Most Recent Additions*
METHOD AND SYSTEM FOR AUTOMATED INCIDENT LIFECYCLE MANAGEMENT WITH SELF-LEARNING AGENTS
Soumendra Kumar Mishra and Amitabh Ranjan
The Picotesla Protocol: Energy-Matched Neuromorphic Brain–AI Interface With Quantum-Responsive Event
Samuel Church
Multi-agent AI for Automated Creation and Quality Assurance of Cloud Incident Response Playbooks
Nitin Garg, Kunwar Vikas, Lakshmipriya Baskar, Ranjeet Ranjan, Anusha Bansal, Heer Mehta, Varun Bhardwaj, and Savit Gupta
Novel solid state forms of (S)-(2-(5-chloro-4-methyl-1H-benzo[d]imidazol-2-yl)-2-methylpyrrolidin-1-yl) (5-methoxy-2- (2H-1,2,3-triazol-2-yl) phenyl) methanone and processes for the preparation thereof
Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kammari Bal Raju, Garai Abhijit, MSN Laboratories Private Limited, R&D Center, Hyderabad, India.
Novel solid state forms of (RR,SS)-1,3,4,6,7,11b-hexahydro-9,10-di(methoxy-d3)-3-(2-methylpropyl)-2H-benzo[a]quinolizin-2-one and processes for preparation thereof
Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kammari Bal Raju, Garai Abhijit, MSN Laboratories Private Limited, R&D Center, Hyderabad, India.
System for LLM-Driven Orchestration and Live Migration of Isolated Software Agents
Johannes Start and John Lunney
REAL-TIME PREFERRED AGENT AVAILABILITY PREDICTIONS FOR ENHANCED CONTACT CENTER ROUTING
Rajarathinam Chidambaram, Jibin George, Gururaj B T, Riyad Ottayil, and Anil Kumar M L
Time-Series Forecasting Using Dynamic Covariates from Text-Based Event Extraction
Leonid Kuligin and Thomas Zettl
*Updated as of 12/05/25.