Guest blog post by Jen-Hsun Hunag, Founder, President and CEO at NVIDIA, Originally entitled "The Intelligent Industrial Revolution". Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time.

China's fastest supercomputers have some clear goals, namely development of its artificial intelligence, robotics industries and military capability, says the U.S. But some of the early iterations of this effort seem a little weird. China recently deployed what it calls a "security robot" in a Shenzhen airport. It's named AnBot and patrols around the clock. Here's what AnBot looks like, according to a Chinese government newspaper, The People's Daily online.

Lancaster University is developing artificial intelligence (AI) software for servers that could potentially drive down the amount of energy consumed by datacentres. A collection of our most popular articles on datacentre management, including: Cloud vs. Colocation: Why both make sense for the enterprise right now; AWS at 10: How the cloud giant shook up enterprise IT and Life on the edge: The benefits of using micro datacenters This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers. You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy.

Big Blue has found yet another business application for its precocious cognitive computing system. IBM Watson Health is collaborating with the biopharmaceutical company Celgene to develop a new platform for evaluating the safety of drugs--both before and after they hit the market--the two companies are announcing this morning. The new offering, "Watson for Patient Safety," will gobble up anonymized medical records, claims data, and millions of electronic submissions to the FDA about potential drug side effects (known as individual case safety reports) to see if it can learn about the hidden dangers of medicines before they become too costly. The problem is one of the toughest in drug development. Many chemical agents (and maybe even most) interact with more than one "target"--meaning that if a drug has a molecular effect to begin with, it very likely will have one or more side effects.

And I don't mean that fake diploma your colleague has proudly displayed in his larger office with windows across the hallway from your smaller office without windows. Of course, you don't need blast curtains. It's October, White House Scary Report month, and the Administration didn't disappoint. After the Cubs won Game 2, I put Defying Hitler aside last night to read the report. This report is an absolute must-read for anyone genuinely interested in the advent of Artificial Intelligence (if that's you, you've already it read it, most likely). It's a must-read for anyone who's so far missed the AI train and wants to catch up--it walks us through the history of AI very nicely, concisely.

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.