This publication explores how these new technologies will transform the way we build database management software, creating new systems that can ingest, store, process, and query all data.
When Nikola Tesla predicted we’d have handheld phones that could display videos, photographs, and more, his musings seemed like a distant dream. Nearly 100 years later, smartphones are like an extra appendage for many of us.
Earlier this month, electrical engineering and computer science researchers from around the world came together at MIT for the twelfth annual Rising Stars Workshop. The event welcomed graduate students and postdocs of historically underrepresented genders who are interested in pursuing academic careers in the field.
Research scientist Yosuke Tanigawa and Professor Manolis Kellis at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel methodology in human genetics to address an often-overlooked problem: how to handle clinical measurements that fall "below the limit of quantification" (BLQ). Recently published in the American Journal of Human Genetics, their new approach, "hypometric genetics," utilizes these typically discarded measurements to enhance genetic discovery, with significant implications for personalized genomic medicine and drug development.
