Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Google's real-time translator looks ahead and anticipates what is being said, explains Niklas Blum, Director Product ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...

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Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

Abstract: Predictive Process Monitoring (PPM) in Process Mining (PM) uses predictive analytics to forecast business process progression. A key challenge is suffix prediction, forecasting future event ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Abstract: In this paper, we introduce a conditional transformer-based U-net architecture for speech emotion recognition (SER). The proposed architecture consists of convolutional transformer ...