A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

You will have reading, a quiz, and a Jupyter notebook lab/Peer Review to implement the PCA algorithm. This week, we are working with clustering, one of the most popular unsupervised learning methods.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... and Gerd Perkins Professor of Electrical Engineering and Computer Science and a member of ...

Ocean color remote sensing (OCRS) provides crucial insights into marine ecosystems, detecting phytoplankton blooms, measuring ...

As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by ...

In their study, the authors developed a machine learning algorithm—known as PAMmla ... Other attempts at engineering enzymes have had a lower throughput and typically yielded enzymes in ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

The AI and Machine Learning major is one of two specialized majors in Purdue ... high-impact careers at the forefront of AI, technology, and engineering, where they will tackle real-world challenges ...

This encompasses privacy-preserving machine learning, explainable AI, efficient learning algorithms, and techniques for uncertainty quantification. Our work ranges from fundamental algorithmic ...

A new paper by investigators from Mass General Brigham showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy.