Proper nomenclature has to be followed when referring to either AI or automation. The trend of misinterpreting AI for automation and vice versa has grown uncontrollably mostly due to recent developments in voice recognition systems like Alexa, Google Assistant, and Siri. These technologies automate search processes that until now were heavily manual, and they have automated them to such an extent that this automation is beginning to be perceived as commonplace. To a non-technical person, it may even seem as if the machines are "thinking". However, this is not the case.

Artificial Intelligence (AI) has inspired the general populace, but its rapid rise over the past few years has given many people pause. Within the technology industry, we have a better understanding about the potential for the technology, but the ways in which it will develop are less clear. Semiconductor Engineering asked the community to assess the status of AI and machine learning (ML) and if they thought the technology was being overhyped. "What makes AI so interesting is that it's a global phenomenon with universities, established companies, start-ups and even countries all trying to move the game forward as fast as possible," says Andrew Grant, senior business development director for Vision & AI at Imagination Technologies. "The Fourth Industrial Revolution is perhaps the first where people can see change happening on an almost daily basis."

This post explains why artificial intelligence (AI) is the key to building anti-abuse defenses that keep up with user expectations and combat increasingly sophisticated attacks. This is the first post of a series of four posts dedicated to provide a concise overview of how to harness AI to build robust anti-abuse protections. The remaining three posts will delve into the top 10 anti-abuse specific challenges encountered while applying AI to abuse fighting, and how to overcome them. Following the natural progression of building and launching an AI-based defense system, the second post covers the challenges related to training, the third will delve into classification issues and the last one will look at how attackers attempt to attack AI-based defenses. This series of posts is modeled after the talk I gave at RSA 2018.

Add artificial intelligence (AI) into the equation--and more than a few apocalyptic movies about such learning-enabled machines taking over the human race--and the fear factor is ratcheted up a bit. Though ethical concerns are prevalent, executives across the globe say AI is nonetheless certain to develop further in their businesses. According to a study released this week by Infosys, 71 percent of the 1,600 senior business decision-makers surveyed say that the rise of AI in the workplace is inevitable, pointing to positive changes for business prospects, employees and society. The study--commissioned by Infosys and conducted by independent market researcher Vanson Bourne--set out to investigate the approach and attitudes that senior decision-makers in large organizations (at least 1,000 employees and $500 million in annual revenue) have toward AI technology and how they see the future application and development of AI in their industries. Although AI definitions can vary, it is generally considered as an activity traditionally performed through human intelligence that can now be done by a computer.

Add artificial intelligence (AI) into the equation--and more than a few apocalyptic movies about such learning-enabled machines taking over the human race--and the fear factor is ratcheted up a bit. Though ethical concerns are prevalent, executives across the globe say AI is nonetheless certain to develop further in their businesses. According to a study released this week by Infosys, 71 percent of the 1,600 senior business decision-makers surveyed say that the rise of AI in the workplace is inevitable, pointing to positive changes for business prospects, employees and society. The study--commissioned by Infosys and conducted by independent market researcher Vanson Bourne--set out to investigate the approach and attitudes that senior decision-makers in large organizations (at least 1,000 employees and $500 million in annual revenue) have toward AI technology and how they see the future application and development of AI in their industries. Although AI definitions can vary, it is generally considered as an activity traditionally performed through human intelligence that can now be done by a computer.

The theory that humans will eventually be able to upload our brains to computers has fascinated futurists and neuroscientists for years. By transferring our minds into machines we could live forever, unmoored from the feebleness of our physical bodies. The concepts of death and bereavement as we know them now would cease to exist. Currently the idea lives within whitepapers and sci-fi movies, and the only thing (most) researchers agree on is that it won't be possible for a really long time. But while we're far from achieving that pinnacle of immorality, technology in the here-and-now has already started giving us a sliver of eternal life while shaping how we grieve our loved ones if and when they die.