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artificial general intelligence


Artificial general intelligence: Are we close, and does it even make sense to try?

#artificialintelligence

The idea of artificial general intelligence as we know it today starts with a dot-com blowout on Broadway. Twenty years ago--before Shane Legg clicked with neuroscience postgrad Demis Hassabis over a shared fascination with intelligence; before the pair hooked up with Hassabis's childhood friend Mustafa Suleyman, a progressive activist, to spin that fascination into a company called DeepMind; before Google bought that company for more than half a billion dollars four years later--Legg worked at a startup in New York called Webmind, set up by AI researcher Ben Goertzel. Today the two men represent two very different branches of the future of artificial intelligence, but their roots reach back to common ground. Even for the heady days of the dot-com bubble, Webmind's goals were ambitious. Goertzel wanted to create a digital baby brain and release it onto the internet, where he believed it would grow up to become fully self-aware and far smarter than humans.


The Why, What and How of Artificial General Intelligence Chip Development

arXiv.org Artificial Intelligence

The AI chips increasingly focus on implementing neural computing at low power and cost. The intelligent sensing, automation, and edge computing applications have been the market drivers for AI chips. Increasingly, the generalisation, performance, robustness, and scalability of the AI chip solutions are compared with human-like intelligence abilities. Such a requirement to transit from application-specific to general intelligence AI chip must consider several factors. This paper provides an overview of this cross-disciplinary field of study, elaborating on the generalisation of intelligence as understood in building artificial general intelligence (AGI) systems. This work presents a listing of emerging AI chip technologies, classification of edge AI implementations, and the funnel design flow for AGI chip development. Finally, the design consideration required for building an AGI chip is listed along with the methods for testing and validating it.


A New Hope & The Trillion Dollar Industry

#artificialintelligence

This excerpt from my upcoming book is an extension of the work I have published online on Artificial General Intelligence, Artificial General Cognition, Cognitive Artificial General Intelligence and AI Development. All of the previous content is included in The Artificial Superintelligence Handbook Series (vol. 1 & 2) available on Amazon and vol 3, including this article in full, scheduled for release early next year. Thank you to all who follow and are inspired to reach for the singularity. There is one truth in Artificial Intelligence design and development. There are lots of good coders and researchers but a huge gap between the development talent pool and financially viable commercial products.


5 Reasons You Don't Need to Learn Machine Learning

#artificialintelligence

An increasing number of Twitter and LinkedIn influencers preach why you should start learning Machine Learning and how easy it is once you get started. While it's always great to hear some encouraging words, I like to look at things from another perspective. I don't want to sound pessimistic and discourage no one, I'll just give my opinion. While looking at what these Machine Learning experts (or should I call them influencers?) Maybe the main reason comes from not knowing what do Machine Learning engineers actually do.


5 Reasons You Don't Need to Learn Machine Learning

#artificialintelligence

An increasing number of Twitter and LinkedIn influencers preach why you should start learning Machine Learning and how easy it is once you get started. While it's always great to hear some encouraging words, I like to look at things from another perspective. I don't want to sound pessimistic and discourage no one, I'm just trying to give an objective opinion. While looking at what these Machine Learning experts (or should I call them influencers?) Maybe the main reason comes from not knowing what do Machine Learning engineers actually do. It certainly isn't easy to master Machine Learning as influencers preach.


How Artificial Intelligence Will Change The Future: AI in Self-Driving Cars

#artificialintelligence

Today we will let you know how artificial intelligence will change the future. Sometimes you start work, and in a domino-like way, it gets going and going. For instance, you might be close to those famous YouTube videos of a beaker. That will directly gush out foam when loaded with a special liquid. It is related to a type of chain reaction. History shows that as the first creation of the atomic bomb. Some scientists included were concerned. What if the nuclear shell set off, it might start a chain effect.


How solving CAPTCHAs can bring us closer to artificial general intelligence

#artificialintelligence

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Creating machines that have the general problem–solving capabilities of human brains has been the holy grain of artificial intelligence scientists for decades. Our current AI methods either require a huge amount of data, or a very large number of hand-coded rules, and they're only suitable for very narrow domains. AGI, on the other hand, should be able to perform multiple tasks with little data and specific instructions. While approaches to creating AGI have shifted and evolved over the decades, one thing has remained constant: The human brain is proof that general intelligence does exist.


The link between CAPTCHAs and artificial general intelligence

#artificialintelligence

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Creating machines that have the general problem–solving capabilities of human brains has been the holy grain of artificial intelligence scientists for decades. Our current AI methods either require a huge amount of data, or a very large number of hand-coded rules, and they're only suitable for very narrow domains. AGI, on the other hand, should be able to perform multiple tasks with little data and specific instructions. While approaches to creating AGI have shifted and evolved over the decades, one thing has remained constant: The human brain is proof that general intelligence does exist.


Don't Fear Artificial General Intelligence

#artificialintelligence

AI has blasted its way into the public consciousness and our everyday lives. It is powering advances in medicine, weather prediction, factory automation, and self-driving cars. Even golf club manufacturers report that AI is now designing their clubs. Google Translate helps us understand foreign language webpages and talk to Uber drivers in foreign countries. Vendors have built speech recognition into many apps.


How Artificial Intelligence Will Change The Future: AI in Self-Driving Cars - Techiexpert.com

#artificialintelligence

Today we will let you know how artificial intelligence will change the future. Sometimes you start work, and in a domino-like way, it gets going and going. For instance, you might be close to those famous YouTube videos of a beaker. That will directly gush out foam when loaded with a special liquid. It is related to a type of chain reaction. History shows that as the first creation of the atomic bomb. Some scientists included were concerned. What if the nuclear shell set off, it might start a chain effect.