Meta has released the on-device model Muse Glimmer as an open-source project. The company also announced that a variant named Muse Spark 1.2 is scheduled for release soon.
Meta has released Muse Glimmer, a dense 30B parameter multimodal model available as open source on the Hugging Face Hub. The architecture consists of a 28B text decoder and a 2B ViT-style Perception Encoder for vision tasks.
Meta has released Muse Glimmer, a 30-billion parameter dense multimodal model optimized for always-on local agent workflows. The weights are available under the Apache 2.0 license.
Meta has released Muse-Glimmer-30B, a 29.6B dense model with vision capabilities under the Apache 2.0 license.
Google has open-sourced its WeatherNext 2 and WeatherNext Cyclones AI models to improve cyclone forecasting accuracy. The models achieve state-of-the-art results in predicting track, intensity, and wind structure, providing forecasters with an average of one extra day of predictive accuracy compared to current methods.
The University of Pittsburgh’s Human Engineering Research Laboratories (HERL) is leading the Robotic Assistive Mobility and Manipulation Platform Providing Independence for People with Disabilities (RAMMP), a project backed by up to $41.5 million in funding from ARPA-H. The initiative aims to create safer, more adaptable assistive mobility solutions for wheelchair users by integrating advanced robotics with Meta’s open-source AI vision models.
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