Carnegie Mellon University plans to announce on Wednesday that it will create a research center that focuses on the ethics of artificial intelligence. The ethics center, called the K&L Gates Endowment for Ethics and Computational Technologies, is being established at a time of growing international concern about the impact of A.I. technologies. That has already led to an array of academic, governmental and private efforts to explore a technology that until recently was largely the stuff of science fiction. In the last decade, faster computer chips, cheap sensors and large collections of data have helped researchers improve on computerized tasks like machine vision and speech recognition, as well as robotics. Earlier this year, the White House held a series of workshops around the country to discuss the impact of A.I., and in October the Obama administration released a report on its possible consequences.

There is much hype over big data and new analytical technologies, some of it justified, much of it not. In this article, we explore the possibilities and the limitations of technology, and discuss how it can practically improve your business strategy. We believe man's ability to think and formulate hypotheses is an art that is difficult for machines to replace. Analytics cannot yet do your strategizing for you. Nor can artificial intelligence (AI) and cognitive computing engage creatively and emotionally with employees and stakeholders.

HTAP is a term coined by The Gartner Group to describe a class of database systems that are Hybrid Transactional and Analytical Processing Systems. The power of HTAP is to serve a new class of applications that are intelligent – applications that analyze real-time data to provide the most timely insights possible. Previous generations of databases could not service such applications because the data had to move from operational systems to analytical systems via an ETL (Extraction, Transformation, and Load) process that typically takes many hours. It could even take s days before an analytical system would be able to process the data. This inherent lag caused by ETL required companies, governments, and academic researchers to look through the rear-view mirror of their operation instead of looking forward through the windshield.

Cybersecurity companies are increasingly looking to artificial intelligence tech to improve defense systems and create the next generation of cyber protection. These trends are driving demand for automated cybersecurity, i.e. AI-driven software that can use machine learning and other technologies to differentiate benign or harmful activity on a system or network. We used CB Insights data to understand when artificial intelligence began to be linked to cybersecurity, and we identify 13 companies to watch at the intersection of AI and security. To inform our analysis in the charts below, we used the Trends tool on the CB Insights Platform, which analyzes millions of media articles to track technology trends.

The rise of cloud computing brings with it the promise of infinite computing power. The rise of Big Data brings with it the possibility of ingesting all the world's log files. The combination of the two has sparked widespread interest in data science as truly the "one ring to rule them all." When we speculate about such a future, we tend to use two phrases to describe this new kind of analytics--artificial intelligence (AI) and machine learning. Most people use them interchangeably.

The concept of artificial intelligence has been around for a long time. In written fiction, AI characters show up in stories from writers like Philip K. Dick, William Gibson and Isaac Asimov. Sometimes it seems like it's touched on by every writer who has written sci-fi. While many predictions and ideas put forward in sci-fi have come to life, artificial intelligence is probably the furthest behind. We are nowhere near true artificial intelligence as exemplified by the characters mentioned above. Sometimes it seems like we've been waiting forever.

What are the traits of a good Chatbot? Situational awareness is a key feature in Bots. It should respond to user's minimum amount of input by leveraging stored information and entertain the user's needs with minimal friction. Bots should be able to automate the daily life tasks for us such as reserving a hotel, ordering grocery, etc. It should save our time and reduce human efforts and pain.

Using Azure, gave them an immediate global reach in a way unthinkable just a few years earlier. Their mission is to bring big data analytics to utilities and smart cities, and one of their focus areas is electric utilities and smart grids. It is a story that combines drones with intelligent software to prevent power blackouts, or as eSmart puts it "making Azure intelligence mobile". The economic impact of blackouts is massive, and the scale of power grids is huge. According to Grid Resilience Report, US Department of Energy, 2011, the average annual cost of power outages caused by severe weather in the USA is anywhere between $18-33 billion.

As the future veers toward artificial intelligence, robotics, and biometric security measures ripped straight from a Sci-Fi novel, you might be amused to know plastic sunglasses are the key to their undoing. Researchers at Carnegie Mellon University developed a 3D-printed pair of sunglasses that cost all of 22 cents to manufacture. The sunglasses, according to an accompanying study, fools advanced facial recognition software by altering small bits of color information in a face. Your questions answered by founders, experts and thought leaders in business, design and tech. The software relies on neural networks to compare pixel coloration in specific areas of the face to match one image to another.

"Artificial intelligence is not just the next step in innovative learning," says Rose Luckin, a self-described learning scientist at University College London. "This technology can identify emotional states of students as well as their meta-cognitive states," she says, "and tailor learning accordingly." Previous forms of technology fell far short of this kind of capability. Rose recently co-authored a paper titled "Intelligence Unleashed: An argument for AI in Education.") Rose says artificial intelligence in education, also called AIed, can also further facilitate deeper collaboration between learners--and help teachers differentiate their instruction in order to meet every learner's needs.