In a lecture held by Nobel Laureate Richard Feynman (1918–1988) on September 26th, 1985, the question of artificial general intelligence (also known as “strong-AI”) comes up.
Do you think there will ever be a machine that will think like human beings and be more intelligent than human beings? Read More
Tag Archives: Artificial Intelligence
On the Measure of Intelligence
To make deliberate progress towards more intelligent and more human-like artificial systems, we need to be following an appropriate feedback signal: we need to be able to define and evaluate intelligence in a way that enables comparisons between two systems,as well as comparisons with humans. Over the past hundred years, there has been an abundance of attempts to define and measure intelligence, across both the fields of psychology and AI. We summarize and critically assess these definitions and evaluation approaches,while making apparent the two historical conceptions of intelligence that have implicitly guided them. We note that in practice, the contemporary AI community still gravitates to-wards benchmarking intelligence by comparing the skill exhibited by AIs and humans at specific tasks, such as board games and video games. We argue that solely measuring skill at any given task falls short of measuring intelligence, because skill is heavily modulated by prior knowledge and experience: unlimited priors or unlimited training data allow experimenters to “buy” arbitrary levels of skills for a system, in a way that masks the system’s own generalization power. We then articulate a new formal definition of intelligence based on Algorithmic Information Theory, describing intelligence as skill-acquisition efficiency and highlighting the concepts of scope,generalization difficulty,priors, and experience, as critical pieces to be accounted for in characterizing intelligent systems. Using this definition, we propose a set of guidelines for what a general AI benchmark should look like.Finally, we present a new benchmark closely following these guidelines, the Abstraction and Reasoning Corpus (ARC), built upon an explicit set of priors designed to be as close as possible to innate human priors. We argue that ARC can be used to measure a human-like form of general fluid intelligence and that it enables fair general intelligence comparisons between AI systems and humans. Read More
An alliance is being forged between 5G and artificial intelligence
INTERVIEW: Rui Inácio, Head of Consultancy and Solutions at Vilicom has over 15 years of experience in the telecommunications industry, starting as an engineer.
He is a technical expert in 5G, 4G, 3G and 2G, multi-vendor RAN (Ericsson, Huawei, Nokia), network optimisation processes, network performance management and network configuration management. We spoke to him about 5G, IoT, AI, and how businesses can best take advantage of them – including how developed countries developed countries in industries affected by the offshoring advent of the 1990s and 2000s can regain a competitive position. Read More
Steve Wozniak Shares Perspectives On Technology, AI and Innovation
In an exclusive interview and in a presentation at the Novathon conference, the Apple co-founder discusses his love for technology, his fears about artificial intelligence, and his perspectives on the potential for digital transformation.
While optimistic about the future, Steve Wozniak is not ready to turn over his identity (nor his Tesla) to artificial intelligence anytime soon. At a conference in Budapest I attended, he referenced deleting his Facebook account because of privacy concerns, and that he no longer believes that a totally autonomous car will happen in his lifetime. But Wozniak retains the passion and enthusiasm for technology and innovation that made him a household name as Apple’s co-founder. Read More
FRONTLINE: In the Age of AI
FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society. Read More (Watch the Video)
Top Artificial Intelligence Influencers To Follow in 2019
To understand artificial intelligence in 2019, watch this 1960 TV show
“If the computer is this important, why haven’t I heard more about it?”
“Well, the computer is a relatively new thing, and we’re just really getting an appreciation for the full range of its usefulness. Many people think that it’s going to spark a revolution that will change the face of the earth almost as much as the first industrial revolution did.” …
Back in 1960, this was an excellent introduction to a subject that mattered a lot—and which, as Wiesner explained, people were just beginning to understand. It includes still-fascinating demos and interviews with significant figures in the history of AI. Fifty-nine years later after its first airing, its perspective on AI’s progress and possibilities remains unexpectedly relevant. Read More
Could Artificial Intelligence Spell the End of Independent Filmmaking?
A new kind of AI technology can identify elements that might make a film perform better at the box office. But as creator Sami Arpa explains, the creative process is still key good to good movies. Read More
AI Knowledge Map: how to classify AI technologies
Multiple classifications, distinctions, landscapes, and infographics exist to represent and track the different ways to think about AI. However, I am not a big fan of those categorization exercises, mainly because I tend to think that the effort of classifying dynamic data points into predetermined fix boxes is often not worth the benefits of having such a “clear” framework (it is a generalization of course, cause sometimes they are extremely useful). …
This article in principle targets both people who are starting in AI to give them a broad sense of what is out there, as well as experts and practitioners who are experimenting with these technologies for a while (with an explicit request to send me feedback on how you would structure it or other technologies that should be captured by AI spectrum).
The Rise of T-1000: Artificial Intelligence on the Battlefield
Artificial Intelligence (AI) or machine learning is being used by military intelligence and at the high strategic level. The question is whether this technology will ever filter down to the soldier actually doing the fighting on the ground? Science fiction novels and movies suggest a system that can communicate with a warfighter in real time and provide situational awareness, but how far is the fiction from reality?
“The most important weapon is situation awareness, and there are AI-based tools to help a lot with this,” explained Jim Purtilo, associate professor of computer science at the University of Maryland. Read More
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