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CSHL Stories and Media archive for Tag: big data

In nature’s math, freedoms are fundamental

5/28/2025

CSHL quantitative biologists have developed a unified theory that could have countless applications, from plant breeding to drug discovery. Read the story »

Photo of a cat looking at reflection in mirror

AI training: A backward cat pic is still a cat pic

5/4/2023

This basic rule of thumb is helping CSHL’s quantitative biologists train AI to get a better read of the human genome. Read the story »

CSHL to receive $2 million in federal budget for 2023

1/5/2023

The money will help the Laboratory purchase new supercomputers and artificial intelligence equipment used in cancer research. Read the story »

Image of a cyborg and human hand holding a DNA branch 3D rendering

Finding the right AI for you

12/5/2022

AI’s popularity has reached a point where there are too many options. How do you know which AI is right for you? CSHL scientists have a solution. Read the story »

chest x-ray of human lungs with pulmonary tuberculosis

Getting a step ahead of TB’s drug resistance evolution

2/15/2022

Mutations are not random, with some kinds of changes occurring more often than others. CSHL researchers may be able to predict which direction evolution is li Read the story »

Building on 150 years of neuroanatomy

10/7/2021

Learn more about how researchers reached a milestone in a years-long effort to catalog the cells of the human, mouse, and monkey brains. Read the story »

Think a census of humans is hard? Try counting their brain cells!

10/6/2021

CSHL researchers and other collaborators reached a milestone in a years-long effort to catalog the cells of the human, mouse, and monkey brains. Read the story »

illustration of a slice of a mouse brain

qBrain: Mapping out brain similarities and differences

8/20/2021

CSHL researchers developed qBrain, a technique that automates complete brain-wide analyses. Read the story »

Using “guilt by association” to classify cells

7/14/2021

Using a new computational statistics tool, CSHL researchers classify cells to understand how an organism functions. Read the story »

3D illustration of DNA molecules with binary code

Solving genetic disease puzzles with quantitative biology

6/17/2021

CSHL quantitative biologist Jesse Gillis teams up with an immunology specialist at Northwell Health to analyze a complex genetic disorder. Read the story »

Let’s talk about the elephant in the data

6/3/2021

How much prior knowledge does a machine learning computer need to find the truth? CSHL Professor Partha Mitra looks to human brains for an answer. Read the story »

Making AI algorithms show their work

5/13/2021

AI machines are often better than humans at discerning patterns. CSHL researchers developed a way to find out why. Read the story »

photo of Jason Williams helping students at the DNALC

Jason Williams named 2020 Kavli Frontiers of Science fellow

1/14/2020

Jason Williams, Assistant Director of External Collaborations at the DNA Learning Center, was chosen for 2020 Kavli Frontiers of Science symposium. Read the story »

photo of Justin Kinney pointing to a model of an artificial neural network on his tablet

Finally, machine learning interprets gene regulation clearly

12/26/2019

Machine learning and a new kind of easily-interpretable artificial neural network is helping scientists make sense of crucial gene regulation. Read the story »

NIH grant awarded for interneuron research

4/4/2019

CSHL postdoc Maggie Crow will use her NIH grant to pursue the quantification and analysis of specific types of neurons in the brain. Read the story »

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