Advanced infrared mirrors enhance climate and biofuel research via precision trace gas sensing.
An international team of researchers from the United States, Austria, and Switzerland has demonstrated the first true supermirrors in the mid-infrared spectral region. These mirrors are key for many applications, such as optical spectroscopy for environmental sensing, as well as laser cutting and welding for manufacturing.
Achieving Near-Perfect Reflectivity
Harvard’s breakthrough in quantum computing features a new logical quantum processor with 48 logical qubits, enabling large-scale algorithm execution on an error-corrected system. This development, led by Mikhail Lukin, represents a major advance towards practical, fault-tolerant quantum computers.
In quantum computing, a quantum bit or “qubit” is one unit of information, just like a binary bit in classical computing. For more than two decades, physicists and engineers have shown the world that quantum computing is, in principle, possible by manipulating quantum particles – be they atoms, ions or photons – to create physical qubits.
But successfully exploiting the weirdness of quantum mechanics for computation is more complicated than simply amassing a large-enough number of physical qubits, which are inherently unstable and prone to collapse out of their quantum states.
In a new study published in The Journal of Finance and Data Science, a researcher from the International School of Business at HAN University of Applied Sciences in the Netherlands introduced the topological tail dependence theory—a new methodology for predicting stock market volatility in times of turbulence.
“The research bridges the gap between the abstract field of topology and the practical world of finance. What’s truly exciting is that this merger has provided us with a powerful tool to better understand and predict stock market behavior during turbulent times,” said Hugo Gobato Souto, sole author of the study.
The release of Transformers has marked a significant advancement in the field of Artificial Intelligence (AI) and neural network topologies. Understanding the workings of these complex neural network architectures requires an understanding of transformers. What distinguishes transformers from conventional architectures is the concept of self-attention, which describes a transformer model’s capacity to focus on distinct segments of the input sequence during prediction. Self-attention greatly enhances the performance of transformers in real-world applications, including computer vision and Natural Language Processing (NLP).
In a recent study, researchers have provided a mathematical model that can be used to perceive Transformers as particle systems in interaction. The mathematical framework offers a methodical way to analyze Transformers’ internal operations. In an interacting particle system, the behavior of the individual particles influences that of the other parts, resulting in a complex network of interconnected systems.
The study explores the finding that Transformers can be thought of as flow maps on the space of probability measures. In this sense, transformers generate a mean-field interacting particle system in which every particle, called a token, follows the vector field flow defined by the empirical measure of all particles. The continuity equation governs the evolution of the empirical measure, and the long-term behavior of this system, which is typified by particle clustering, becomes an object of study.
A student project has revealed yet another power of artificial intelligence — it can be extremely good at geolocating where photos are taken.
Three Stanford graduate students built an AI tool to find a location by looking at pictures. Civil rights advocates warn more advanced versions will further erode online privacy.
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
Using artificial intelligence, MIT researchers discovered a class of compounds that can kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes more than 10,000 deaths in the U.S. each year.
As Chinese social media platforms move toward requiring users to disclose more information about their real identities, will we lose what made us want to be online in the first place?
Have you ever wondered what your life would be like without a smartphone?
Psychological research reveals a new phobia that is plaguing the population, and how to tell if you have it.
Explore the potential impact of storytelling, immersive gameplay, and the evolving role of game developers in this technological revolution.
Dive into a new frontier of gaming, where AI’s integration transforms NPCs into dynamic, adaptable characters within video games.
Parents are crafting more relatable and personalized bedtime stories for their young kids with the help of customized AI chatbots, but are AI bedtime story tools really worth the hype?
AI has learned the art of creating relatable and personalized bedtime stories. Here is how you and your kids can benefit from it.
