Though there has been good progress in demonstrating AI, it looks like we need to do a lot to get there or we might be looking the other way. This is quite evident among current approaches as they lack understanding of data organization (logical model) and rely on heuristic approaches to make machines behave like humans. AI… Read More How far is AI from being intelligent like humans?
In order to create ‘Strong AI’, we need to look no further than the cognitive processes of the human brain. We will see that processes involving anticipation, prediction, reasoning and abstraction are merely a combination of processes; and these can be mimicked by the machine, in order to behave just like a human. However, today’s… Read More Autonomous Learning Machine
In early computing, an avatar was a graphical representation of the user or the user’s alter ego or character. Examples were; an icon or figure representing a particular person in a video game, Internet forum, etc. Now within the scope of AI, Avatars can now be looked at as virtual embodiments of humans, which are driven… Read More Self Learning Avatars
In computing, minimalism refers to the application of minimalist philosophies and principles in the design and use of hardware and software. Minimalism, in this sense, means designing systems that use the least hardware and software resources possible. You could compare this with the functioning of the human brain, which exhibits intelligence using least hardware (sensory organs)… Read More Minimalism (computing)
The post articulates how Visual Learning works in the RM2 Platform at a high-level. The Visual learning feature in RM2 is integrated into the unified architecture where visual object detection and learning are integrated to achieve real-time detection and behavior prediction in a given environment. In order to accurately detect objects and learn from correct… Read More How Unsupervised Visual Learning operates within RM2 Platform
Introduction The post provides an overview of how RM2 Network uses unsupervised learning to process Natural Language using reference visual inputs along with the object label, just like the way humans do. We believe that in order to deliver effective machine-human communication, we need to incorporate visual cues within language learning which will give the ability… Read More How Natural Language Processing operates within RM2 Platform
The RM2 Platform is a hybrid model for Unsupervised Learning which combines aspects of Kohonen’s Self-Organizing Map (SOM) and Recurrent Networks like Hopfields Network. The Unsupervised feature of RM2 Platform, where no known target outputs are associated with each input pattern, can be compared to the Kohonen’s SOM where the SOM processes the input patterns and learns to… Read More How Unsupervised Deep Learning operates within RM2 Platform