artificial general intelligence


From Here to Human-Level Artificial General Intelligence in Four (Not All That) Simple Steps

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However, these achievements remain essentially in the domain of "narrow AI"--AI that carries out tasks based on specifically-supplied data or rules, or carefully-created training situations. AIs that can generalize to unanticipated domains and confront the world as autonomous agents are still part of the road ahead. The question remains: what do we need to do to get from today's narrow AI tools, which have become mainstream in business and society, to the AGI envisioned by futurists and science fiction authors? While there is a tremendous diversity of perspectives and no shortage of technical and conceptual ideas on the path to AGI, there is nothing resembling an agreement among experts on the matter. For example, Google DeepMind's chief founder Demis Hassabis has long been a fan of relatively closely brain-inspired approaches to AGI, and continues to publish papers in this direction.


A Heuristic Search Algorithm Using the Stability of Learning Algorithms in Certain Scenarios as the Fitness Function: An Artificial General Intelligence Engineering Approach

arXiv.org Artificial Intelligence

This paper presents a non-manual design engineering method based on heuristic search algorithm to search for candidate agents in the solution space which formed by artificial intelligence agents modeled on the base of bionics.Compared with the artificial design method represented by meta-learning and the bionics method represented by the neural architecture chip,this method is more feasible for realizing artificial general intelligence,and it has a much better interaction with cognitive neuroscience;at the same time,the engineering method is based on the theoretical hypothesis that the final learning algorithm is stable in certain scenarios,and has generalization ability in various scenarios.The paper discusses the theory preliminarily and proposes the possible correlation between the theory and the fixed-point theorem in the field of mathematics.Limited by the author's knowledge level,this correlation is proposed only as a kind of conjecture.


Artificial General Intelligence Breakthroughs To Watch Out For In 2018

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As our society's technological progress marches forward, we've become ever more fascinated with the concept of artificial general intelligence (AGI). From IBM's Jeopardy-playing computer, Watson to television programs like Westworld, we've collectively begun exploring and philosophizing about the potential of AGI. Of course, most discussions about AGI in our popular culture are focused on the future, and not the current realities of the present when it comes to artificial general intelligence. Below, we'll discuss the current realities of AGI and what breakthroughs we're on the cusp of in 2018. How Close Are We To True Artificial General Intelligence?


AI and Machine Learning Will Change Our Business Future - Which-50

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Artificial intelligence (AI) and machine learning are variously portrayed as the future of our workplaces or the death of employment as we know it. Somewhere between those two extremes lies the reality. These emerging technologies will be core parts not just of technology strategies, but of how we deliver services across our businesses. We're seeing it already in marketing through programmatic systems that determine the best places to make yourself be seen, in customer support through the use of chatbots and in security where vast volumes of data are scanned and analysed by computers that tell us where the real threats are. IDC predicts that spending on machine learning and AI will leap from around $US12 billion last year to over $US57 billion over the next three years, with Deloitte adding that the number of AI and machine learning projects will double this year over last year and then double again by the end of this decade.


A Bot Backed by Elon Musk Has Made an AI Breakthrough in Video Game World

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Artificial-intelligence research group OpenAI said it created software capable of beating teams of five skilled human players in the video game Dota 2, a milestone in computer science. The achievement puts San Francisco-based OpenAI, whose backers include billionaire Elon Musk, ahead of other artificial-intelligence researchers in developing software that can master complex games combining fast, real-time action, longer-term strategy, imperfect information and team play. The ability to learn these kinds of video games at human or super-human levels is important for the advancement of AI because they more closely approximate the uncertainties and complexity of the real world than games such as chess, which IBM's software mastered in the late 1990s, or Go, which was conquered in 2016 with software created by DeepMind, the London-based AI company owned by Alphabet Inc. Dota 2 is a multiplayer science-fiction fantasy video game created by Bellevue, Washington-based Valve Corp. Each team is assigned a base on opposing ends of a map that can only be learned through exploration. Each player controls a separate character with unique powers and weapons.


US gov quizzes AI experts about when the machines will take over

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A panel of AI experts have been grilled on the impact and importance of artificial general intelligence by the US House of Representatives on Tuesday. The hearing was ominously named "Artificial Intelligence – With Great Power Comes Great Responsibility." Narrow AI for specific tasks has been rapidly advancing and the committee wanted to know how far off artificial general intelligence (AGI), where a system can learn multiple actions and do them better than humans, would be. Greg Brockman, co-founder and CTO at OpenAI, defined AGI as "highly autonomous systems that outperform humans at most economically valuable work". Progress is spearheaded by three areas: data, computation, and algorithms.


This AI robot just destroyed humans in complex computer game

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Artificial-intelligence research group OpenAI said it created software capable of beating teams of five skilled human players in the video game Dota 2, a milestone in computer science. The achievement puts San Francisco-based OpenAI, whose backers include billionaire Elon Musk, ahead of other artificial-intelligence researchers in developing software that can master complex games combining fast, real-time action, longer-term strategy, imperfect information and team play. The ability to learn these kinds of video games at human or super-human levels is important for the advancement of AI because they more closely approximate the uncertainties and complexity of the real world than games such as chess, which IBM's software mastered in the late 1990s, or Go, which was conquered in 2016 with software created by DeepMind, the London-based AI company owned by Alphabet Inc. Dota 2 is a multiplayer science-fiction fantasy video game created by Bellevue, Washington-based Valve Corp. Each team is assigned a base on opposing ends of a map that can only be learned through exploration. Each player controls a separate character with unique powers and weapons.


OpenAI cofounder Greg Brockman on the transformative potential of artificial general intelligence

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Greg Brockman, cofounder of nonprofit AI research organization OpenAI, had an interest in artificial intelligence from a young age, but he didn't come to it right away. Brockman studied computer science at Stanford before transferring to MIT, where he dropped out to launch online payments platform Stripe. As a founding engineer, Brockman helped scale the business from four people to 250. But he had his heart set on another field: artificial general intelligence, or systems that can perform any intellectual task that a human can. Brockman left Stripe to pursue a career in AI, building a knowledge base from the ground up.


OpenAI cofounder Greg Brockman on the transformative potential of artificial general intelligence

#artificialintelligence

Greg Brockman, cofounder of nonprofit AI research organization OpenAI, had an interest in artificial intelligence from a young age, but he didn't come to it right away. Brockman studied computer science at Stanford before transferring to MIT, where he dropped out to launch online payments platform Stripe. As a founding engineer, Brockman helped scale the business from four people to 250. But he had his heart set on another field: artificial general intelligence, or systems that can perform any intellectual task that a human can. Brockman left Stripe to pursue a career in AI, building a knowledge base from the ground up.


Musk-backed bot conquers e-gamer teams in AI breakthrough

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The achievement puts San Francisco-based OpenAI, whose backers include billionaire Elon Musk, ahead of other artificial-intelligence researchers in developing software that can master complex games combining fast, real-time action, longer-term strategy, imperfect information and team play. The ability to learn these kinds of video games at human or super-human levels is important for the advancement of AI because they more closely approximate the uncertainties and complexity of the real world than games such as chess, which IBM's software mastered in the late 1990s, or Go, which was conquered in 2016 with software created by DeepMind, the London-based AI company owned by Alphabet. Dota 2 is a multiplayer science-fiction fantasy video game created by Bellevue, Washington-based Valve Corp. Each team is assigned a base on opposing ends of a map that can only be learned through exploration. Each player controls a separate character with unique powers and weapons.