Blog

Archive for the ‘information science’ category: Page 76

Jun 3, 2023

I don’t believe in free will. This is why

Posted by in categories: cosmology, information science, neuroscience, physics

If I were a brilliant physicist, I would have written this.


Learn more about differential equations (and many other topics in maths and science) on Brilliant using the link https://brilliant.org/sabine. You can get started for free, and the first 200 will get 20% off the annual premium subscription.

Continue reading “I don’t believe in free will. This is why” »

Jun 3, 2023

Ultra-Processed Foods: AI’s New Contribution to Nutrition Science

Posted by in categories: food, health, information science, robotics/AI, science

Summary: Researchers developed a machine learning algorithm, FoodProX, capable of predicting the degree of processing in food products.

The tool scores foods on a scale from zero (minimally or unprocessed) to 100 (highly ultra-processed). FoodProX bridges gaps in existing nutrient databases, providing higher resolution analysis of processed foods.

This development is a significant advancement for researchers examining the health impacts of processed foods.

Jun 3, 2023

AI-Descartes: A Scientific Renaissance in the World of Artificial Intelligence

Posted by in categories: information science, robotics/AI

The system demonstrated its chops on Kepler’s third law of planetary motion, Einstein’s relativistic time-dilation law, and Langmuir’s equation of gas adsorption.

AI-Descartes, a new AI scientist, has successfully reproduced Nobel Prize-winning work using logical reasoning and symbolic regression to find accurate equations. The system is effective with real-world data and small datasets, with future goals including automating the construction of background theories.

In 1918, the American chemist Irving Langmuir published a paper examining the behavior of gas molecules sticking to a solid surface. Guided by the results of careful experiments, as well as his theory that solids offer discrete sites for the gas molecules to fill, he worked out a series of equations that describe how much gas will stick, given the pressure.

Jun 2, 2023

No one has done AR or VR well. Can Apple?

Posted by in categories: augmented reality, biotech/medical, information science, virtual reality

On Monday, Apple is more than likely going to reveal its long-awaited augmented or mixed reality Reality Pro headset during the keynote of its annual WWDC developer conference in California. It’s an announcement that has been tipped or teased for years now, and reporting on the topic has suggested that at various times, the project has been subject to delays, internal skepticism and debate, technical challenges and more. Leaving anything within Apple’s sphere of influence aside, the world’s overall attitude toward AR and VR has shifted considerably — from optimism, to skepticism.

Part of that trajectory is just the natural progression of any major tech hype cycle, and you could easily argue that the time to make the most significant impact in any such cycle is after the spike of undue optimism and energy has subsided. But in the case of AR and VR, we’ve actually already seen some of the tech giants with the deepest pockets take their best shots and come up wanting — not for lack of trying, but because of limitations in terms of what’s possible even at the bleeding edge of available tech. Some of those limits might actually be endemic to AR and VR, too, because of variances in the human side of the equation required to make mixed reality magic happen.

The virtual elephant in the room is, of course, Meta. The name itself pretty much sums up the situation: Facebook founder Mark Zuckerberg read a bad book and decided that VR was the inevitable end state of human endeavor — the mobile moment he essentially missed out on, but even bigger and better. Zuckerberg grew enamored by his delusion, first acquiring crowdfunded VR darling Oculus, then eventually commandeering the sobriquet for a shared virtual universe from the dystopian predictions of a better book and renaming all of Facebook after it.

Jun 1, 2023

Research team designs brain-inspired device for optoelectronic computing

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

Perfect recall, computational wizardry and rapier wit: That’s the brain we all want, but how does one design such a brain? The real thing is comprised of ~80 billion neurons that coordinate with one another through tens of thousands of connections in the form of synapses. The human brain has no centralized processor, the way a standard laptop does.

Instead, many calculations are run in parallel, and outcomes are compared. While the operating principles of the human brain are not fully understood, existing mathematical algorithms can be used to rework deep learning principles into systems more like a human brain would. This brain-inspired computing paradigm—spiking (SNN)—provides a computing architecture well-aligned with the potential advantages of systems using both optical and .

