Author: Manoj Balakrishnan

   The debate around the reasoning capabilities of Large Reasoning Models (LRMs) has been recently invigorated by two prominent yet

   Challenges in Simulating High-Speed Flows with Neural Solvers Modeling high-speed fluid flows, such as those in supersonic or hypersonic

   For a while, the dream was simple: build smarter systems, automate the dull stuff, and let machines shoulder the

   Multimodal LLMs: Expanding Capabilities Across Text and Vision Expanding large language models (LLMs) to handle multiple modalities, particularly images

   With the frequent release of new large language models (LLMs), there is a persistent quest to minimize repetitive errors,

   In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture

   Introduction: Understanding Generalization in Deep Generative Models Deep generative models, including diffusion and flow matching, have shown outstanding performance

   The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or

   Language modeling plays a foundational role in natural language processing, enabling machines to predict and generate text that resembles

   In the rapidly developing realm of healthcare, artificial intelligence serves as a change agent, shaping the effectiveness of medical