Artificial Intelligence

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On August 4, 1997, Skynet came online to control the weapons arsenal of the United States with a mandate of “safeguarding the world.” Skynet started to learn at a geometric rate and became self-aware at 2:14am on August 29, 1997.

During the space race of the 50s, 60s, and 70s, there was a reason so many monkeys and chimpanzees were shot up into space.  Getting into space is relatively easy. Getting back safely, is the hard part (How the Spaceship

Artificial Intelligence (AI) is nothing new. The field of AI research was founded in 1956. To date, this field has been always covered with huge expectations. Phases of hypes alternated with AI winters. Surely, we are in such a hype phase, but

Artificial intelligence (AI) is making tremendous impact already in the world. Some of that impact is indirect and comes from the anticipation of things that may sound like science fiction now, which has led to massive investments in ideas and

There is a ton of noise about AI today. A quick search on Google for “Artificial Intelligence” returned 82M results and almost 4M news stories. Bloomberg reported in June that mentions of AI in earnings transcripts has risen from less than

Driverless cars – the concept has made a lot of hype over past eight to ten years. Though a lot has been going on this subject for as early as fifty years ago, studies have been done about how to

We are living in the era of 4th Industrial revolution – the evolution which is based on extreme automation of machine to machine communication, not only just the communication but way beyond. Machines can understand each other, negotiate with each

As part of the CEO Insights Series, IIoT World's Managing Editor, Lucian Fogoros, interviews Ben Wolff, Chairman, Chief Executive Officer & Director of Sarcos, about industrial robots. Lucian Fogoros: The number of industrial robots deployed worldwide will increase to around 2.6 million units

“Someday AI will change the world. But it is important to realize that statistics ≠ knowledge, and that <<deep learning>> is much more superficial than people realize. We still have a long way to go”, said Gary Marcus, Founder and