Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications.

Naga Malladi revolutionized healthcare analytics with AI-driven predictive tools that reduced no-shows, improved resource use, and boosted provider satisfaction.

ML and DL (deep learning) algorithms are important in helping organisations learn from sourced data, in structured and ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Agentic AI promises a significant shift in automation, with Gartner projecting it will autonomously resolve 80% of common ...

Key Takeaways Data Science careers are now flourishing rapidly, with multiple career options for job seekers. In India, freshers are heading toward the Dat ...

The smooth and efficient functioning of operating rooms (ORs) is critical to patient care, patient flow and hospital operations and revenue. However, outdated communication systems, fragmented ...

The future of data engineering isn't about replacing human intelligence with algorithms, but about creating synergistic environments where both thrive.

Intuit is using advanced genetic algorithms to help with prompt optimizations that could have significant impact for users.