Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

A new methodology is presented and allows for the integration of Monte Carlo electron distributions into the Sentaurus workflow for the development of electron detectors applied to transmission ...

Automated Multiplication Quiz Solver (OCR & PyAutoGUI):A Python bot that solves multiplication problems in apps. Uses Tesseract for OCR, calculates answers, simulates human mouse moves, detects ...

Computer-Assisted Synthesis Programs are increasingly employed by organic chemists. Often, these tools combine neural networks for policy prediction with heuristic search algorithms. We propose two ...

The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based de ...

We discuss modifications to tracking models, and sequential Monte Carlo algorithms for their estimation from sequential and batch data. New models for tracking are proposed which involve a dynamical ...

A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, whether an olive plantation is traditional, intensive, or super-intensive.