Orchestral replaces LangChain’s complexity with reproducible, provider-agnostic LLM orchestration

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

Ivan Battimiello Receives 2025 Global Recognition Award For Secure Systems Leadership And High-Impact Engineering

Ivan Battimiello earned a 2025 Global Recognition Award for technical leadership in secure systems engineering. His nine-year ...
IEEE

A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer

Abstract: Emotion recognition based on EEG signals has been a challenging task. The acquisition of EEG signals is complex, time-consuming, and has a high overhead. Artificial Intelligence Generated ...
GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...
GitHub

A ReAct Based Highly Robust Autonomous Agent Framework.

This paper proposes a highly robust autonomous agent framework based on the ReAct paradigm, designed to solve complex tasks through adaptive decision making and multi-agent collaboration. Unlike ...
IEEE

A Hybrid Framework Using Diffusion Policy and Residual RL for Force-Sensitive Robotic Manipulation

Abstract: Force-sensitive manipulation is essential for tasks such as cleaning, polishing, and surgical assistance, yet it remains challenging due to complex contact dynamics and the need for ...