If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Amos G. Winter, assistant professor in the Department of Mechanical Engineering and director of the Global Engineering and Research Lab (GEAR), has been awarded the 2016-2017 Harold E. Edgerton Faculty Achievement Award, announced today at MIT's faculty meeting. The award was established in 1982 as a tribute to Institute Professor Emeritus Harold E. Edgerton, for his active support of younger, untenured faculty members. Each year, a faculty committee presents the award to one or more junior members of the faculty, in recognition of exceptional distinctions in teaching, research, and service. Winter was honored for being "a leader in global engineering, an emerging sub-discipline that seeks creative solutions to persistent challenges in the developing world." The committee, chaired by MIT Sloan School of Management Professor Thomas A. Kochan, also noted "his creativity in designing critical but affordable products within the constraints found in emerging markets, and for his approachable style and advocacy on behalf of his students, as well as the infectious energy he imparts to them."
In 2010, I attended the IEEE (Institute of Electrical and Electronics Engineers) CVPR (Computer Vision and Pattern Recognition) conference at the Hyatt in downtown San Francisco. I didn't expect the conference to be as large as it was, but it had more than 1,500 in attendance, to the best of my recollection. The conference reminded me of the size of the conferences held at the same hotel when the industry was arguing over different standards for Wi-Fi, with multi-billion dollar markets at stake. However, unlike the practical approach of implementing the maturing Wi-Fi technology, where presentations were mainly made by engineers working for companies competing over their ability to assert their intellectual rights into the standards, the CVPR presentations were mainly made by university researchers, and researchers from "deep-research" arms of some of the world's largest technology companies, who didn't expect the fruit of their research to reach maturity anytime soon. One of the presentations I sat through struck a chord with me.
At its F8 developer conference in San Jose today, Facebook is announcing the launch of Caffe2, a new open source framework for deep learning, a trendy type of artificial intelligence (AI). Deep learning generally involves training artificial neural networks on lots of data, like photos, and then getting them to make inferences about new data. Today's announcement builds on Facebook's contributions to the Torch open source deep learning framework and more recently the PyTorch framework that the Facebook Artificial Intelligence Research (FAIR) group conceived. And last year Facebook talked about a system called Caffe2go. "PyTorch is great for research, experimentation and trying out exotic neural networks, while Caffe2 is headed towards supporting more industrial-strength applications with a heavy focus on mobile," Facebook AI Platform engineering lead Yangqing Jia wrote in a comment on Hacker News.
Email marketing is in for a complete overhaul. With AI, email marketing isn't limited to rule-based triggers but has evolved into a means of more in-the-moment personalization. AI has filled in the missing gap between traditional shopping and online shopping with 1:1 personalization. Here are four of the ways AI has changed email marketing for better. You have three seconds to seize the shopper's attention.
The Internet of Things (IoT) and artificial intelligence (AI), often supported by Big Data, will combine, overlap and in other ways systematically drive telecommunications and enterprise IT forward during the coming years. Today, IBM Watson and Harman Professional Solutions unveiled an offering that illustrates the potential of these new tools. Voice-Enabled Cognitive Rooms, which are outfitted with IBM Watson IoT and Harman speaker capabilities, respond to spoken questions and commands. The AI element will expand its functionality over time as an individual uses the room more often. The system is in use at the Thomas Jefferson University Hospital in Philadelphia, where patients can do such things as operate lights and window blinds.
Researchers from The United Kingdom stated that a self-taught artificial intelligence machine could pave the way in predicting heart attacks better than doctors. The mentioned machine was said to possibly save thousand to millions of people if implemented. In which aside from heart attacks, blocked arteries and strokes were mentioned as well. Yet, thanks to the team, the future of predicting heart attacks better are on the way. The study was reported to be done by the University of Nottingham who created a bunch of programs that could predict heart attack better and train themselves to learn more.
The global military biometrics market is highly competitive, as its vendor landscape is marked by the presence of several large global players. The dominance in the market is however held by five major players - 3M Cogent, NEC Corporation, M2SYS Technology, Crossmatch, and Safran. Together these companies accounted for nearly 61% of the global military biometric market in 2016. A majority of the leading companies in the global military biometrics market boast global presence, which has catapulted them at the market's fore, finds Transparency Market Research (TMR) in a new study. In order to gain competitive advantage, these companies are continuously engaged in product development.
As American soldiers were being maimed by roadside bombs in Iraq and Afghanistan, the U.S. military was working feverishly on a solution. One problem: It wasted nearly a decade developing one that was available off the shelf in Israel, a staunch U.S. ally. "That's just one anecdote of the kind of parochialism that's been the case at the Pentagon. That mentality, that mindset needs to change," said Ken Weinstein, president and CEO of the Hudson Institute, a Washington think tank on international affairs and technology. More collaboration with foreign partners is needed, but that might be easier said than done, Dr. Weinstein said during a trip to Atlanta to speak at the annual AmCham Germany Business Day event organized by BridgehouseLaw at the Porsche Experience Center.
"Will artificial intelligence replace marketers in the near future?" This is the compelling question posted by Loren McDonald of IBM Watson Marketing during his presentation at the recent Digital Summit conference in Los Angeles. While many marketers might consider this a provocative presentation opener, there are some blunt realities marketers need to consider if they want to remain in the field and be competitive. Artificial Intelligence is about the development of computers systems that are able to perform tasks that would normally require human intelligences such as visual identification speech recognition, decision-making and translating between languages. AI performs a role in many of the stems that you use everyday from using Siri on your phone, a chatbot on an ecommerce site like Staples or 1-800-Flowers or every time you use Google.
The Defense Advanced Research Projects Agency is in the process of spinning up a new research program to develop ways to teach machines to learn while they are operating -- and apply their knowledge to new situations "the way biological systems do." The agency is now accepting research proposals for the program's first funding opportunity via a Broad Agency Announcement, published last week. Dubbed the Lifelong Learning Machines program or L2M, DARPA plans through the four-year program to fund the development of "substantially more capable systems that are continually improving and updating from experience." Artificial intelligence systems today can't adapt to situations for which they were not already trained or programmed, as DARPA notes in its Broad Agency Announcement released last week. And so applying AI systems for military uses in areas like "supply chain, logistics and visual recognition" is difficult to do today, because many of those applications involve details that aren't defined in advance, according to DARPA.