This interview took place at the RE•WORK Deep Learning Summit in Boston, on 12-13 May 2016. Nervana Systems: AI techniques are rivaling human performance and will be the foundation of the next revolution in computing. At Nervana, we are making scalable AI accessible and enabling disruptive new applications across a wide range of industry verticals.

AI, and the branch of this discipline called deep learning, crashed the public consciousness on March 9 when Google DeepMind's AlphaGo program beat South Korean champion Lee Se-dol at ancient Chinese game Go. Since then, barely a week has gone by without a fresh breakthrough – or scare story. True AI implies a change in the relationship between machine and human – from predictable task worker reliant on our instructions, to a system which has the capacity to surprise and surpass us. For many, the loss of control inherent in this change is alarming. Hal and Skynet are suddenly too close for comfort.

Now, the big brands are starting to leverage chatbots to promote their products. According to a recent survey carried out by Facebook IQ, 63 percent of consumers are using messaging apps (in this case, Facebook Messenger) to contact companies, find information, and buy products. According to the Facebook survey, 67 percent expect to message businesses more frequently over the next two years. Currently, businesses can build bots that carry out simple tasks, answer simple questions, and help with the steps laid out above.

Humans pick up on sarcasm instinctively and usually do not need help figuring out if, say, a social media post has a mocking tone. Machines have a much tougher time with this because they are typically programmed to read text and assess images based strictly on what they see. Nothing, unless computer scientists could help machines better understand wordplay used in social media and on the internet. And it looks like they may be on the verge of doing just that. Just what you needed--a sarcasm-detection engine that helps marketers tell whether you were praising or mocking their product, and adjust their messages to sell you more stuff.

You have most likely seen them on Facebook Messenger, maybe even Skype or Kik. Now, the big brands are starting to leverage chatbots to promote their products. For example, McDonald's has been using a Kik chatbot to interact with its fans. You can ask the McDonald's chatbot about the latest promotion in your area, prices of the items on their menus, and much more. A conversation between customers and businesses, regardless of chatbots, is becoming more common.

A staff member presents a robot designed for children at the 2016 Chinese Congress on Artificial Intelligence (CCAI 2016) in Beijing, capital of China, Aug. 26, 2016. The two-day CCAI 2016 kicked off here Friday. BEIJING, Aug. 26 (Xinhua) -- Tan Tieniu, a top expert in China's artificial intelligence (AI) sector, on Friday suggested creating a plan to guide the country's AI research and development in the next decade or longer. China should independently develop an AI innovation system, with a focus on core technology, high-end equipment and applications, basic theories and facilities in the AI sector, said Tan, vice president of the Chinese Association for Artificial Intelligence. By doing so, China could have a world-leading AI industry by 2025, said Tan, also vice president of the Chinese Academy of Sciences, at the two-day 2016 China Conference on Artificial Intelligence (CCAI 2016), which will conclude on Saturday.

Japanese research center Riken and twenty companies have created a joint platform to develop applications of artificial intelligence (AI) in the fields of medicine, industry or infrastructure, announced today the Nikkei newspaper. Research Center of Advanced Intelligence Integrated opens on September 1st in Tokyo, and will include the participation of Japan's leading automotive, Toyota Motor and other tech giants including Sony and NEC, among other large companies and " start-up "Japanese. The aim is to develop artificial intelligence systems capable of solving specific problems involving a large amount of data analyzed. One of the specific fields of application is industrial manufacturing, in which Toyota and NEC working in an AI technology to help promote the efficiency of production chains from the analysis of details of the procedure that are beyond human workers, according to Japanese newspaper he said. In the health area, Sony computer research branch is developing an AI system to recommend personalized treatments to patients after comparing your medical history with all available clinical studies.

AI guides your daily life, but is it liberal or conservative? Visit Orlando's new app puts an AI tour guide in the palm of your hand Apple Says Artificial Intelligence Is Not The'Final Frontier,' But iOS Has Plenty Of'Hidden' AI

Deep learning has achieved some very impressive accomplishments of late. I won't review them here, but chances are you already know about them anyhow. Given these high-profile successes, one could forgive the uninitiated (be they laymen or tech-savvy individuals) for the casual confounding of terms such as "artificial intelligence" and "deep learning," among others. It seems these 2 terms, specifically, are moving increasingly close to one another, and the further one is removed from research, the less easy it likely is to understand the nuance. Given the recent interest in the employ of deep neural networks and other machine learning technologies in business, as well as other sectors, non-technical folks have heightened interest in the differentiation of, and deep understanding of (pun intended), these technologies for practical purpose.

The release continues, "Kimera's engineers wanted to validate how the Nigel single algorithm AGI learns, so in the first test of the currently private beta, users were instructed to go to the movies with their Nigel-enabled smartphones. There was no special programming used on Nigel, only some guidance provided to beta testers, ensuring a fully unsupervised learning test for the technology. Nigel was able to observe that a movie theater is a type of location, and that people share common behaviors with respect to their phones when they visit this type of location. Through these observations, Nigel learned to proactively dim screens and silence smartphones when people enter a cinema."