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Scientists asked ChatGPT to solve a math problem from more than 2,000 years ago — how it answered it surprised them
We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI.
A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
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When mathematics meets aesthetics: Tessellations as a precise tool for solving complex problems
In a recent study, mathematicians from Freie Universität Berlin have demonstrated that planar tiling, or tessellation, is ...
Last year, we celebrated 50 years since the first papers on fluorescence correlation spectroscopy (FCS) were published. It ...
Mouse acceleration, called “Enhance Pointer Acceleration” in Windows 11, dynamically adjusts the cursor movement based on the speed of the physical mouse. The faster you move the mouse, the further ...
In a contest designed to test the limits of the world’s best student programmers, an advanced version of Gemini 2.5 Deep Think did what no university team could, by cracking a problem that remained ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Liberal Leader John Hogan was in Clarenville Friday talking Crown lands, and put forward a commitment to solve long-winded and complex problems if his government were to be re-elected. As the CBC’s ...
With over a decade of experience at Which?, Tom covers everything from tech advice to money-saving tips and highlights the best deals during major sales events. Official support for Windows 10 ends on ...
Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...
Use these skills and tools to make the most of it. by Antonio Nieto-Rodriguez Quietly but powerfully, projects have displaced operations as the economic engine of our ...
Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
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