The field of approximate computing is fundamentally reshaping digital signal processing (DSP) by intentionally trading off some degree of numerical accuracy for significant gains in energy efficiency, ...

Audio signal processing has experienced considerable advancements over recent decades, evolving from basic analogue filtering approaches to sophisticated digital methodologies. A central focus of ...

In intelligent sensing fields such as radar, machine vision, medical imaging, etc., the critical information used for decision making is often sparse. For example, a monosyllabic waveform requires ...

Space missions generate vast amounts of data, and the ability to process this data swiftly and efficiently is paramount to the success of space-based applications. Satellite systems equipped with ...

Automotive audio has evolved from entertainment-only purposes to being an integral part of the driving experience.

Microchip Technology Inc. has expanded its lineup of digital signal controllers (DSCs) with the launch of the dsPIC33AK512MPS512 and dsPIC33AK512MC510 families. These dsPIC33A devices are used in ...

A new technical paper titled “Energy-Accuracy Trade-Offs in Massive MIMO Signal Detection Using SRAM-Based In-Memory Computing” was published by researchers at the University of Illinois at ...

Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...

In today's hyperconnected world, seamless connectivity is no longer a luxury—it's an expectation. Yet despite the transformative impact of cellular and IoT technologies, much of the Earth's surface ...

The staggering computational demands of AI have become impossible to ignore. McKinsey estimates that training an AI model costs $4 million to $200 million per training run. The environmental impact is ...

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