Google Introduces Agent2Agent (A2A): A New Open Protocol that Allows AI Agents Securely Collaborate Across Ecosystems Regardless of Framework or Vendor Google AI recently announced Agent2Agent (A2A) , an open protocol designed to facilitate secure, interoperable communication among AI agents built on different platforms and frameworks. By offering a standardized approach to agent interaction, A2A… →

Google Releases Agent Development Kit (ADK): An Open-Source AI Framework Integrated with Gemini to Build, Manage, Evaluate and Deploy Multi Agents Google has released the Agent Development Kit (ADK) , an open-source framework aimed at making it easier for developers to build, manage, and deploy multi-agent systems. ADK is written in Python and focuses on… →

Unveiling Attention Sinks: The Functional Role of First-Token Focus in Stabilizing Large Language Models LLMs often show a peculiar behavior where the first token in a sequence draws unusually high attention—known as an & sink.&; Despite seemingly unimportant, this token frequently dominates attention across many heads in Transformer models. While prior research has explored when… →

TorchSim: A Next-Generation PyTorch-Native Atomistic Simulation Engine for the MLIP Era Radical AI has released TorchSim, a next-generation PyTorch-native atomistic simulation engine for the MLIP era. It accelerates materials simulation by orders of magnitude, transforming traditional scientific approaches. Current materials research requires large teams focused on single problems, resulting in slow progress and high costs.… →