Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...
Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF
Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...
Server hardware and software co-design for a secure, efficient cloud.
Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...
Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.
Americans are living in parallel AI universes. For much of the country, AI has come to mean ChatGPT, Google’s AI overviews, ...
EVMbench is OpenAI’s attempt to see whether modern AI systems are up to the task of helping prevent smart contract issues.
Cryptopolitan on MSN
AI agents review smart contracts to identify and fix security issues that lead to crypto losses
AI agents are now being tested against real smart contract vulnerabilities after $3.4 billion was lost to crypto hacks in 2025 ...
Over the past decade, managers have awakened to the power of analytics. Sophisticated computers and software have given companies access to immense troves of data: According to one estimate, ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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