Comunicados de prensa Allen Institute for AI (Ai2) — Feed RSS y monitoreo en vivo
PPN World sigue el feed RSS de Allen Institute for AI (Ai2) en tiempo real — 5 comunicados indexados en los últimos 30 días, el más reciente llegó hace 2 d. Síguelo con alertas de búsquedas guardadas, resúmenes con IA y búsqueda de texto completo, o conecta la URL RSS de abajo a tu propio lector.
URL del feed RSS de Allen Institute for AI (Ai2)
https://allenai.org/rss.xmlSobre este feed
Allen Institute for AI (Ai2) forma parte de los más de 1200 feeds de comunicados que PPN World monitorea de forma continua — una fuente en inglés centrada en el sector Inteligencia artificial, clasificada bajo «Estados Unidos» en nuestro índice por país. Cada comunicado se deduplica, se geolocaliza y se enriquece con un resumen de IA, y puedes añadir alertas de búsquedas guardadas sobre cualquier palabra clave que publique. Allen Institute for AI (Ai2) es una fuente especializada de bajo volumen — 5 comunicados en los últimos 30 días: el tipo de fuente que merece una alerta más que un desplazamiento.
Cómo seguir los comunicados de Allen Institute for AI (Ai2)
- Copia la URL del feed RSS de Allen Institute for AI (Ai2) que aparece arriba.
- Pégala en cualquier lector RSS (Feedly, Inoreader, NetNewsWire…) para recibir el feed sin procesar.
- O sigue Allen Institute for AI (Ai2) en PPN World para añadir deduplicación, alertas de búsquedas guardadas y resúmenes con IA en los más de 1200 feeds.
Últimos comunicados de Allen Institute for AI (Ai2)
- The OlmoEarth Platform: Geospatial inference at planetary scalehace 2 d
- The OlmoEarth Platform: Geospatial inference at planetary scalehace 2 d
How we built the OlmoEarth Platform to fine-tune geospatial models and run continent-scale satellite inference while managing massive data pipelines, distributed compute, and automatically recovering…
- Who gets to understand AI?hace 6 d
Why fully open models and research artifacts are essential to independent scrutiny, broader participation, and continued U.S. scientific leadership in AI.
- What building Shippy taught us about building agentshace 17 d
Building Shippy taught us that reliable agents depend less on the model itself than on deterministic tools, explicit guardrails, isolated infrastructure, and evaluations grounded in real-world workflo…
- MolmoAct 2 shows what open models can unlock for roboticshace 22 d
Robotics engineer Binh Pham used MolmoAct 2 to build a voice-controlled robot that won South Park Commons’ embodied AI hackathon.
- Modular LLMs at scale: how FlexOlmo is helping to pool national expertise without pooling sensitive datahace 28 d
Danish Foundation Models is using FlexOlmo as the basis for FlexMoRE, a more efficient modular LLM architecture that lets institutions contribute specialized experts trained on sensitive or proprietar…
- DiScoFormer: One transformer for density and score, across distributionshace 30 d
- DiScoFormer: One transformer for density and score, across distributionshace 31 d
DiScoFormer is a transformer-based density and score estimator that can infer both quantities from a finite sample in one forward pass, generalizing classical KDE while staying accurate in high-dimens…
- Which tokens does a hybrid model predict better?hace 35 d
New token-level analyses of Olmo 3 and Olmo Hybrid show that hybrid models predict meaning-bearing, context-dependent tokens better than transformers, while transformers retain an edge on verbatim cop…
- How Domyn and AISquared built on Ai2's open releaseshace 42 d
Domyn and AISquared show how Ai2’s open releases are helping AI labs build models for regulated industries, where transparency, provenance, licensing, and control are essential for customer trust and…
- MolmoMotion: Language-guided 3D motion forecastinghace 43 d
MolmoMotion is an open, language-guided 3D motion forecasting model that predicts how object points will move in the future, enabling stronger motion prediction for robotics, video generation, and oth…
- olmo-eval: An evaluation workbench for the model development loophace 48 d
olmo-eval is an open evaluation workbench that helps model developers add, run, and analyze benchmarks across changing LLM checkpoints, extending OLMES from final-score reproducibility into the day-to…
Los comunicados más recientes de esta fuente se transmiten en vivo para los miembros de PPN World.