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On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up.
Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...
Skypoint Launches Lia and Scribe: AI-Powered Agents Redefining Clinical Workflow Efficiency and Social Determinants of Health (SDOH) Data Capture PR Newswire PORTLAND, Ore., June 13, 2025 ...
Data Science Agent uses Anthropic PBC’s Claude large language model to dissect machine learning projects into logical steps and deliver executable pipeline components that can be run inside ...
In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.
Azure Machine Learning is built with strong, enterprise-grade security features to protect data, models, and the entire machine learning workflow. It leverages Azure's Role-Based Access Control (RBAC) ...
New solution allows customers to unify data across platforms, leverage powerful analytics on AWS, and seamlessly trigger ServiceNow workflows in real time AWS joins ServiceNow’s Workflow Data ...
Whether you’re working with sales data, employee performance metrics, or customer insights, Python in Excel offers a smarter, more efficient way to handle external data.
A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...
The program will comprise lectures and hands-on workshops covering various Big Data applications and machine learning to enhance macroeconomic statistics and nowcasting, offering insights from both ...
What inspired the start of Kay.ai? My cofounder Achyut Joshi and I are both machine learning engineers with backgrounds at big tech companies. After participating in the South Park Commons Fellowship, ...
Welcome to the "Lung Cancer Prediction" repository, where we utilize machine learning models such as Random Forest, Logistic Regression, and SVM to predict lung cancer risks. This project focuses on ...
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