With the surge in growth of artificial intelligence, fears over the new technology have experts weighing in on what impact it will have on U.S. education. One economist warned that the technology will eventually lead to the elimination of teaching. "One of the jobs that is likely to be eliminated by A.I. is teaching," Euro Pacific Asset Management chief economist Peter Schiff told FOX News Digital. "I think certainly for elementary school education K through 12. I think at the end of the day, schools will be obsolete. Palm Beach Atlantic University professor of communication and Supper Honors Program director Dr. Tom St. Antoine argued, however, the technology presents educators with a "really good opportunity." IVY LEAGUE UNIVERSITY UNVEILS PLAN TO TEACH STUDENTS WITH AI CHATBOTS THIS FALL: 'EVOLUTION' OF'TRADITION' "In colleges and universities, we've been sort of obsessed with A.I. technology because for a lot of people, it poses little challenges like plagiarism and it sort of devalues the ability to do original work.

When you think of the words "data" and "mine", no doubt the idea of data mining comes first. However, just as much as we find value in mining the rich resources of data, so too can we apply the advanced techniques for dealing with data to real-world mining -- that is, extracting natural resources from the earth. The world is just as dependent on natural resources as it is data resources, so it makes sense to see how the evolving areas of artificial intelligence and machine learning have an impact on the world of mining and natural resource extraction. Mining has always been a dangerous profession, since extracting minerals, natural gas, petroleum, and other resources requires working in conditions that can be dangerous for human life. Increasingly, we are needing to go to harsher climates such as deep under the ocean or deep inside the earth to extract the resources we still need.

Women in AI and Women in Tech jointly hosted the grand opening of The Magic of ARTificial Intelligence on Monday, 27 January. Guests were welcomed into the Council Chambers Hall at the Sofitel Legend The Grand Amsterdam. The atmospheric venue is Amsterdam's former city hall and has hosted many historic celebrations, including the civil ceremony of Queen Beatrix's wedding in 1966. The room's dark wood panelling, soft lighting and artwork set the tone for an inspiring evening that included a series of presentations. Throughout the evening, artists, designers and musicians discussed how AI and data paved the way for new possibilities in their work.

On the 3rd of April 2019, Partech hosted an event on Artificial Intelligence, Open Day #3: Intelligence Artificielle "Fantasmes vs réelles avancées", in collaboration with Innovation Factory. The event which took place at the Partech Shaker, saw several industry experts and exciting new startups share their visions on the future of AI and how it can be implemented in a variety of different use cases. Philippe Colombel, Co-Managing Partner at Partech, introduced the event. He began by underlining how "AI is not new… but accelerating", appearing first in the 1950s and 60s but not really gaining traction until the last decade or so. Phillippe pointed out two revolutions that are driving the new emergence of AI.

The world of deep learning is dominated by academics and technology giants pumping thousands of dollars into their research and applications every day. There are so many real-world problems that can be solved by DL that huge corporations aren't solving. There are countless startups trying to solve an array of issues and improve efficiency in countless industries, and many of these fail - not due necessarily to a poor idea or execution, but they are often unfunded and understaffed. The startups with the really extraordinary ideas however, often secure funding from Venture Capitalists, in crowdfunding campaigns, or through awards or grants. The CEOs of these companies are not necessarily AI experts, but are experts in their own industry from artists, to healthcare professionals, scientists, retail managers and many more. At the Deep Learning Summit in London this September, we heard from four startups who are creating DL models in their businesses.