A two-day DataX workshop that covered a wide range of scientific topics, from Bayesian inference techniques to looking at machine learning in the context of the larger world, was held from May 13th to the 14th at Princeton University’s Friends Center. According to its organizers, the event, “Tutorial Workshop on Machine Learning for Experimental Science,” was meant to disseminate current topics and techniques in the field so that scholars may advance their research.
Data scientists Brain Arnold and Jose Garrido Torres, supported by the Schmidt DataX Initiative, are featured in a new series of videos talking about their role and impact in research with Princeton University scholars.
Eight new interdisciplinary research projects have won seed funding from Princeton University’s Schmidt DataX Fund, marking the third round of grants undertaken by the fund. The fund, supported through a major gift from the Schmidt Futures Foundation, provides grants to explore using artificial intelligence and machine learning to accelerate discovery.
The eight funded projects involve 13 faculty across seven departments and programs, from computer science to Near Eastern studies.
On March 4th, DataX sponsored part one of a workshop on cloud computing with a focus on setting up an integrated development environment for local and cloud computing.Twenty people attended, both in person and via Zoom. Part two of the workshop will be on April 1st, which will show attendees on how to build virtual machines in Microsoft Azure and access these using PyCharm. Read more about the March 4th workshop and how to register for the next one.
If you want to wrap your mind around the concept of blockchain and cryptocurrency, you should look at the history and usage of the “rai stone,” according to Pranay Anchuri, data scientist at Princeton University.
In the Micronesia area of the Pacific Ocean, above Australia and Papua New Guinea, there is the tropical island Yap where…
Many researchers at Princeton University and elsewhere develop their own software programs to help them elucidate complex processes and solve interesting problems, from biomedicine to water management. But when it comes to making the code available to the wider research community, these prototype programs need to make a…
As machine learning gains traction in research and industry, one subfield, deep learning, has emerged as a hot area of interest due to rapid development and research, according to Boris Hanin, an assistant professor in Princeton University’s Department of Operations Research and Financial Engineering.
In certain regions of Africa wracked by heavy poaching, people have observed an increased incidence of African elephants without their iconic white tusks, which are prized in the multibillion-dollar wildlife black market. But there has been no direct genetic evidence indicating how this was happening or why this trait…
To probe the origin and spread of cancers in the human body more effectively, Ben Raphael, professor of computer science at Princeton University, and his research lab created HATCHet or Holistic Allele-specific Tumor Copy-number Heterogeneity, an algorithm that is capable of…