The Mathematics Search Engine
Mathematics News & Resources
4Mathematics is a specialist search engine for Mathematics. Discover the latest math news and mathematical content. Part of the 4SEARCH network of topic specific search engines.
Latest News & Web Pages
G Networks Get A Data Boost: New Technique Captures 100times More Information
35+ min ago (740+ words) Researchers have developed a new channel sounding framework utilising parabolic frequency sampling and a refined algorithm to capture significantly larger wireless channel datasets up to 100times faster than conventional methods, facilitating the development of artificial intelligence for future 6G networks. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-19-36.jpg Researchers…...
How Analysts Translate Messy Data, DAX, and Dashboards into Action Using Power BI
44+ min ago (677+ words) Power BI has become an indispensable tool for data analysis, and analysts are using it to transform raw, unstructured data into meaningful insights that drive actionable business decisions. FROM MESSY TO CLEAN 1. Connecting to Your Data Sources. The journey of…...
Machine Learning Speeds Up Molecular Process Mapping For Drug Discovery And Materials Science
49+ min ago (303+ words) The network parameters are refined by minimizing a negative log-likelihood loss function, ensuring accurate prediction of shooting point outcomes and maximizing the likelihood of observed trajectories. This self-consistent loop of sampling and training allows AIMMD to adaptively refine its understanding…...
What Existed Before Transformers and Why Responses Are Generated Step by Step
58+ min ago (415+ words) Large Language Models (LLMs) like ChatGPT feel almost magical'but under the hood, they are built on clear mathematical and architectural principles. In this article, we'll break down how LLMs actually work, why models like ChatGPT weren't possible before Transformers, and…...
AI Predicts Quantum System Behaviour For Faster, More Reliable Control
1+ hour, 44+ min ago (1110+ words) Dynamical decoupling has been widely utilized in various experimental platforms, such as superconducting quantum circuits, Rydberg atoms, and trapped ions. The realization of high-fidelity control depends on the design of the pulse profile, for example, optimal radio frequency pulse sequences…...
Building a “Swiss Army Knife” Data Dashboard — A Practical Experiment in Useful Analytics
1+ hour, 48+ min ago (156+ words) I've been working on a Kaggle notebook designed as a multi-purpose analytical dashboard " something closer to a Swiss Army knife than a single-use analysis. Instead of focusing on one dataset or one model, the goal was different: While developing it,…...
Building a Jedi-Style Hand Gesture Interface with TensorFlow.js: Control Your Browser Without Touching Anything
2+ hour, 13+ min ago (332+ words) Imagine scrolling through a webpage by simply raising two fingers, dragging elements with a pinch, or resizing boxes with two hands like Tony Stark in his lab. No mouse. No keyboard. Just you and the camera. In this tutorial, I'll…...
New Probability Theory Bridges Quantum Computing And Classical Randomness
2+ hour, 24+ min ago (784+ words) Researchers have demonstrated that applying algebraic principles, traditionally used in physics, to probability can better model uncertain events, particularly those exhibiting non-commutative behaviour relevant to modern computational science. https://quantumzeitgeist.com/wp-content/uploads/01-6.jpg Researchers are increasingly recognising the limitations of Kolmogorov's classical probability framework…...
AI Learns Complex Sequences By Mastering Building Blocks Of Computation
2+ hour, 34+ min ago (810+ words) The sequential group composition task requires a network to predict the cumulative product of a sequence of elements drawn from a finite group, each element encoded as a real vector. Researchers proved that two-layer networks learn this task by progressively…...
AI Health Models Leak Patient Data Despite Privacy Safeguards, Research Reveals
3+ hour, 8+ min ago (393+ words) Furthermore, standard practices such as cross-validation unexpectedly exacerbate these vulnerabilities, enabling accurate identification of training data even through public web interfaces. To counter these risks, the team proposes a novel defense rooted in tensor network models, specifically tensor trains, building…...