about who their children are as individuals. The system uses Big Data and AI (artificial intelligence) to deliver its powerful, useful insights. "Children today are online natives, which can be extremely stressful for parents," stated Lily Li, co-founder of BelleFox. "Until now, family Wi-Fi systems simply offered ways to limit children's time and access to specific sites.

We were all fascinated by Siri when she first burst onto the scene five years ago. The world was captivated, the talking computer had finally arrived and was easily available. Since then, more fascinating examples of artificial intelligence (AI) have emerged. While other tech companies have been introducing flashy new examplesof AI at play, it appeared that Apple (NASDAQ: AAPL) had lost its advantage and was falling behind in the pursuit of this nascent technology. While some thought Apple had languished, it turns out it has been quietly integrating AI into many everyday features of its iconic iPhone.

In 1872 a British general named Alexander Cunningham, excavating an area in what was then British-controlled northern India, came across something peculiar. Buried in some ruins, he uncovered a small, one inch by one inch square piece of what he described as smooth, black, unpolished stone engraved with strange symbols -- lines, interlocking ovals, something resembling a fish -- and what looked like a bull etched underneath. The general, not recognizing the symbols and finding the bull to be unlike other Indian animals, assumed the artifact wasn't Indian at all but some misplaced foreign token. The stone, along with similar ones found over the next few years, ended up in the British Museum. In the 1920s many more of these artifacts, by then known as seals, were found and identified as evidence of a 4,000-year-old culture now known as the Indus Valley Civilization, the oldest known Indian civilization to date. Since then, thousands more of these tiny seals have been uncovered.

We've traditionally seen machine learning interview questions pop up in several categories. The first really has to do with the algorithms and theory behind machine learning. You'll have to show an understanding of how algorithms compare with one another and how to measure their efficacy and accuracy in the right way. The second category has to do with your programming skills and your ability to execute on top of those algorithms and the theory. The third has to do with your general interest in machine learning: you'll be asked about what's going on in the industry and how you keep up with the latest machine learning trends. Finally, there are company or industry-specific questions that test your ability to take your general machine learning knowledge and turn it into actionable points to drive the bottom line forward. We've divided this guide to machine learning interview questions into the categories we mentioned above so that you can more easily get to the information you need when it comes to machine learning interview questions. These algorithms questions will test your grasp of the theory behind machine learning.

Business intelligence (BI) tools first appeared on the enterprise technology scene several decades ago, at birth clumsy and difficult to use but ultimately improving the flow of data through organizations from their operational systems to decision support. Data warehousing cut the time it took to access data, but even at their full maturity, BI systems could do little more than produce data and reports in a traditional organized way. But with the advancement of artificial intelligence and--more importantly--machine learning, true business intelligence is actually on its way to the enterprise. Such self-learning software will run on servers, be built into bots, drive decision-making systems, be embedded into cars or aircraft, and become the beating heart of mobile devices. Increased data-processing power, the availability of big data, the Internet of Things, and improvements in algorithms are converging to power this actual business intelligence.

Canada-based Scotiabank has announced a three-year sponsorship of AI firm NextAI, providing more than $1 million in funding to help build entrepreneurship in in the industry. The bank will also provide speakers, host events and support participants. NextAI, launched in 2016, aims to bring international talent to Canada to work on emerging AI solutions by providing access to capital, networks, education and mentors. "NextAI is proud to work with a digital leader like Scotiabank to advance AI technology and young entrepreneurs in Canada," says Anthony Lacavera, Co-Chair of Next Canada. "We have incredible talent and capabilities in this country, and Scotiabank is a key driver in maintaining our place as a world leader in machine learning."

The world's best professional poker players appear to have found their match: An artificial intelligence developed by researchers from the Carnegie Mellon University (CMU). The AI dubbed Libratus has already accumulated winnings of nearly $800,000 against human poker professionals at the Brain Vs. The human players compete to win shares of the $200,000 prize while Liberatus aims to be the first computer program to win in a professional poker tournament. Many AI researchers consider poker to be among the hardest games for computers to beat humans at. How AIs fare against human players when performing tasks has long been used as a measure of progress in the field of AI research.

Last spring the startup Flow Health began a five-year contract with the Department of Veteran Affairs to examine all historic and ongoing medical records. The startup will use information obtained from those records to train artificial intelligence to, among other things, fight illness and predict disease for the more than eight million people cared for by the Department of Veteran Affairs. Advice and predictions from Flow Health will be presented to health care professionals through Vista, the DoD's open source system for electronic medical records. Doctors can then choose to apply or ignore the advice drawn from the VA's vast storage of medical records. "When a veteran comes in and presents certain clinical symptoms, we can better understand and make predictions about'What is the likely diagnosis? What is the best diagnostic test? What's the best care pathway?' and so forth," CEO Alex Meshkin told VentureBeat in a Skype interview.

Artificial Intelligence is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence. The central problems of AI include reasoning, knowledge, planning, learning, natural language processing perception and the ability to move and manipulate objects. Approaches include statistical methods, computational intelligence, soft computing and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.

This article is by Mark-Hans Richer, founder and president, Richer Inc., and former CMO of Harley-Davidson. It's post-CES season and naturally all the buzz is about cool, futuristic things that will change the world as we know it. And nothing is more buzzy than AI and Machine Learning (VR and AR are so 2016...). Most of those who strolled the wide alleys of Las Vegas' convention halls earlier this month--and especially the creative marketing community--buzzed about what they saw as cutting-edge cool, the zeitgeist that every creative person wants to be on the edge of. But what if the tech that is so attractive suddenly turned on its acolytes?