The aim of this assignment is to get you acquainted with AI search techniques and how to derive heuristics in Pacman, as well as to understand how to model a state space problem with python. In ...

In Python code generation, for instance, the researchers' architecture enabled a small, open-source model to outperform a specialized, commercial closed-source model that is more than double its size.

Think about the last time you opened Netflix. Did you scroll through countless options or go with a recommended title? When you log into social media, do you decide what to see, or does an algorithm ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Abstract: Predictive compilation and intelligent source code analysis tasks necessitate the development of practical source code embeddings that preserve the contextual and semantic information of the ...

Abstract: Augmented reality (AR)-based indoor guidance is gaining popularity in various industries. With AR's capability to connect to other devices and perform innovative tasks, technological firms ...

The company has been accused of using algorithms to deny treatments and refusing coverage of nursing care to stroke patients. By Sarah Kliff and Reed Abelson As one of the nation’s largest health ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

1 School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China. 2 School of Vocational Education, Tianjin University of Technology and Education, ...