Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development ...

Arbor uses Hypothesis-Tree Refinement (HTR), which organizes optimization work into a branching tree structure of hypotheses, experiments, evidence, and insights, where each branch builds on what came ...

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. "With the way AI ...

We’ve all been there. A tiny ant crawling across the kitchen counter. A mini panic, followed by an attempt to remove it unharmed, which often ends with a frustrated squish. You think the problem has ...

In the Arizona desert, scientists have uncovered a bizarre and almost unbelievable partnership between ants: tiny cone ants acting as “cleaners” for much larger harvester ants. Instead of attacking, ...

Abstract: The electric vehicle routing problem (EVRP) is a complex logistical challenge that requires optimizing both route planning and charging decisions. Although ant colony optimization (ACO) has ...

Autocomp is a portable, extensible framework for LLM-driven kernel optimization across tensor accelerators. Point it at a kernel, pick your hardware target, and Autocomp speeds it up, automatically.

Abstract: To address the limitations of ant colony optimization (ACO) algorithm in terms of convergence speed, search efficiency, local optimal traps, and dependence on high-precision maps, this ...