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Archive for the ‘information science’ category: Page 53

Feb 4, 2023

Google tries to reassure investors on AI progress as ChatGPT breathes down its neck

Posted by in categories: business, information science, robotics/AI

Google worked to reassure investors and analysts on Thursday during its quarterly earnings call that it’s still a leader in developing AI. The company’s Q4 2022 results were highly anticipated as investors and the tech industry awaited Google’s response to the popularity of OpenAI’s ChatGPT, which has the potential to threaten its core business.

During the call, Google CEO Sundar Pichai talked about the company’s plans to make AI-based large language models (LLMs) like LaMDA available in the coming weeks and months. Pichai said users will soon be able to use large language models as a companion to search. An LLM, like ChatGPT, is a deep learning algorithm that can recognize, summarize and generate text and other content based on knowledge from enormous amounts of text data. Pichai said the models that users will soon be able to use are particularly good for composing, constructing and summarizing.

“Now that we can integrate more direct LLM-type experiences in Search, I think it will help us expand and serve new types of use cases, generative use cases,” Pichai said. “And so, I think I see this as a chance to rethink and reimagine and drive Search to solve more use cases for our users as well. It’s early days, but you will see us be bold, put things out, get feedback and iterate and make things better.”

Feb 3, 2023

Will an AI Be the First to Discover Alien Life?

Posted by in categories: alien life, information science, robotics/AI

SETI, the search for extraterrestrial intelligence, is deploying machine-learning algorithms that filter out Earthly interference and spot signals humans might miss.

Feb 3, 2023

The Schrödinger Equation in its Various Forms

Posted by in categories: information science, quantum physics

Perhaps no equation in quantum physics is as ubiquitous as the Schrödinger equation. In this article we will explain and relate these various forms.

Feb 3, 2023

The World Will Be REVOLUTIONIZED by These 18 Rapidly Developing Technologies

Posted by in categories: biotech/medical, education, Elon Musk, information science, internet, law, robotics/AI

Welcome Back To Future Fuse Technology today is evolving at a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change. However, it is not only technology trends and emerging technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2023–24 will constantly be learning, unlearning, and relearning (out of necessity if not desire).Artificial intelligence will become more prevalent in 2023 with natural language processing and machine learning advancement. Artificial intelligence can better understand us and perform more complex tasks using this technology. It is estimated that 5G will revolutionize the way we live and work in the future. From the evolution of Artificial Intelligence (AI), the internet of things (IoT), and 5G network to cloud computing, big data, and analytics, technology has the capacity or potential to transform everything, revolutionizing the future of the world. Already, we see the rapid roll-out of autonomous vehicles (self-driving cars) currently in trial phases for all car companies, and Elon Musk’s Tesla is improving the technology by making it more secure and redefined. Forward-thinking and innovative companies seem not to miss any chance to bring breakthrough innovation to the world…in this video, we are looking into The World Will Be REVOLUTIONIZED by These 18 Rapidly Developing Technologies.

TAGS: #ai #technologygyan #futureTechnology.

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Feb 3, 2023

Everything — Yes, Everything — is a SPRING! (Pretty much)

Posted by in categories: information science, mathematics, neuroscience, particle physics, quantum physics

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Science Asylum video on Schrodinger Equation:

Continue reading “Everything — Yes, Everything — is a SPRING! (Pretty much)” »

Feb 3, 2023

Neil Turok: Physics is in Crisis

Posted by in categories: alien life, information science, mathematics, quantum physics

Renowned physicist Neil Turok, Holder of the Higgs Chair of Theoretical Physics at the University of Edinburgh, joins me to discuss the state of science and the universe. is Physics in trouble? What hope is there to return to more productive and Simple theories? What is Peter Higgs up to?

Neil Turok has been director emeritus of the Perimeter Institute for Theoretical Physics since 2019. He specializes in mathematical physics and early-universe physics, including the cosmological constant and a cyclic model for the universe.

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Feb 1, 2023

Snap hints at future AR glasses powered by generative AI

Posted by in categories: augmented reality, drones, information science, robotics/AI

Social media company and Snapchat maker Snap has for years defined itself as a “camera company,” despite its failures to turn its photo-and-video recording glasses known as Spectacles into a mass-market product and, more recently, its decision to kill off its camera-equipped drone. But that hasn’t stopped the company from envisioning a future where AR glasses are a commonly used device, and one, as the company revealed on Tuesday’s fourth-quarter earnings call, that will eventually be powered by AI technology.

Investors wanted to get a sense of how Snap was thinking about the latest developments in AI — particularly in buzzy areas like generative A.I. which has benefitted from advances in algorithms, language models, and the increased processing power available to run the necessary calculations. One pointed to the AI image generator Midjourney’s bot for Discord, as an example of how AI could lead to increased user engagement within an app.

Snap CEO Evan Spiegel agreed that, in the near term, there were a lot of opportunities to use generative AI to make Snap’s camera more powerful. However, he noted that further down the road, AI would be critical to the growth of augmented reality, including AR glasses.

Jan 31, 2023

AI algorithm pinpoints 8 radio signals that may have come from aliens

Posted by in categories: alien life, information science, robotics/AI

Is this the breakthrough the world has been waiting for from the Search for Extraterrestrial Intelligence Institute?

A scientist, Peter Ma, has applied machine learning and artificial intelligence to data collected by the Search for Extraterrestrial Intelligence (SETI) Institute, a press statement reveals.

Algorithm finds 8 promising signals that could be of alien origin.

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Jan 30, 2023

AI Can Now Make Music From Text Descriptions

Posted by in categories: information science, law, media & arts, robotics/AI

As neural networks become more powerful, algorithms have become capable of turning ordinary text into images, animations and even short videos. These algorithms have generated significant controversy. An AI-generated image recently won first prize in an annual art competition while the Getty Images stock photo library is currently taking legal action against the developers of an AI art algorithm that it believes was unlawfully trained using Getty’s images.

So the music equivalent of these systems shouldn’t come as much surprise. And yet the implications are extraordinary.

A group of researchers at Google have unveiled an AI system capable of turning ordinary text descriptions into rich, varied and relevant music. The company has showcased these capabilities using descriptions of famous artworks to generate music.

Jan 30, 2023

A computer scientist explains why even AI has computational limits

Posted by in categories: information science, mathematics, physics, robotics/AI

There are two aspects to a computer’s power: the number of operations its hardware can execute per second and the efficiency of the algorithms it runs. The hardware speed is limited by the laws of physics. Algorithms—basically sets of instructions —are written by humans and translated into a sequence of operations that computer hardware can execute. Even if a computer’s speed could reach the physical limit, computational hurdles remain due to the limits of algorithms.

These hurdles include problems that are impossible for computers to solve and problems that are theoretically solvable but in practice are beyond the capabilities of even the most powerful versions of today’s computers imaginable. Mathematicians and computer scientists attempt to determine whether a problem is solvable by trying them out on an imaginary machine.

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