You can expect new announcements when it comes to GPU technologies, new generations of existing products and some cool demonstrations of machine learning technologies.
Information about the earliest successful demonstration of machine learning was published in 1952.
An intuitive way to reduce this expensive exercise is to replace programming with machine learning of robot actions from demonstration where a (learner) robot learns an action by observing a demonstrator robot performing the same.
To achieve this learning from demonstration (LFD) different machine learning techniques such as Artificial Neural Networks (ANN), Genetic Algorithms, Hidden Markov Models, Support Vector Machines, etc. can be used.
In [16], Billard et al. present an overview of different machine learning approaches in robot programming by demonstration.
There are, however, limitations currently with respect to image resolution and other anomalies, but at the very least it's an impressive demonstration of both machine learning and machine vision technologies.
In the past years, many authors have considered application of machine learning methodologies to effect robot learning by demonstration.
For more information, here is a demonstration from MonkeyLearn, a leader in the open-source machine learning space [https://www.youtube.com/watch?v=ZwHTT4pl8Rc].
From Google demonstrations on YouTube videos to Baidu's Deep Mind project, the machine learning technique known as "deep learning" has suddenly made it possible for computers to achieve image recognition accuracies far beyond prior capabilities.
Natural language conversations, gesturing, demonstrations, teleoperation and other modes of communication offer a new paradigm for machine learning through instruction from humans.
