GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
Abstract: In this work, an energy-efficient bit-parallel static random-access memory (SRAM)-based computing-in-memory (SRAM-CIM) is proposed for general-purpose in-memory arithmetic operations to ...
Math scores in the US have been so bad for so long that teachers could be forgiven for trying anything to improve them. Unfortunately, many of the strategies they’re using could be making things worse ...
Class is almost over—but instead of zoning out or packing up early, your students are hunched over their work, erasing, recalculating, and debating. The room buzzes with the rich math talk every ...
The threat actor behind the malware-as-a-service (MaaS) framework and loader called CastleLoader has also developed a remote access trojan known as CastleRAT. "Available in both Python and C variants, ...
A robust and user-friendly scientific calculator application built with Python's Tkinter for the graphical interface and NumPy for powerful numerical and matrix operations. This project aims to ...
BETA TESTERS WANTED! VAP is a computational engine that uses both CPU and GPU (if available) to do mass amounts of arithmetic operations. Also comes with its own API! I built a terminal-based ...
Here is the easy math that solves the most significant business problem of them all: how to optimize millions of operational decisions. Deep down, we all know that we should embrace difficulties ...
Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...
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