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I automated my entire read-it-later workflow with a local LLM so every article I save gets summarized overnight
No more fighting an endless article backlog.
Apple's autocorrect on iPhone and iPad always aims to help when you're typing a message, but it's by no means perfect, and some of the replacements it continually spews out can be frustrating.
Posts from this topic will be added to your daily email digest and your homepage feed. is an investigations editor and feature writer covering technology and the people who make, use, and are affected ...
The NY City Bar’s Ethics Committee warns that AI tools make it easy for lawyers and clients to record, transcribe, and summarize calls, raising ethical issues around confidentiality, privilege, and ...
US Immigration and Customs Enforcement is asking companies to provide information about “commercial Big Data and Ad Tech” products that would “directly support investigations activities,” according to ...
Spammers and malicious actors inundate us with a steady stream of text messages—often purporting to be from legitimate institutions or companies. Stanching this flow isn’t easy. Just as the unwanted ...
Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...
Elon Musk has confirmed that Tesla’s Full Self-Driving (Supervised) system now allows drivers to text and drive, though he added a caveat that it depends on the “context of surrounding traffic.” This ...
A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...
Abstract: Automatic text summarization has been a prominent research topic for over a decade, aiming to distill concise summaries from extensive textual documents. This study introduces a novel ...
Abstract: This paper studies how modern text summarization methods can be used for the Sinhala language. It uses techniques like Fuzzy Clustering, Text Ranking, and Term Frequency-Inverse Document ...
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