“Right now, artificial intelligence learns by analyzing example after example and looking for patterns. The scientists behind this research argue that their quantum superpositions could vastly improve the process.”
Artificial intelligence, machine learning, and big data will transform financial services and small-business lending long before they impact driverless cars, predicts Harvard Business School Senior Fellow Karen G. Mills.
“Artificial intelligence is spreading across every industry. With new developments making headlines every day, it can be tough to sort out the essential news from the hype. Our analysts cut through the noise to identify 25 of the top AI trends to watch this year.”
via CB Insights
Worldwide spending on AI systems is forecast to reach $35.8 billion in 2019 — that’s an increase of 44 percent over the amount invested in 2018. IDC expects spending on AI systems will more than double to $79.2 billion in 2022 with a compound annual growth rate (CAGR) of 38 percent over the 2018-2022 forecast period.
American companies face a major skills shortage for AI engineers and other highly technical roles, yet most American students are not pursuing advanced degrees in these fields. American students earn fewer than half of the U.S. doctoral degrees in many STEM fields.
Artificial Intelligence (AI) engineers are expected to be able to develop expertly within information science, data management, integration, application development, and have knowledge of the use and application of machine learning in solutions.
“For most of us, the more we use technology, the better we get at learning shortcuts. AI is the same. Machine learning, an increasingly impressive branch of AI, enables machines to process data and learn on their own, compounding knowledge as each additional piece of data is acquired.”