Last week, the credit reporting agency Equifax announced that malicious hackers had leaked the personal information of 143 million people in their system. That's reason for concern, of course, but if a hacker wants to access your online data by simply guessing your password, you're probably toast in less than an hour.
For some, the spread of artificial intelligence and robotics poses a threat to our privacy, our jobs - even our safety, as more and more tasks are handed over to silicon-based brains. But even the most vocal critics highlight the potential good that AI and automated systems could do for humanity.
Facebook Inc. said Friday it will open a new artificial intelligence research lab in Montreal, marking the latest move by a company to invest in that type of technology in Canada.
Azure Machine Learning can generate a kind of "credit score." Stefano Tempesta describes how, and previews his Directions EMEA 2017 session.
The following is an excerpt from Research Methods for Cyber Security by authors Thomas W. Edgar and David O. Manz and published by Syngress. This section from chapter six explores the various categories of machine learning. Machine learning is a field of study that looks at using computational algorithms to turn empirical data into usable models.
Computer scientist Arthur Samuel is rumored to have said that machine learning is an aspect of his field that gives "computers the ability to learn without being explicitly programmed." That's why machine learning is also considered an element of artificial intelligence, or AI, which deals more generally with how computers can figure things out for themselves.
When will the deep learning bubble burst? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. Answer by Andrew Ng, Co-founder of Coursera; Adjunct Professor at Stanford, on Quora: There was a lot of hype about electricity about 100 years ago.
