 | | Word of the Day |  | | Daily updates on the latest technology terms | January 10, 2019 | | | AI winter | | AI winter is a quiet period for artificial intelligence research and development. Over the years, funding for AI initiatives has gone through a number of active and inactive cycles. The label "winter" is used to describe dormant periods when customer interest in artificial intelligence declines. Historically, AI winters have occurred because vendor promises have fallen short and AI initiatives have been more complicated to carry out than promised. When AI-washed products fail to deliver a robust return on investment (ROI), buyers become disappointed and direct their attention elsewhere. Use of the season winter to describe the resulting downturn emphasizes the idea that the quiet period will be a temporary state, followed again by growth and renewed interest. In the past few years, AI has been on a long, strong upswing, but after several years of hype, advances and implementations, some analysts are predicting another AI winter. Continue reading...
| |  | "When people have asked me over the last 35 years in Stanford what I thought of AI, I say well, it's a very promising technology. It's been promising ever since I encountered it -- and it continues to promise, but I think it suffers from being over-promising." - David Cheriton
| AI winter Learning Center AI vendors to watch in 2020 and beyond
The past 10 years have seen a surge of new AI vendors, and the trend isn't likely to end anytime soon, as investors continue to pour money into artificial intelligence. Timeline of AI winters casts a shadow over today's applications
As we think about today's AI technology and where it might go from here, it's useful to keep in mind how trends in AI research and development have played out in the past. AI winter is coming? Not this time, Tom Davenport says
A new AI winter, or downturn, is unlikely, even if the current slew of inflated expectations surrounding AI predicts inevitable disappointment, analytics expert Tom Davenport says. A glimpse into the future of AI enterprise applications
Hands-on experience building bots on the Azure cloud and briefings from Microsoft experts show that the future of AI is here, and it's more user-friendly than you might expect. Common sense AI approaches point to more general applications
The race to attain artificial general intelligence is on. Ranging from predictions of 10 to 200 years away, the one thing experts can agree on is that common sense AI is the next step in the journey. Limits of AI today push general-purpose tools to the horizon
The future of AI should be focused on more general-purpose tools, but developers have a long way to go before achieving the kind of AI movies taught us to expect. Human-AI collaboration produces top results
Humans and machines have different -- and often complementary -- strengths and weaknesses. That's why we're not seeing automation leading to mass job losses, at least for now. What is the most popular programming language used in AI?
a. Turing
b. Python Answer
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