algorithms

Automation technologies such as the Jacquard loom were ubiquitous in the 1800s during the first industrial revolution. Such machines eliminated some of the most tedious and time-consuming jobs from factories, and raised production to record levels. 

Then, in the mid-1900s, the robotic arm was invented. Like the loom, that too is a machine ubiquitous in the contemporary industrial landscape. And with the advent of computing, robotics and automation systems have been increasingly integrated into self-contained production systems, controlled through what might now be considered rudimentary forms of artificial intelligence.

That integration process is still ongoing, but meanwhile a number of new technologies have emerged – particularly in computing and networking – which are combining to form trends that are themselves coalescing. Experts are now encapsulating all these technologies, trends and developments into a relatively new catch-all term – Industry 4.0.

One of the key features of Industry 4.0 is, arguably, the gradual encroachment of AI into what used to be considered jobs that only humans could do – the robots were supposedly not clever enough. The common misconception was that computer-controlled robotics and automation systems can only perform simple manual labour tasks.

While this may be true to a large extent, Moravec’s paradox shows that this is not the whole story, and that, in fact, computers are more suited to high-level intellectual jobs. Which seems obvious when you think about it, or get your robot to think about it. However, neither the hardware nor the software has been available to demonstrate the implications of the paradox on a large scale, until now.

At least some of these views are shared by Alexander Khaytin, chief operating officer at the Yandex Data Factory. According to Khaytin, the gradual move to Industry 4.0 requires rethinking of the full implications of new, artificial intelligence-based technologies.

In exclusive comments to Robotics and Automation News, Khaytin makes the observation that many intellectual tasks are already undertaken by AI systems.

“When we talk about automation, it is often associated with robots performing manual tasks, replacing humans on the assembly line and so on,” says Khaytin.  [Read more…] about It’s not just factory jobs the robots are after – it’s your intellectual jobs too