Abstract: This brief presents a Booth-based all-digital SRAM compute-in-memory (CIM) macro designed for high-efficiency multiply-and-accumulate (MAC) operations in artificial intelligence applications ...

Previous research has investigated the application of Multimodal Large Language Models (MLLMs) in understanding 3D scenes by interpreting them as videos. These approaches generally depend on ...

We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly generates a series of style vectors which are ...

Abstract: Deterministic deep learning models for precipitation nowcasting often face several limitations, including cumulative error in long-sequence predictions ...

Text to speech (TTS) has attracted a lot of attention recently due to advancements in deep learning. Neural network-based TTS models (such as Tacotron 2, DeepVoice 3 and Transformer TTS) have ...

Automatic segmentation of cerebral infarction on diffusion-weighted imaging (DWI) is typically performed based on a fixed apparent diffusion coefficient (ADC) threshold. Fixed ADC threshold methods ...