Semiconductor Engineering

LLM-based Agentic Framework Automating HW Security Threat Modeling And Test Plan Generation (U. of Florida)

A new technical paper titled “ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification” was published by researchers at University of Florida. “Current ...

Testing the Unpredictable: Strategies for AI-Infused Applications

A recent SD Times Live! Supercast shed light on practical solutions to stabilize the testing environment for dynamic AI applications.
Communications of the ACM

LLM Evaluation is Key to Accurate, Reliable, Effective GenAI

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
Nature

Software Testing and Test Data Generation Using Evolutionary Algorithms

Software testing is an essential component in ensuring the reliability and efficiency of modern software systems. In recent years, evolutionary algorithms have emerged as a robust framework for ...
The Hamilton Spectator

TestMu AI Launches Conversation and Memory Layers to Enhance AI Test Case Generation

Noida/ San Francisco, Feb. 17, 2026 (GLOBE NEWSWIRE) -- TestMu AI (Formerly LambdaTest), the world's first full-stack Agentic AI Quality Engineering platform, today announced the launch of two major ...
MobiHealthNews

Study: Google reveals LLM that helps accurately diagnosis complex cases

A study done by Google Research in collaboration with Google DeepMind reveals the tech giant developed an LLM with conversational and collaborative capabilities that can provide an accurate ...
Crowdfund Insider

BNP Paribas Provides LLM as a Service Platform to Enable Industrialization of Gen AI Use-Cases

To facilitate the development and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. Operated by the ...