Intelligence comes in many forms. Octopuses are highly intelligent--and completely unlike humans. In case you haven't noticed, artificial intelligence systems have been behaving in increasingly astonishing ways lately. OpenAI's new model DALL-E 2, for instance, can produce captivating original images based on simple text prompts. Models like DALL-E are making it harder to dismiss the notion that AI is capable of creativity. Consider, for instance, DALL-E's imaginative rendition of "a hip-hop cow in a denim jacket recording a hit single in the studio."
Looking at the latest TRDR Pocket video games console, you would never think it hosted one of the most sophisticated AI voice assistants on the market today. The £399 Gameboy-like device, which is the second handheld console developed by British company Go Games, has a boxy, retro appearance, with a shiny aluminium body and a 3.5-inch touchscreen display. It runs Android, giving users access to over 600,000 games and apps from the Google Play Store, including Fortnite and Call of Duty. The original TRDR Pocket, which was released in 2021 in partnership with American rapper and social media influencer Soulja Boy, shipped over 100,000 units. However, the reviews were far from glowing - with some pointing out it was almost identical to the Retroid Pocket, while others complained that the small touch screen made it awkward to type text and play certain games like shooters.
It has since been updated to include the most relevant information available.] Alan Turing, the genius who cracked the Enigma code and helped end World War II, has just introduced a novel concept. It's called the "Turing Test," and it's aimed at answering the fundamental question: Can machines think? Machines -- think for themselves? This research is conducted in the world's most prestigious labs by some of the world's smartest people.
Less than a decade after helping the Allied Forces win World War II by breaking the Nazi encryption machine Enigma, mathematician Alan Turing changed history a second time with a simple question: "Can machines think?" Turing's 1950 paper Computing Machinery and Intelligence and its subsequent Turing Test established the fundamental goal and vision of AI. At its core, AI is the branch of computer science that aims to answer Turing's question in the affirmative. It is the endeavor to replicate or simulate human intelligence in machines. The expansive goal of AI has given rise to many questions and debates.
Recently, a former Google researcher claimed that some algorithms used by the company reached sentient capabilities well above their initial design. Phillipa Louvois rules that Data, the Enterprise's android, is not the property of Starfleet, arguing: "We have all been dancing around the basic issue: does Data have a soul? I don't know that he has. I don't know that I have. But I have got to give him the freedom to explore that question himself."
If you ran into a robot in the street, there are a number of crucial giveaways that would help you pick it out from a human crowd -- silicon skin or unblinking eyes, to name a few. Yet, when people cannot see the robots they interact with, this distinction between what is and isn't human becomes much hazier. That's the premise of the Turing test, which helps determine whether or not a robot or A.I. can pass as human. In a new paper, a team of researchers has implemented a variation of this test that looks at behavior variability found in humans and animals to see whether or not mimicking this trait can make robots seem more alive. By introducing variability in reaction time to robots' otherwise rigidly programmed behavior, the team of researchers found that humans can be fooled into believing a robot is flesh and blood.
AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What are issues with the philosophy of #artificialintelligence? We witness how a new kind of real intelligence emerges, as Deus ex Machina AI vs. Homo Sapiens Sapiens. We all are missing a critical point with #AI that it is machine philosophy per se, as far as philosophy is the study of the fundamental nature of knowledge, reality, and existence. Real AI is all about the modeling and simulating reality/existence/world, its knowledge of entities and relationships, as of facts and data and fundamental causes, phenomena, laws and rules, and patterns, the sum of universal knowledge. It is all started from the fundamental conception initiated by Alan Turing's proposal in his paper "Computing Machinery and Intelligence", in which the question "Can machines think?" was wrongly replaced with the question "Can machines do what we (as thinking entities) can do?". As a result, we got two polar types of AI, Real & True AI and Human-Like AI.
Starting today, the Privacy Center will stop using the terms "artificial intelligence," "AI," and "machine learning" in our work to expose and mitigate the harms of digital technologies in the lives of individuals and communities. I will try to explain what is at stake for us in this decision with reference to Alan Turing's foundational paper, Computing Machinery and Intelligence, which is of course most famous for its description of what the paper itself calls "the imitation game," but what has come to be known popularly as "the Turing test." The imitation game involves two people (one of whom takes the role of the "interrogator") and a computer. The object is for the interrogator, physically separated from the other player and the computer, to try to discern through a series of questions which of the responses to those questions is produced by the other human and which by the computer. "…in about fifty years' time it will be possible to programme computers, with a storage capacity of about 10⁹, to make them play the imitation game so well that an average interrogator will not have more than 70 percent, chance of making the right identification after five minutes of questioning."