I get very annoyed when I see discussion or predictions of "when AI will reach human-level intelligence". That implies that intelligence is just one thing that you can measure linearly. Humans do not have even just 7 intelligences, as proposed by Howard Gardner. There are more dimensions to intelligence than we can imagine. Machines have already vastly outperformed human "intelligence" in myriad domains, including of course almost all games we have invented, among them chess and Go, and a multitude of data-driven judgments and decisions.

Meta is one of the leading companies in AI development globally. However, the company appears to not have confidence in the current AI methods. According to Yann LeCun, chief AI scientist at Meta, there needs to be an improvement for true intelligence. LeCun claims that the most current AI methods will never lead to true intelligence. His research on many of the most successful deep learning fields today method is skeptical.

There exists a fascinating single-celled organism (Physarum polycephalum), informally referred to as "slime mold" or "the blob" due to its mold-like appearance and growth patterns. After analyzing how this organism intelligently expands, successfully solves mazes and is propelled toward resources throughout its lifecycle, we will then consider our current definition of what it means to be "an intelligent organism", and how this fascinating mold could reshape the requirements for being considered "truly intelligent" by human standards. We will start off by looking at what exactly this mold is and what its core components are. The slime mold has some unique traits such as having an extensive network of tubular extensions called "pseudopods" that can cover several square meters at full size, being able to double its mass every day (if resources allow), avoid potentially toxic areas and completely heal itself if it is sliced in half. Even the way this organism moves is very intriguing: "During locomotion with a speed of 1 cm/h, the size and mesh of tubes evolve depending on the position within the organism. At the frontal part of the plasmodium, small components of the tube are very densely connected and some of the small tubes gradually become thick, while most of them disappear toward the rear" one researcher says.

I hope that you enjoy the latest AI news and insights, don't forget to comment with your feedback. Make sure to check the Web3 section at the end! But is Gato truly intelligent – having AGI? Google AI took on the challenge: The first iteration of the AI-generated script was completed by November 2021. The script was interesting, but there was also a lot of gibberish. A second version aims to dial a new gate address for a more involved and engaging Stargate script.

DeepMind's Gato may or may not be a major breakthrough for AI DeepMind has released what it calls a "generalist" AI called Gato, which can play Atari games, accurately caption images, chat naturally with a human and stack coloured blocks with a robot arm, among 600 other tasks. But is Gato truly intelligent – having artificial general intelligence – or is it just an AI model with a few extra tricks up its sleeve? What is artificial general intelligence (AGI)? Outside science fiction, AI is limited to niche tasks. It has seen plenty of success recently in solving a huge range of problems, from writing software to protein folding and even creating beer recipes, but individual AI models have limited, specific abilities.

Welcome to AI book reviews, a series of posts that explore the latest literature on artificial intelligence. Is it the capacity to solve complicated mathematical problems at very fast speeds? The power to beat world champions in chess and go? The ability to detect thousands of different objects in images? Those are all manifestations of intelligence. And thanks to advances in artificial intelligence, we have been able to replicate them in computers, to different degrees of success.

Leading augmented reality (AR) technology company Blippar has confirmed its commitment to putting power in the hands of creators with the launch of its WebAR SDK technology. The toolkit will empower AR creators to build their own immersive WebAR experiences from the ground up using HTML and Java coding. WebAR SDK users will have access to full 24/7 support from the Blippar team to help hone their creative campaigns, and, during its beta phase, the platform will be entirely free to use, create, and publish from – with its immersive WebAR experiences able to be accessed and shared across platforms including browsers, Facebook, TikTok, WeChat, and WhatsApp – a further step in ensuring access to AR creativity is available to everyone. Blippar's WebAR SDK includes its most advanced implementation of simultaneous location and mapping (SLAM) to date, boasting 99% accuracy on tracking when locked, with less than a 1% margin of error in angular accuracy. SLAM is a set of computer vision technologies that allow AR developers and creatives to build much more interactive, immersive, and realistic AR experiences by using the device camera to create a mesh of the user's surroundings that includes floors, walls, ceilings, and other objects.

He finds ridiculous that some think "superintelligence itself is impossible." The author is astonishingly wrong in thinking computers can equal and surpass humans in mental performance. He seems unaware of limitations of AI as mathematically argued by Nobel laureate Roger Penrose decades ago in "The Emperor's New Mind." Or Searle's Chinese room argument that convincingly demonstrates computers, and thus AI, will never understand what they do. Or Selmer Bringsjord's Lovelace test that a computer must pass to demonstrate creativity.

The artificial intelligence or "AI" label is slapped on almost anything electronic these days, from "smart" toothbrushes to cancer-curing supercomputers. If you're like me you've become jaded by the AI rubric, realizing we're still a long way from true intelligence in machines. Jeff Hawkins is co-founder of machine intelligence company Numenta and author of a new book "A Thousand Brains: A New Theory of Intelligence" that offers a theory of what's missing in current AI. I don't normally do author interviews, but Jeff has a history of knowing where things are going in tech, including, in my opinion, being a primary developer of the modern smartphone at Handspring and Palm. Hawkins' book takes pains to explain how the neocortex -- the large, convoluted outer layer of the human brain -- uses "reference frames" of perception, thousands of which create our understanding of everything from the shape of a simple object to the nature of a complex concept like mathematics.

On the internet, artificial intelligence is used for everything from speech recognition to spam filtering. The artificial intelligence or "AI" label is slapped on almost anything electronic these days, from "smart" toothbrushes to cancer-curing supercomputers. If you're like me you've become jaded by the AI rubric, realizing we're still a long way from true intelligence in machines. Jeff Hawkins is co-founder of machine intelligence company Numenta and author of a new book "A Thousand Brains: A New Theory of Intelligence" that offers a theory of what's missing in current AI. I don't normally do author interviews, but Jeff has a history of knowing where things are going in tech, including, in my opinion, being a primary developer of the modern smartphone at Handspring and Palm.