Social learning among robots has recently been the focus of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) where they announced a significant breakthrough that robots can learn from one another.
It seems that thanks to AI once the robot “knows” how to physically interact with objects, it can begin to learn more complex tasks.
But don’t be afraid of that!
Actually a robot can only transfer its skills to other robots like different body shapes,strengths..
Sure this is officially the the first step toward independent social learning in robots.
If you consider farmers are like data scientists. To make decisions, they ferret out meaning from a sea of data.
That data must me correlated to environmental conditions like temperature, rainfall, salinity, nitrogen, pests, commodity prices, and other variables.
What that data often shows is trouble: increasingly costly or scarce water supplies, new and more voracious pests, herbicide-resistant weeds, and extreme weather. All of this can result in lower farm yields and higher costs.
Today it is very common that industry players are taking an interest in artificial intelligence.
For us AI is one of the major factors that enabled the digital ransformation of our own industry supply chain.
We automated, digitalized and set up analytics tools using collected data from the field.
These tools are systems, algorithms that get closer and closer to AI, that is to say that allow the understanding of what happened, of what’s happening and of what is going to happen in the nearest future to come in our production line or in our factory.
The most important areas in industry for AI are with complex automation processes and decision-making where much of the work is normally tedious and repetitive, but still requiring a very significant level of judgement.
The result is usually a partnership between a humans and the AI, where the final call is still made by engineers.
In our company we are proud to apply that!!
We have seen that AI, which was supposed to be a failure, is coming back with gusto on the back of multi-sensor robotics and possibly androids with quantum computers.
There is some mysterious counter-intuitive behaviour in the subatomic world which seems to suggest inanimate objects do sense the external world. It would be nice to know the views of experts from different fields, such as math, science, psychology, sociology, cosmology on this intriguing subject.
One possibility that comes to mind is that probability is actually such a model, as it does incorporate randomness.
While Google did announce it’s entry into hiring and recruitment with Google Hire, it recently announced the introduction of AI technology in Google Hire.
It seems that AI can reduce the conventional hiring complications by 80%.
I think that this is a very complex matter… we should see how it will works and what is the hiring errors percentage.