CMU researchers just unveiled Point2Part, an AI model that decomposes a single image or 3D mesh into clean, watertight parts using simple point prompts. Unlike previous methods that leave gaps or overlapping meshes, it guarantees every piece fits back together seamlessly.
Researchers from Max Planck and CMU just open-sourced MAMMA, a markerless motion capture system that converts multi-view video into accurate 3D models with only four standard cameras. It tracks complex interactions like dancing and hugging without wearable sensors, easily pulling off Matrix-style bullet time effects. The code and a browser UI are available on GitHub for non-commercial research.
Engineers from Stanford, CMU, Penn, and MIT just teamed up with SkyWater Technology to build the first U.S.-made monolithic 3D chip in a commercial foundry. By vertically stacking logic and memory with dense wiring, it bypasses the dreaded "memory wall," boosting speeds up to 12x on Meta's LLaMA workloads. Why it matters: It proves next-gen 3D chip architectures can actually be produced in domestic fabs rather than just cleanrooms.
NVIDIA just released Granary, an open-source multilingual speech dataset spanning around a million hours of audio across 25 European languages. Alongside it, the company launched Canary-1b-v2 for high-accuracy translation and Parakeet-tdt-0.6b-v3 for fast, real-time transcription on Hugging Face.
Anthropic just committed $2 million to Carnegie Mellon University to fund AI-powered grid research and cybersecurity education. CEO Dario Amodei argued that securing abundant clean energy and modernizing the power grid are essential bottlenecks America must solve to keep its frontier AI lead.
OpenAI just appointed Zico Kolter, director of the Machine Learning Department at Carnegie Mellon University, to its Board of Directors and Safety & Security Committee. Kolter is well known for his technical work on model robustness and alignment. It's a clear signal OpenAI wants deeper technical oversight on safety as its models advance.
