Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

A California-based company is set to deliver more than 600 machine-learning infused strike drones ...

Keysight Technologies has introduced a new Machine Learning Toolkit as part of its latest Device Modelling Software Suite, aiming to reduce the time required for semiconductor device modelling and ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

Achieving precise and predictable motion remains a persistent challenge for microelectromechanical systems (MEMS), where many actuators respond ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

Scaling a business is the most exciting yet the most challenging part of entrepreneurship. Today, AI lets companies grow with data-driven insights and automatio ...

Global Cell Analyzer Market OverviewThe global cell analyzer market is poised for strong expansion, with forecasts indicating a CAGR of nearly 8% from 2025 to 2030. This growth trajectory is driven by ...