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

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 ...

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 ...

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

How can society advocate for the design of algorithms to align with democratic principles? What democratic values should be ...

I plan to add more hierarchical RL algorithms soon. Below shows the performance of DQN and DDPG with and without Hindsight Experience Replay (HER) in the Bit Flipping (14 bits) and Fetch Reach ...

A salary prediction system using machine learning techniques was developed by Dr. Fadi Sibai, Gulf University of Science & ...

Apple Watch users everywhere, now including Brazil, can catch early signs of sleep apnea and take steps toward healthier ...

Cryptocurrency has transformed the financial world, offering a decentralized and secure way to invest and trade. Now, with ...

Meet Madhusudhan Dasari, a senior data engineer at American Express, who is pioneering AI-powered cybersecurity solutions to ...