A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Optimizing Your LinkedIn Profile for Element Materials Technology So, you’re looking to make a splash at Element ...

Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Specification by Example is an agile approach to delivering software where the requirements are defined as executable specifications. Teams identify the scope of the work and illustrate the intended ...

To test the models, it is important to input the same number of time steps used during training. The sampling routine can be different, and additionally the test_type argument can be used to specify ...

An intelligent AI agent that automatically generates comprehensive test data payloads from API schemas (Swagger/OpenAPI). This tool helps developers and QA engineers quickly create realistic test data ...

Experts say the leaks highlight how fast-growing AI firms may be prioritizing innovation over basic DevSecOps hygiene, leaving valuable intellectual property and data at risk. Nearly two-thirds of the ...