Computer science grad earns IBM fellowship for AI research
Computer science grad earns IBM fellowship for AI research
Publish Date: 2026-04-30 18:09:00
Source Domain: news.asu.edu
- Naman Ahuja is focusing on helping artificial intelligence (AI) systems convert long, unstructured text into accurate, usable tables, particularly for healthcare data.
- Ahuja’s method involves breaking down the task of data extraction into smaller, verifiable steps to ensure reliability and accuracy.
- His approach has earned him significant recognition, including the IBM Infrastructure Master’s Fellowship Award for real-world impact.
- A key aspect of his solution is its applicability to “living data,” meaning it can update existing tables as new evidence emerges, rather than requiring a complete overhaul.
- The work directly addresses real-world needs in healthcare where accurate and timely conversion of complex documents is crucial for decision making.
- Naman will be joining Amazon to continue working on large-scale systems and real-world applications of his research.
- His efforts underscore the challenge large language models face in accurately and reliably converting unstructured data, an issue he aims to resolve through step-by-step processing.
- Ahuja’s research highlights a broader shift in AI towards generating and evaluating complex, structured data in ways that build public trust.
