Starting from scratch, he acquired skills in Python, Java, SQL, Machine Learning, Data Structures and Algorithms (DSA), and more, all through the online BS curriculum.

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging ...

Efficiency in AI development, paired with open source sharing in the industry, can help empower startups and enterprise ML ...

Why agencies must look beyond ‘post-quantum crypto’ algorithms to secure their data As NIST rolls out advanced PQC standards to address the ‘Harvest now, decrypt later’ threat, a new report suggests ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

In an interview with Harvard Law Today, Noah Giansiracusa explains how companies deploy what some call "dynamic" or “surveillance pricing,” using individual customers' data as a primary algorithmic ...

This Backgrounder presents a data-driven analysis of the H-1B visa program, highlighting critical shortcomings. The data reveal that a significant proportion of H-1B workers are paid below the ...

Recent breakthroughs in artificial intelligence have transformed protein structure biology from a data-limited discipline into a data-driven frontier of ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

We examine whether large-scale information interventions can improve college application outcomes in a centralized admissions system. Using nationwide surveys from Chile, we document widespread ...

This fall, the College of William and Mary is offering an interdisciplinary artificial intelligence minor designed to give ...