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Building a realistic path into data science in 2026
Data science has an unusual marketing problem. The role is consistently described using its most glamorous applications — ...
Rosalind, a Rust-built genomics library, runs whole genome sequencing analysis in 100 MB of RAM on a laptop, with no cloud ...
For many people, photosynthesis is a dusty middle- or high-school memory. But in Northwestern Engineering’s new Data-Driven Plant Science course, photosynthesis is a live signal to measure, analyze, ...
2don MSN
Google engineer made $1.2M by placing bets on Polymarket using confidential info, prosecutors allege
A Google software engineer was accused Wednesday of allegedly using confidential company information to make over $1.2 ...
The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe ...
Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of ...
A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate artificial intelligence research using health data, addressing longstanding ...
In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...
A new study assessed cannabis use in the United States between 1979 and 2022, finding that a growing share of cannabis consumers report daily or near-daily use and that their numbers now exceed those ...
David Bamman studies culture at a scale few humans ever could. An associate professor in the UC Berkeley School of Information, Bamman uses computational methods to analyze books, films and music, ...
Thanks to new technologies like artificial intelligence, scientists are increasingly freed from the constraints of the laboratory. It raises questions about how much humans should outsource to robots.
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