SFU's Human-Centred AI microcredential teaches you to build human–AI collaboration tools and use data to understand behaviors and systems through in-depth semester courses with final projects you can ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Sakana AI’s “ALE-Agent” achieved a historic milestone by securing 1st place in the AtCoder Heuristic Contest 058, outperforming 804 human participants. To contextualize the difficulty of these ...

Ready to Excel in High-Growth Technology Roles? The Master of Science in Computer Science (MSCS) at Boston University’s Metropolitan College (MET) is designed to help you compete for positions in high ...

Our ability to collect, mine, and utilize massive amounts of data continues to transform every aspect of our lives. With adoption of big data analytics widespread within every major industry—including ...

In complex industrial environments, traditional industrial robot control systems are difficult to meet the requirements of automated production for industrial parts sorting and assembly tasks. The ...

This project implements an AI-based solution to the classic 8-Puzzle Problem using various search algorithms, with a focus on the A* algorithm for optimal performance. The 8-puzzle is a 3x3 sliding ...

A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set. Decision trees can be used for both classification ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

Autonomous robots operating in uncertain or hazardous environments subject to state safety constraints must be able to identify and isolate faulty components in a time-optimal manner. When the ...

Bacteriophages are the most prevalent biological entities in the biosphere. However, limitations in both medical relevance and sequencing technologies have led to a systematic underestimation of the ...