ascopubs.org

Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer

Clinicogenomic Real-World Data Enable Prediction of Hospital Readmissions at a Comprehensive Cancer Center Publicly available WSI of pancreatic ductal adenocarcinoma resections from three cohorts were ...
DATAQUEST

Data Scientist vs Machine Learning Engineer: Which career is better for you?

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which AI career is best for you.
VentureBeat

AI joins the 8-hour work day as GLM ships 5.1 open source LLM, beating Opus 4.6 and GPT-5.4 on SWE-Bench Pro

Is China picking back up the open source AI baton? Z.ai, also known as Zhupai AI, a Chinese AI startup best known for its powerful, open source GLM family of models, has unveiled GLM-5.1 today under a ...
The New York Times

Anthropic Claims Its New A.I. Model, Mythos, Is a Cybersecurity ‘Reckoning’

The company said on Tuesday that it was holding back on releasing the new technology but was working with 40 companies to explore how it could prevent cyberattacks. By Kevin Roose Reporting from San ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...
GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

TurboQuant PyTorch — Implementation + Deep Tutorial A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value ...
GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
contemporarypediatrics

Deep learning model accurately predicts childhood myopia risk

A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
PNAS

A protein dynamics–based deep learning model enhances predictions of fitness and epistasis

Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...
IEEE

A Dual-Driven Deep Learning Model with Local Structure Physical Scattering Characteristics and Fine-Grained Image Features for SAR Ship Recognition

Abstract: In recent years, synthetic aperture radar (SAR) ship recognition based on deep learning has received extensive attention and research. The accuracy and reliability of the recognition model ...
Edutopia

A Path to Unlocking Deep Learning in Science

For many educators, the term constructivism brings to mind a core principle from their teacher preparation. This foundational learning theory is a frequent topic in academic literature, appearing in ...
ahajournals.org

Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study

We aimed to refine and validate a deep neural network model from the ECG to predict atrial fibrillation (AF) risk, using samples from diverse backgrounds: the Framingham Heart Study (FHS), UK Biobank, ...