When AI Becomes a Self-Improving Strategic Asset The Battlefield That Exists Only in Code Imagine a commander who never ...

Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...

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 ...

Living systems sense, process and classify information from their environment using complex reaction networks 1,2. These networks can respond to diverse physical and chemical stimuli such as the ...

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 ...

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 ...

Welcome everybody to Recursion's Earnings Call. I'm Chris Gibson, Co-Founder and CEO, and I'm excited to take you through Recursions 2024, 2025 and the time ahead. So with that we'll jump into the ...

Training spiking recurrent neural networks on neuronal recordings or behavioral tasks has become a popular way to study computations performed by the nervous system. As the size and complexity of ...

This makes the previous definition easier to write. Now that we have a simplified expression, let's examine the first few terms to try to find a pattern that we can write in a non-recursive way. This ...