While companies like Anthropic debate limits on military uses of AI, Smack Technologies is training models to plan battlefield operations.

Johns Hopkins APL and GKN Aerospace are partnering to develop a system that simulates shipboard motion for metal 3D printing at sea — advancing the Navy’s ability to produce critical parts on demand.

Objectives: To investigate the feasibility analysis of predicting the pathological differentiation grade of breast invasive ductal carcinoma based on DCE-MRI imaging histology. Methodology: 198 ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

In this tutorial, we explore LitServe, a lightweight and powerful serving framework that allows us to deploy machine learning models as APIs with minimal effort. We build and test multiple endpoints ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

Judge April M. Perry said the Trump administration had not established that sending in troops over the governor’s objection was legally justified. The government is appealing. By Mitch Smith Reporting ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Over the past few months, I have been helping data engineers, developers, and machine learning ...