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 brain has an amazing capacity for recognizing faces. It can identify a face in a few thousandths of a second, form a first impression of its owner and retain the memory for decades. Central to these abilities is a longstanding puzzle: how the image of a face is encoded by the brain. Two Caltech biologists, Le Chang and Doris Y. Tsao, reported in Thursday's issue of Cell that they have deciphered the code of how faces are recognized. Their experiments were based on electrical recordings from face cells, the name given to neurons that respond with a burst of electric signals when an image of a face is presented to the retina.
Sören Schwertfeger finished his postdoctorate research on autonomous robots in Germany, and seemed set to go to Europe or the United States, where artificial intelligence was pioneered and established. Instead, he went to China. "You couldn't have started a lab like mine elsewhere," Mr. Schwertfeger said. The balance of power in technology is shifting. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future.
Sören Schwertfeger finished his postdoctorate research on autonomous robots in Germany, and seemed set to go to Europe or the United States, where artificial intelligence was pioneered and established. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future. Experts widely believe China is only a step behind the United States. Beijing is backing its artificial intelligence push with vast sums of money.
The technology entrepreneur Elon Musk recently urged the nation's governors to regulate artificial intelligence "before it's too late." Mr. Musk insists that artificial intelligence represents an "existential threat to humanity," an alarmist view that confuses A.I. science with science fiction. Nevertheless, even A.I. researchers like me recognize that there are valid concerns about its impact on weapons, jobs and privacy. It's natural to ask whether we should develop A.I. at all. I believe the answer is yes.
If conventional psychology isn't up to the task, perhaps we should step back and consider a tantalizing sci-fi alternative -- that Trump doesn't operate within conventional human cognitive constraints, but rather is a new life form, a rudimentary artificial intelligence-based learning machine. When we strip away all moral, ethical and ideological considerations from his decisions and see them strictly in the light of machine learning, his behavior makes perfect sense. Consider how deep learning occurs in neural networks such as Google's Deep Mind or IBM's Deep Blue and Watson. The goal of DNA is self-reproduction; the sole intent of Deep Mind or Watson is to win.
These days, it’s tough to avoid newspaper headlines warning that artificial intelligence is coming for your job. The problem is that, often, the only thing these oversimplifications get right is that there is in fact an important connection between automation and work. What’s surprising is how many examples there are of AI acting as the catalyst for new hiring, higher wages, and happier employees. But of course AI success stories aren’t as exciting as the “job-stealing robots” narrative. The reality is that the impact of AI on the workforce is complex, nuanced, and still very much in transition.
Daniel (Danny) Bobrow passed away peacefully at home with his wife Toni and daughters Kimberly and Deborah in Palo Alto, California, on March 20, 2017, having bravely fought a five-month battle with cancer. Danny was born to Ruth Gureasko Bobrow and Jacob Bobrow on November 29, 1935, in the Bronx, New York City. A gifted student, he attended Bronx High School of Science and went on to earn a BS from Rensselaer Polytechnic Institute, an MS from Harvard, and a PhD in Mathematics from Massachusetts Institute of Technology under the supervision of Marvin Minsky. His was one of the first MIT doctoral theses in Artificial Intelligence. A pioneer with a long and distinguished research career in Artificial Intelligence as a Research Fellow in the System Sciences Laboratory of the Palo Alto Research Center (PARC), he is remembered as a mentor, friend, and role model for many.