Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, and the scientists making these models. The human ...
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Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever
Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...
FedEx Flight 1170 crashed during landing after a series of critical errors. This breakdown explains how small mistakes combined into a serious accident. Republican senator steps up complaints about ...
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.
Every year they make the same rookie mistakes. Instead of fully thawing out their turkey before frying it, they immersed it Wednesday morning frozen solid in a stainless steel pot. Neither did they ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. For regression analysis [David] includes statsmodels and Pingouin. If you’re not familiar with ...
SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
SAN FRANCISCO (Reuters) -IBM said on Friday it can run a key quantum computing error correction algorithm on commonly available chips from Advanced Micro Devices, a ...
KANSAS CITY, Mo. -- On a night when the Detroit Lions needed everything to go right, they fell victim uncharacteristic mistakes and missed opportunities. Dan Campbell struggled to articulate the ...
Abstract: Sign language recognition is an essential task in closing the communication gap between hearing-impaired people and the rest of the population. This paper suggests a better machine learning ...
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