The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far less training data and compute than much larger systems.

This field of research explores the formal foundations that underlie the reasoning processes of multiple interacting agents. By integrating the principles of epistemic logic with multi-agent systems, ...

As software systems grow increasingly complex, developers face a mounting challenge: efficiently navigating and understanding vast codebases. Although traditional code search methods like vector and ...

Google DeepMind is not building a better gamer; it is building a better brain. The Scalable Instructable Multiworld Agent (SIMA) project, now in its second generation, is using the complex, open-ended ...

Mercury 2 targets structured tasks with schema-aligned JSON output; supports OpenAI API drop-in integration, for simpler deployment.

Conventional Artificial Intelligence (AI) systems, particularly Large Language Models (LLMs) and Large Multimodal Models (LMMs), primarily rely on language, pre-trained historical data, and mimicking ...