Abstract: Time-domain macromodeling is a powerful technique for generating compact models of linear time-invariant (LTI) circuits. A common approach involves computing the port impulse response at the ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
Long before social media feeds or targeted ads, my mother used to say that life tends to show you the thing you're looking for. Or the thing you're afraid of. Or the thing you keep insisting you don't ...
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
A novel algorithm based on fractional Fourier circular convolution theorem is proposed to deal with the fractional linear convolution, which is in accordance with the hidden periodicity of the ...
ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
How do the algorithms that populate our social media feeds actually work? In a piece for Time Magazine excerpted from his recent book Robin Hood Math, Noah Giansiracusa sheds light on the algorithms ...
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