Abstract: Machine analysis of underwater images is essential to most underwater applications. However, both the limitation of communication bandwidth and underwater degradation bring much difficulty ...

Abstract: Recently, remote sensing image captioning (RSIC) has drawn an increasing attention. In this field, the encoder-decoder-based methods have become the mainstream due to their excellent ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

Breast ultrasound interpretation requires simultaneous lesion segmentation and tissue classification, yet conventional multi-task learning approaches suffer from task interference and rigid ...

A new 3D image projection system from researchers at the UCLA Samueli School of Engineering and the California NanoSystems Institute (CNSI) marks a major step toward overcoming a longstanding problem ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Interfaze, a young YC’s startup, has open-sourced a new speech recognition model. It is called diffusion-gemma-asr-small. The model transcribes audio through a diffusion decoder, not an autoregressive ...

Katha Room hosts more than 250 stories across five languages and has notched over 10,000 downloads on iOS and Android combined, while being bootstrapped. Katha Room addresses the decline of ...

We recommend checking out the Jupyter notebook in notebooks/flextok_inference.ipynb to get started with FlexTok tokenizer and VAE inference. Please see the Model Zoo for all available FlexTok and VAE ...

Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

These local LLMs are changing the game in lots of fun ways.