Skip to main content

Programs == Rules

 When crafting an algorithm for dealing with some kind of problem, we usually are involved with designing rules that transform the input data into output data. The programming language is a method convenient to humans for rules specification. But generally, the computer itself does not need anything more than low-level binary instructions to transform input data into some desired output.

Although high-level programming languages have proven to be of much aid to the human intellect when it comes to crafting rules that the computer can follow, it also comes with some bottlenecks and as we now realise when it comes to problems whose rules cannot be easily specified we use machine learning to discover models that map the input to output. 

Machine learning methods especially deeplearning have proven to be potent tools when we need to discover a model or a set of rules that map the input to output and will continually augment many algorithm development activities but they also come with their own bottlenecks. They are not very transparent in how the rules determine the output, and their performance is very bad requiring very large compute resources to perform simple operations. 

Machine learning, which is based on statistics might not be the only way to generate rules that map inputs to output, in the future it will be possible to generate rules automatically using some other methods, rules that are much simpler to execute and thus much more efficient than current machine learning systems. 


Popular posts from this blog

Next Steps Towards Strong Artificial Intelligence

What is Intelligence? Pathways to Synthetic Intelligence If you follow current AI Research then it will be apparent to you that AI research, the deep learning type has stalled! This does not mean that new areas of application for existing techniques are not appearing but that the fundamentals have been solved and things have become pretty standardized.

Virtual Reality is the next platform

VR Headset. Source: It's been a while now since we started trying to develop Virtual Reality systems but so far we have not witnessed the explosion of use that inspired the development of such systems. Although there are always going to be some diehard fans of Virtual Reality who will stick to improving the medium and trying out stuff with the hopes of building a killer app, for the rest of us Virtual Reality still seems like a medium that promises to arrive soon but never really hits the spot.

What is Intelligence: Software writing Software

Sometimes I wonder why programmers are hell-bent on writing programs that can communicate in natural language and not even putting adequate effort into writing programs that write other programs. Maybe is because of the natural tendency to protect one's source of livelihood by not attempting to automate it away or maybe because writing programs is hard enough such that contemplating of writing some program that writes programs might be even harder.