Abstract: We propose a new algorithm to identify a Wiener-Hammerstein system. This model represents a communication channel where two linear filters are separated by a non-linear function modelling an ...

Abstract: Semantic communication for classification as the intended task at the receiver involves encoding the message signal to maximize the classifier’s performance in terms of accuracy at the ...

For a long time, marketing followed a simple logic: attract, convert, nurture, and sell. A linear, predictable, and comfortable path. The classic funnel. The premise is that a large number of people ...

Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed over the weekend could spell disaster, but the trees will likely be fine.

In distributed Large Language Model (LLM) training, hybrid parallelism (e.g., combining tensor, pipeline, and expert parallelism) is key to improving efficiency. However, when transitioning between ...

1 Department of Communication, Faculty of Modern Languages and Communication, University of Putra Malaysia, Selangor, Malaysia. 2 Department of Foreign Languages, Faculty of Modern Languages and ...

On National Dolphin Day, Google announced the development of a new artificial intelligence model aimed at deciphering dolphin communication. Dubbed DolphinGemma, it was developed in collaboration with ...

Today, on National Dolphin Day, researchers from Google LLC, Georgia Tech and the Wild Dolphin Project announced DolphinGemma, an artificial foundation model trained on the structure of dolphin ...

Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some have raised the concern that such ...

LLM inference is highly resource-intensive, requiring substantial memory and computational power. To address this, various model parallelism strategies distribute workloads across multiple GPUs, ...