Good morning, everyone, and thank you for joining us. Since stepping into this role, I've been focused on a singular question: how do we harness the full power of AI to consistently and with urgency ...

Abstract: Track-before-detect (TBD) algorithms incorporate unthresholded measurements to track targets under low signal-to-noise ratio (SNR) conditions. In this paper, we generalize a single target ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

Quoracle is a Phoenix LiveView application that lets you build hierarchical agent systems where every decision is made by consensus across multiple language models. Instead of trusting one model to ...

This article analyzes the shift from static Large Language Models to recursive agentic systems. It discusses how memory is evolving from simple storage to an active process and introduces the concept ...

Assembly theory (AT) quantifies selection using the assembly equation, identifying complex objects through the assembly index, the minimal steps required to build an object from basic parts, and copy ...

Real-time model adaptation stands as a pivotal foundation for comprehending system behavior under sudden ambient impacts and devising effective prediction and control strategies to maintain system ...

Recursion – the process of a system feeding its outputs back into itself – is a powerful concept spanning systems theory, cognitive science, and artificial intelligence. In simple terms, recursive ...

Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2013. Most models of sensory processing in the brain have a feedforward ...