If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The science and tech world has been abuzz about quantum computers for years, but the devices are not yet affecting our daily lives. Quantum systems could seamlessly encrypt data, help us make sense of the huge amount of data we've already collected, and solve complex problems that even the most powerful supercomputers cannot – such as medical diagnostics and weather prediction. That nebulous quantum future became one step closer this November, when top -tier journal Nature published two papers that showed some of the most advanced quantum systems yet. If you still don't understand what a quantum computer is, what it does, or what it could do for you, never fear. Futurism recently spoke with Mikhail Lukin, a physics professor at Harvard University and the senior author of one of those papers, about the current state of quantum computing, when we might have quantum technology on our phones or our desks, and what it will take for that to happen. This interview has been slightly edited for clarity and brevity.
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Gaining an advantage in the global high-tech market is often the result of research and development (R&D) combined with execution and incremental improvement. Today's emerging cloud-based artificial intelligence (AI) platforms are a perfect example of R&D-fueled competition. With the cloud giants and many governments investing heavily in AI R&D, what's a mere multinational corporation to do?
Gaining an advantage in the Global high-tech market is often the result of research and development (R&D) combined with execution and incremental improvement. Today's emerging cloud-based artificial intelligence (AI) platforms are a perfect example of R&D-fueled competition. With the cloud giants and many governments investing heavily in AI R&D, what's a mere multinational corporation to do?
History teaches us that there were two large AI Winters in the past. One starting in the mid 1970s and another in the late 1980's There were very clear reasons for the last two AI Winters, but most of the technical and cost issues are gone. The wild card is how humans accept AI this time around. My bet is against another brutal winter. This does not mean there won't be cold snaps, but a 15-20 year freeze out doesn't seem likely now.