Browsing: multimodal AI

The new image-generation model introduces multi-round editing and high-resolution output to support professional design workflows within Tencent Cloud.

The new multimodal model from Alibaba Cloud enables direct processing of video, audio, and text within a massive context window to support agentic workflows.

Google’s latest audio models decouple interactive and reasoning latencies to enable fluid, stateful agentic interactions in enterprise environments.

The Toronto-based startup leverages self-supervised vision transformers to automate grip selection in bionic prosthetics through real-time environmental inference.

The new library enables native Gemini model access across Android and JVM environments using Kotlin-specific features for improved performance.

The new SaaS platform leverages multimodal reasoning and synthetic media detection to automate complex content moderation tasks for global media organizations.

The new multimodal world model from World Labs utilizes autoregressive diffusion to enable precise 3D scene reconstruction and robotics simulation.

The company introduces an experimental vision-capable model to its API, marking a shift toward integrated visual-linguistic processing.

The release of the Qwen 3.8-27B model provides a high-performance, locally-runnable alternative to the massive Qwen 3.8-Max flagship, targeting the developer ecosystem with an Apache 2.0 license.

University of Sheffield researcher Neda Azarmehr is developing lightweight, multimodal AI models to improve diagnostic precision and clinical decision-making in medical imaging.