It is the the dream of every molecular geneticist: an easy-to-use program that compares data sets from different cellular conditions, identifies enhancer regions and then assigns them to their target genes. A research team led by Martin Vingron at the Max Planck Institute for Molecular Genetics in Berlin has now developed a program that masters all of this.READ MORE
A new method of studying large numbers of particles at quantum level has been developed, which allows for the study of the dynamics of the interactions between electron and ion.READ MORE
Stanford and UMass Amherst develop a new way to help machine-learning designers build AI with safeguards against specific, undesirable outcomes such as racial and gender bias
Engineers at Duke University have developed a microscope that adapts its lighting angles, colors and patterns while teaching itself the optimal settings needed to complete a given diagnostic task.
Hiring decisions are rife with human bias, leading some organizations to hand off at least part of their employee searches to algorithms that screen applicants. But new research raises questions about those algorithms and the tech companies who develop them.READ MORE
Professor Nikolaus Rajewsky is a visionary: He wants to understand exactly what happens in human cells during disease progression, with the goal of being able to recognize and treat the very first cellular changes.READ MORE
Researchers used a machine-learning approach to discover new ways of controlling the spatial organization of induced pluripotent stem cells.