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Why Neuro-symbolic AI is the future of AI: Here’s how it works
You thought AI is intelligent? Well, it has a long road ahead.
Without a doubt, artificial intelligence is one of the most revolutionary technologies being developed. Though, as powerful as it is, there still are a lot of basic problems it is yet to become competent to solve.
David Cox, Director of MIT-IBM Watson AI lab says, “It’s time to reinvent artificial intelligence.” And, according to him, neuro-symbolic AI is the answer.
We take a quick look into what ails present AI, and how AI engineers can revolutionize the discipline with neuro-symbolic AI.
Say, an AI program is asked to “Look at the picture below and tell if there are an equal number of large things and metal spheres?
It will be impossible for a state-of-the-art AI neural network program to answer this simple question.
Founder & Research Vice President at 451 Research, Nick Patience, and Sajesh Gopinath, UST SmartOps GM
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The Shortest Guide to Launch Your Career The AI Way (Infographic)
From machine learning to robotics and data science, there are multiple avenues to commence a career in AI. A number of exciting opportunities beckon, and a disciplined approach is essential to capitalize on these.
The infographic below shows how AI is transforming b...
According to the post, the prediction accuracy of Multi-issue bargaining model described in the post is high enough that the technique dramatically improved negotiation tactics in the following areas:
Negotiating harder: The new agents held longer conversations with humans, in turn accepting deals less quickly. While people can sometimes walk away with no deal, the model in this experiment negotiates until it achieves a successful outcome.
Intelligent maneuvers: There were cases where agents initially feigned interest in a valueless item, only to later “compromise” by conceding it — an effective negotiating tactic that people use regularly. This behavior was not programmed by the researchers but was discovered by the bot as a method for trying to achieve its goals.
Producing novel sentences: Although neural models are prone to repeating sentences from training data, this work showed the models are capable of generalizing when necessary.
Choosing Your First Programming Language For AI: Python and Ruby
Choosing the right language to learn and excel at can be the most crucial step in any programmer’s career journey.
Different unexplored worlds wait out there for programmers to explore and a programming language can be their best lens. Every language opens unique doors leading to many-sided possibilities.
In this article, we discuss the two most widely used languages in the programming world: Python and Ruby. With their origins in 1909s, both are license free and cross-platform. If this brings hope, then read along for a plethora of pleasant surprises both can bring.
But before we begin, a broad view of the mustn’t-miss basics: