When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
It doesn’t open up the tapestry of human experience — it reads like it was written by a shut-in with Wi-Fi and a thesaurus.
A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.
The business landscape is shaped and reshaped by the perceptions, stories, and needs of customers. Every interaction, whether ...
Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...
Dozens of research articles from 1999–2024 mention early Babylonians using fingerprint biometrics, despite no evidence ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...
BRUSSELS, Nov 23 (Reuters) - Below is the text of a European counter-proposal to the United States' draft 28-point Ukraine peace plan, seen by Reuters on Sunday. The counter-proposal, drafted by ...
Maturity-onset diabetes of the young (MODY) is an autosomal dominant monogenic form of diabetes. This report describes a case with hepatocyte nuclear factor 1-alpha ( HNF1A )-MODY due to a novel ...
Modern content lives under a microscope. Whether you’re a novelist drafting a Kindle release, a marketing writer polishing a ...