With the proliferation of AI (Artificial Intelligence) scientific, engineering and technical innovation and its impact on other cutting edge technology fields such as IoT (Internet of Things) and robotics, it may be time for your organization to formulate a job description and start recruiting for a CAIO (Chief Artificial Intelligence Officer). Failure to immediately start this staffing process can harm your business! The Commerce Department reported Friday that U.S. GDP (Gross Domestic Product) ended the 4th quarter of 2016 on a lackluster, inflation and seasonally adjusted annual rate, of only 1.9%. Because GDP is the broadest measure of the goods and services produced by America, this is yet another indication of America's slowest economic expansion since World War II. As a result, this latest data underscores the obstacles facing President Trump as he pushes for economic growth after he has repeatedly stating a goal of 4% expansion in his one year!

Subscribe to our Nanalyze Weekly Digest to receive a summary of all articles every week.

In honor of Valentine's Day, we took a look at the difference in usage between men and women on Facebook Messenger bots over the past two months. On average, about 63 percent of bot users are men and 28 percent are women, with the remaining 9 percent unknown or undetected. Men tend to be more engaged than women in terms of sessions per user per month -- on average they have about 50 percent more sessions. Women, however, tend to message more per session – about 12 percent more messages in each session. In regards to the number of bots men and women use: While the vast majority of users have only used one bot, about 14 percent of men and 10.6 percent of women use more than one bot.

Leveraging the power of artificial intelligence (AI) and the surging popularity of messaging apps, conversational interfaces are enabling unprecedented banking engagement and re-establishing relationship banking. Chatbots are a simple, lightweight solution to a host of legacy banking problems, giving progressive banks and credit unions a competitive industry edge. The arrival of the digital age has disrupted the retail banking industry and altered the relationship between banks and their customers. Where banking once meant interacting with customers in brick-and-mortar branches, new digital banking channels like websites and mobile apps have opened an entirely new way to reach customers and do business. Online and mobile banking have allowed banks to reach customers more easily and frequently, and have given customers unprecedented access to their financial information.

Dennis Bonilla, executive dean of information systems and technology at the University of Phoenix, told NewsOne that the transformational technology reaches into classrooms and impacts how students learn. For example, in flipped classrooms, teachers assign students homework that utilizes artificial intelligence technology. The software can send the instructor a detailed analysis of students' comprehension of the assignment. That can enable the teacher to prepare more effectively for interactive learning the next day in the classroom. With that data in hand, the teacher can begin her lesson with information that large swaths of students struggled to understand.

You can find my code here. It might be more up to date than the article;). This is the fourth article in the self driving cars series. If you want to know why I'm sharing this and more about my journey, please read this. For each image of the given video, we are going to detect the driving lane lines on each side of the car and visually highlight the area between them.

Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.

The dataset consists of about 12,000 headlines half of which are clickbait. The clickbait headlines were fetched from BuzzFeed, NewsWeek, The Times of India and, The Huffington Post. The genuine/non-clickbait headlines were fetched from The Hindu, The Guardian, The Economist, TechCrunch, The wall street journal, National Geographic and, The Indian Express. Some of the data was from peterldowns's clickbait-classifier repository I used Stanford's Glove Pretrained Embeddings PCA-ed to 30 dimensions. This sped up the training.

We need to be super careful with AI. That same year University of Cambridge cosmologist Stephen Hawking told the BBC: "The development of full artificial intelligence could spell the end of the human race." Microsoft co-founder Bill Gates also cautioned: "I am in the camp that is concerned about super intelligence." How the AI apocalypse might unfold was outlined by computer scientist Eliezer Yudkowsky in a paper in the 2008 book Global Catastrophic Risks: "How likely is it that AI will cross the entire vast gap from amoeba to village idiot, and then stop at the level of human genius?" His answer: "It would be physically possible to build a brain that computed a million times as fast as a human brain.... If a human mind were thus accelerated, a subjective year of thinking would be accomplished for every 31 physical seconds in the outside world, and a millennium would fly by in eight-and-a-half hours."

When we asked dozens of venture capitalists where they see the most potential for applied artificial intelligence, they unanimously agreed on health care. Technology has already been used to incrementally improve patient medical records, care delivery, diagnostic accuracy, and drug development, but with AI we could achieve exponential breakthroughs. Deep learning first caught the media's attention when a team from the lab of Geoffrey Hinton at the University of Toronto won a Merck drug discovery competition despite having no experience with molecular biology and pharmaceutical development. Recently, a multidisciplinary research team at Stanford's School of Medicine comprised of pathologists, biomedical engineers, geneticists, and computer scientists developed deep learning algorithms that diagnose lung cancer more accurately than human pathologists. The ultimate dream in health care is to eradicate disease entirely.