Flipboard

NOVEMBER 6, 2024

We developed and validated a deep learning model designed to identify pneumoperitoneum in computed tomography images. Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality and morbidity. CT scans are routinely used to diagnose pneumoperitoneum.

Deep Learning 87

Deep Learning Deep Learning Algorithm ML 87

NYU Center for Data Science

DECEMBER 11, 2024

While scientists typically use experiments to understand natural phenomena, a growing number of researchers are applying the scientific method to study something humans created but dont fully comprehend: deep learning systems. The organizers saw a gap between deep learnings two traditional camps.

Deep Learning 75

Deep Learning Deep Learning Computer Science Computer Science 75

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics. in 2012 is now widely referred to as ML’s “Cambrian Explosion.” The union of advances in hardware and ML has led us to the current day. Work by Hinton et al.

AWS 121

AWS ML ML Clustering 121

Flipboard

AUGUST 17, 2023

The policy looks like the following code: { "Version": "2012-10-17", "Statement": [ { "Action": "redshift:getclustercredentials", "Effect": "Allow", "Resource": [ "*" ] } ] } After this setup, SageMaker Data Wrangler allows you to query Amazon Redshift and output the results into an S3 bucket.

ML 123

ML ML AWS Data Warehouse 123

ODSC - Open Data Science

MAY 1, 2023

He shipped products across various domains: from 3D medical imaging, through global-scale web systems, and up to deep learning systems that power apps and services used by billions of people worldwide. In 2012, Daphne was recognized as one of TIME Magazine’s 100 most influential people.

Data Science 52

Data Science Machine Learning Machine Learning Azure 52

Hacker News

FEBRUARY 14, 2023

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few.

Machine Learning 182

Machine Learning Machine Learning Algorithm Artificial Intelligence 182

DrivenData Labs

SEPTEMBER 10, 2024

Winning teams included individuals with expertise in computer science, engineering, biomedical informatics, neuroscience, psychology, data science, sociology, and various clinical specialties. student in Computer Science and Engineering at SUNY Buffalo. Wei Bo is a third-year Ph.D. She received an M.S.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147