New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...

CardSight AI Completes Coverage of All Four Major Sports with Hockey Card Identification Launch

Platform delivers on Q1 promise; enhanced MCP server brings full trading card data access to AI assistants and builders ...
InfoWorld

Visualizing the world with Planetary Computer

Microsoft’s geospatial data service is designed to help research projects using public satellite and sensor information.
IEEE

CoWAR: A General Complementary Web API Recommendation Framework based on Learning Model

Abstract: With the rapid advancement of service computing technologies, the proliferation of Web APIs on the Internet has increased exponentially. However, selecting the most suitable APIs for Mashup ...
IEEE

Machine Learning-Based API Framework for Adaptive Programming Learning Using Educational Programming Features

This paper presents a machine learning-based API framework for adaptive programming learning. The system evaluates learner performance using source code metrics (e.g., Lines of Code, Cyclomatic ...
GitHub

fferreyra65/Flask_ML_API

We make use of multi-stage docker builds so we can have into the same Dockerfile environments for testing and also for deploying our service.