@kate_saenko_
#hiring# Computer Science at Boston University invites applications for a tenure-track faculty position at the rank of Assistant Professor beginning July 1, 2027. We seek candidates in AI, broadly defined.View quoted post on X
academicjobsonline.org/ajo?joblst---1…
Meta’s Segment Anything Model (SAM) 3.1 is now available on Meta Model API, giving developers a fast and lightweight model for detection, segmentation and tracking in a single call on inference tuned for SAM 3.1's architecture.
Use a short phrase to find objects in images and video. One API call returns detections, pixel-precise segmentation masks, and identity-preserving video tracks.
Learn more and start building: bit.ly/4rDArq9View quoted post on X
SAM3 vs Astra for text-prompt segmentation
SAM3 gives much more precise masks. it just often fails to understand complicated text prompts.
Astra is great at language. it rarely misses what you want to detect, usually only when the task needs internal domain knowledge. masks come back as JSON, point by point. slower, and less accurate than SAM3
we just rolled out Astra segmentation in playground
link: playground.roboflow.com/share/1a5d186b…
↓ more Astra examples belowView quoted post on X
Introducing Muse Glimmer, an open-weight 30B-parameter model optimized for local, always-on agent workflows.
Muse Glimmer delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category, and is designed to run entirely on consumer hardware like a Mac or PCs with performant GPUs.
In keeping with our long tradition of sharing fundamental AI research, we’re releasing model weights under a permissive Apache 2.0 license.
🧵👇View quoted post on X
