In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Develop vital data science, AI and machine learning skills through interactive live sessions and real world case studies and ...

A new study titled "An Efficient Method for Early Alzheimer’s Disease Detection Based on MRI Images Using Deep Convolutional ...

A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

Arnab Kar is a founding member of Data Science and Machine Learning considered the new generation of professors; his academic ...

Santa Clara, California - Meta's ambitious expansion of machine learning initiatives across its family of apps and Metaverse ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the first programmable chip capable of training nonlinear neural networks using ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

When asked to describe the “mine of the future,” people generally think of one where every aspect of operations is seamlessly ...

The advent of AI as a widely available business tool has given rise to numerous applications that are proliferating at a ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...