In this research, we propose a mask voxel autoencoder network for pre-training large-scale point clouds, dubbed Voxel-MAE. Our key idea is to transform the point clouds into voxel representations and ...

This paper proposes a complex recurrent variational autoencoder (VAE) framework, for modeling time series data, particularly speech signals. First, to account for the temporal structure of speech ...

Google has entered the world of video editing packages with the launch of “Flow,” an AI editing suite launched at IO. Essentially, Google says that Flow is designed to help creatives explore ...

Google is ramping up its efforts to compete with OpenAI with the debut of Flow, a new video-generating AI model designed for filmmakers. (Disclosure: Ziff Davis, ZDNET's parent company, filed an ...

It’s also launching new video and image AI models. It’s also launching new video and image AI models. Jay Peters is a news editor covering technology, gaming, and more. He joined The Verge in ...

At its Google I/O 2025 developer conference on Tuesday, Google announced Flow, a new AI-powered video tool geared toward filmmaking. The company said it’s using a trio of its AI models — Veo ...

Google has announced the Flow AI moviemaking tool at its I/O conference. This tool lets you create video clips and scenes using your own or generated assets. Flow is only available via Google’s ...

Darren Aronofsky Launches AI-Driven Storytelling Venture, As Google Unveils New Gen AI Video Tool The tech giant released a new video model, Veo 3, which can ad sound effects, dialogue and ambient ...

At I/O today, Google pitched creators on a new app for "AI filmmaking": Flow. Combining all of Google’s recent announcements and developments across AI-powered services, including Veo (video ...

Google's AI Era is officially officially here, and at the center of it is a new generative video model called Flow. At the Google I/O 2025 keynote event on May 20, Google unveiled a new suite of ...

Abstract: We propose Denoising Masked Autoencoder (Deno-MAE), a novel multimodal autoencoder framework for denoising modulation signals during pretraining. DenoMAE extends the concept of masked ...