A research team at POSTECH has developed a novel multidimensional sampling theory to overcome the limitations of flat optics. Their study not only identifies the constraints of conventional sampling ...
An international team of engineers and physicists have found a way to use quantum light to improve the performance of cutting ...
A sensor startup is revisiting MEMS manufacturing process with a new fabrication IP to make it more reliable and scalable.
SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company has announced immediate ...
This important study provides new evidence on the role of norepinephrine (NE) release in the hippocampus in response to environmental transitions (event boundaries), providing a potential link between ...
The impact of his work is visible. His work in reducing signal processing latency to under 50ms leads to continuous biosignal processing with minimal lag, which is critical for emergency medical ...
Sensors whose outputs are to be processed by the ADC may have very high sensitivity. Designers must have a good understanding ...
This page lists down a selection of publications made as part of projects undertaken by the Digital Signal Processing Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological ...
Signal Quality Can lose quality over long distances or repeated use. Stays consistent, even over long distances or multiple copies. Storage Stored in physical formats like tape or vinyl. Stored ...
In this letter, we propose Sampling-based Pruned Knowledge Distillation (SP-KD) for training lightweight RNN-T models. In contrast to the conventional knowledge distillation techniques, the proposed ...
MONDAY, Jan. 13, 2025 (HealthDay News) -- A new database, GroceryDB, can show the degree of processing of more than 50,000 food items sold at Walmart, Target, and Whole Foods, according to a study ...
However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...
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