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AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
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Even the best AI models can’t reliably do simple math
A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes ...
Numberphile revived an ancient multiplication trick—halves and doubles—also called Egyptian or Russian math, where you repeatedly halve one number and double the other. After crossing out rows with ...
19 is only 1 away from 20, so you prefer to start by multiplying 20 times 5, which equals 100. Then we need to take away a squadron of 5, because there are actually only 19 squadrons, not 20. 100 take ...
Finding the best Android smartphone in India can be a daunting task with the sheer number of options available. From flagship powerhouses to feature-packed mid-rangers and budget-friendly gems, ...
Calculating prodigies are individuals who are exceptional at quickly and accurately solving complex mental calculations. With positron emission tomography (PET), we investigated the neural bases of ...
convert the numbers from standard form into decimal form or ordinary numbers complete the calculation convert the answer back into standard form Calculate \((4 \times 10^9) \times (7 \times 10^{-3})\) ...
Joey Fundora has 17+ years of experience as an independent stock trader, specializing in discretionary swing trading through technical analysis. Timothy Li is a consultant, accountant, and finance ...
Abstract: In current reconfigurable intelligent surface (RIS)-aided systems, adding a new pair of transceivers often requires the RIS phases to be entirely re-calculated for all elements, inducing ...
Abstract: Recent advances in diffusion models (DMs)—such as few-step denoising and multi-modal conditioning—have significantly improved computational efficiency and functional flexibility, but they ...
The Long Multiplication Benchmark evaluates Large Language Models (LLMs) on their ability to handle and utilize long contexts to solve multiplication problems. Despite long multiplication requiring ...
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