Envision a future where the voices and wisdom of our loved ones endure indefinitely—not as static photos or recordings, but ...

This asymmetry points to a deeper challenge: the growing gap between those who can anticipate disruption and those with the ...

HealthSecureNet operates through a three-tiered machine learning architecture that combines Gradient Boosting and Support ...

In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

To teach a machine-learning algorithm to find a relationship ... such as cardiologists, to go through millions of data points and label each instance of atrial fibrillation. It would be useful ...

Abstract: This paper investigates the adaptive optimal output regulation of completely ... Then, an online-verifiable initial excitation-based dual-integrator-based learning algorithm is first ...

This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

Her publications focus on e-learning, artificial intelligence in education ... pedagogical strategies for integrating AI effectively in multilingual learning. Through interactive demonstrations and ...