Le Bin Ho led a team that developed a multi-target quantum compilation algorithm. They published their new study in the journal Machine Learning: Science and Technology on December 5, 2024.

The EXPLINGO system by MIT converts intricate machine-learning explanations into readable narratives, improving trust in AI ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Machine learning approaches offer promising solutions for early autism spectrum disorder detection, addressing diagnostic ...

This paper proposes an efficient surrogate-assisted mixed continuous/binary particle swarm optimization (SAMPSO) algorithm to address these mixed-variable antenna optimization problems. The SAMPSO ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

and machine learning fields with foci on mathematical foundations, algorithms, tools and applications as they pertain to artificial intelligence and machine learning. Students will pursue an applied ...

Background Cardiac amyloidosis (CA) is an underdiagnosed, progressive and lethal disease. Machine learning applied to common ...

Unlock the impact of machine learning in digital banking with smarter personalization, advanced fraud detection, efficient operations, and optimized customer support.

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant ...