Large language models fail at hard and medium difficulty problems where they can’t stitch together well-known templates. You ...

High dimensionality often challenges the efficiency and accuracy of a classifier, while evolutionary feature selection is an effective method for data preprocessing and dimensionality reduction.

Startups are developing tools to help companies sell their goods and services online as consumers increasingly use chatbots ...

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

pepbench presents a framework for the automated extraction of the pre-ejection period (PEP) from electrocardiogram (ECG) and impedance cardiography (ICG) signals. The package includes a variety of ...

This paper proposes a hybrid algorithm called ISSA based on the combination of squirrel search algorithm (SSA) proposed in 2019 and invasive weed optimization (IWO) proposed in 2006. About 36 ...

Harvard University is now offering free online Computer Science courses, making Ivy League education accessible to all. These ...

♟️ A Python-based Checkers game featuring an intelligent AI that makes strategic moves using the Minimax algorithm with Alpha-Beta pruning for optimal decision-making. The game includes a real-time ...

Like Shor’s algorithm, the new approach factors integers in a reasonable amount of time. The work also points to new possibilities for implementing continuous methods in quantum computing. “This paper ...