Federated Analytics and AI Agents

Federated data analysis is a technology for building distributed data analysis systems where no data is moved from their storage (collection) locations for analysis. This is a data analysis technology that defines a new level of access and transfers analysis and calculations directly to where the data is located. Federated data analysis allows researchers to safely analyze data from different organizations. Restrictions on data access, cybersecurity requirements, and the development of edge device intelligence are all factors that will ensure growing interest in this technology. The paper examines issues of designing the architecture of such systems. - from our new paper

Rehab for stroke, injuries, and polyneuropathies

Rehab for stroke, injuries, and polyneuropathies. Movement disorders? We fix 'em. Pain? We kick it – back, head, leg, even that one weird toe. Ergotherapy included. Real science. Real humans. Real progress. See in Telegram: https://t.me/GritandGrace_1

On the AI Agents Audit Model

The topic of AI agents is one of the hottest topics in the development of Artificial Intelligence. Agents are designed to combine generative models with traditional software. The underlying generative models in this combination represent Artificial Intelligence, which must plan solutions to given problems, abandoning rigid algorithmic models. This field of AI agents is developing at a rate that even exceeds the development of large language models. AI agents are already being considered a new replacement programming paradigm. However, issues of trust in Artificial Intelligence systems, which, in reality, represent trust in the results of such systems, are not resolved simply due to a shift in the paradigm of use. Rigorous formal proofs of functionality for large language models and, consequently, for AI agents are lacking. An audit of artificial intelligence systems is a practical way to ensure, in the absence of formal evidence, that all currently available steps to increase confidence in the system's performance have been foreseen and implemented. - from our new paper