“Breaking first is the bottom rung of the career ladder.”
Category: robotics/AI – Page 13
A new tool has been developed to better assess the performance of AI models. It was developed by bioinformaticians at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS).
“DataSAIL” automatically sorts training and test data so that they differ as much as possible from each other, allowing for the evaluation of whether AI models work reliably with different data. The researchers have now presented their approach in the journal Nature Communications.
Machine learning models are trained with huge amounts of data and must be tested before practical use. For this, the data must first be divided into a larger training set and a smaller test set—the former is used for the model to learn, and the latter is used to check its reliability.
Kirigami is a traditional Japanese art form that entails cutting and folding paper to produce complex three-dimensional (3D) structures or objects. Over the past decades, this creative practice has also been applied in the context of physics, engineering, and materials science research to create new materials, devices and even robotic systems.
Researchers at Sichuan University and McGill University recently devised a new approach for the inverse engineering of kirigami, which does not rely on advanced computational tools and numerical algorithms. This new method, outlined in a paper published in Physical Review Letters, could simplify the design of intricate kirigami for a wide range of real-world applications.
“This work is a natural extension of our previous work on kirigami,” Damiano Pasini, senior corresponding author of the paper, told Phys.org.
Pentagon increases budget for Palantir’s AI software in major expansion of Project Maven
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Fr. Michael Baggot joins the podcast to provide a Catholic perspective on transhumanism and superintelligence. We also discuss the meta-narratives, the value of cultural diversity in attitudes toward technology, and how Christian communities deal with advanced AI.
You can learn more about Michael’s work here:
https://catholic.tech/academics/faculty/michael-baggot.
Timestamps:
00:00 Meta-narratives and transhumanism.
15:28 Advanced AI and religious communities.
27:22 Superintelligence.
38:31 Countercultures and technology.
52:38 Christian perspectives and tradition.
01:05:20 God-like artificial intelligence.
01:13:15 A positive vision for AI.
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Wanna watch more Free audiobook? Click here: • The Future is Matrix: AI, Virtual Worlds,… ✅
The Physics of Space Travel: Exploring Faster-Than-Light Travel is an exhilarating journey into the world of cutting-edge science and theoretical physics. Imagine a future where interstellar travel is not just a dream, but a reality. In this comprehensive and accessible guide, you’ll dive deep into the science behind faster-than-light travel, exploring concepts like Einstein’s theory of relativity, wormholes, warp drives, and quantum tunneling.
Whether you’re a space enthusiast, a science fiction fan, or simply curious about the future of space exploration, this book breaks down complex ideas into engaging, easy-to-understand chapters. Discover the latest theories in space travel technology, the role of dark matter and dark energy, and the tantalizing possibility of time travel. Along the way, we’ll explore the search for advanced extraterrestrial civilizations and how their discoveries could guide our own journey to the stars.
With vivid explanations, real scientific insights, and thought-provoking possibilities, The Physics of Space Travel is your essential guide to understanding how humanity might one day break the light-speed barrier and unlock the mysteries of the cosmos.
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where the primary developer of the method, mathematician Stanisław Ulam, was inspired by his uncle’s gambling habits.
Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution. They can also be used to model phenomena with significant uncertainty in inputs, such as calculating the risk of a nuclear power plant failure. Monte Carlo methods are often implemented using computer simulations, and they can provide approximate solutions to problems that are otherwise intractable or too complex to analyze mathematically.
Monte Carlo methods are widely used in various fields of science, engineering, and mathematics, such as physics, chemistry, biology, statistics, artificial intelligence, finance, and cryptography. They have also been applied to social sciences, such as sociology, psychology, and political science. Monte Carlo methods have been recognized as one of the most important and influential ideas of the 20th century, and they have enabled many scientific and technological breakthroughs.
Would you swallow a micro-robot? In a gutsy demo, physician Vivek Kumbhari navigates Pillbot, a wireless, disposable robot swallowed onstage by engineer Alex Luebke, modeling how this technology can swiftly provide direct visualization of internal organs. Learn more about how micro-robots could move us past the age of invasive endoscopies and open up doors to more comfortable, affordable medical imaging. (This talk contains medical imagery.)
Angus Fletcher: AI can’t match our storythinking or primal intelligence—and that’s what gives the human mind its enduring power.