In SNNs, information is processed in the form of spikes or action potentials, which are the that occur in real neurons when they fire. One of their key features is that they use asynchronous processing, meaning that spikes are processed as they occur in time, rather than being processed in a batch like in traditional neural networks. This allows SNNs to react quickly to changes in their inputs, and to perform certain types of computations more efficiently than traditional neural networks.

Jun 1, 2023

Dr. Elica Kyoseva, Ph.D. — Quantum for Bio Program Director — Wellcome Leap

Posted by in categories: computing, engineering, finance, health, information science, quantum physics

Is the Quantum for Bio Program Director, at Wellcome Leap (https://wellcomeleap.org/our-team/elicakyoseva/), a $40M +$10M program focused on identifying, developing, and demonstrating biology and healthcare applications that will benefit from the quantum computers expected to emerge in the next 3–5 years.

Wellcome Leap was established with $300 million in initial funding from the Wellcome Trust, the UK charitable foundation, to accelerate discovery and innovation for the benefit of human health, focusing on build bold, unconventional programs and fund them at scale—specifically programs that target global human health challenges, with the goal of achieving breakthrough scientific and technological solutions.

Continue reading “Dr. Elica Kyoseva, Ph.D. — Quantum for Bio Program Director — Wellcome Leap” »

Jun 1, 2023

Vectara aims to ground generative AI conversational search without hallucinations

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

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

Vectara is continuing to grow as an AI powered conversational search platform with new capabilities announced today that aim to improve generative AI for business data.

The Santa Clara, Calif.- based startup emerged from stealth in Oct. 2022, led by the former CTO and founder of big data vendor Cloudera. Vectara originally branded its platform as a neural search-as-a-service technology. This approach combines AI-based large language models (LLMs), natural language processing (NLP), data integration pipelines and vector techniques to create a neural network that can be optimized for search.

May 30, 2023

Software offers new way to listen for signals from the stars

Posted by in categories: alien life, information science

The Breakthrough Listen Investigation for Periodic Spectral Signals (BLIPSS), led by Akshay Suresh, Cornell doctoral candidate in astronomy, is pioneering a search for periodic signals emanating from the core of our galaxy, the Milky Way. The research aims to detect repetitive patterns, a way to search for extraterrestrial intelligence (SETI) within our cosmic neighborhood.

The researchers developed software based on a Fast Folding Algorithm (FFA), an efficient search method offering enhanced sensitivity to periodic sequences of narrow pulses. Their paper, “A 4–8 GHz Galactic Center Search for Periodic Technosignatures,” was published May 30 in The Astronomical Journal.

Pulsars—rapidly rotating that sweep beams of radio energy across the Earth—are natural astrophysical objects that generate periodic signals but humans also use directed periodic transmissions for a variety of applications, including radar. Such signals would be a good way to get someone’s attention across , standing out from the background of non-periodic signals, as well as using much less energy than a transmitter that is broadcasting continuously.

May 27, 2023

A software package to ease the use of neural radiance fields in robotics research

Posted by in categories: information science, robotics/AI

Neural radiance fields (NeRFs) are advanced machine learning techniques that can generate three-dimensional (3D) representations of objects or environments from two-dimensional (2D) images. As these techniques can model complex real-world environments realistically and in detail, they could greatly support robotics research.

Most existing datasets and platforms for training NeRFs, however, are designed to be used offline, as they require the completion of a pose optimization step that significantly delays the creation of photo realistic representations. This has so far prevented most roboticists from using these techniques to test their algorithms on physical robots in real-time.

Continue reading “A software package to ease the use of neural radiance fields in robotics research” »

May 24, 2023

Particle physicists get AI help with beam dynamics

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

Researchers in the US have developed a machine learning algorithm that accurately reconstructs the s.

Page 76 of 322First7374757677787980Last