Theorem raises $6 million to use AI-powered formal verification to mathematically prove AI-generated code is safe before it's ...
Explores a six-level autonomy taxonomy for agentic AI, governance, and risk-aligned controls to safely deploy autonomous ...
According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...
Today, let's take a closer look at incident response playbooks: how to build one, tailor it for secret leaks, take actions, ...
JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
For many law firms, legal word processing is both mission-critical and chronically under-optimized. Briefs, motions, ...
Expert insights on how cyber red teaming will change more in the next 24 months than it has in the past ten years.
ZoomInfo reports a growing demand for GTM engineers, pivotal in automating revenue operations, with competitive salaries and ...
Key opportunities in the Global App Test Automation Market include leveraging AI and machine learning to enhance testing efficiency, advancing cloud-based real device testing solutions, and ...
Artificial intelligence and machine learning (AI/ML) are no longer emerging capabilities inside enterprise environments. In 2025, they became a persistent operating layer for how work gets done.
Discover 7 hidden Gmail features—confidential mode, snooze, automation, advanced search, and smart compose—to streamline ...
Sai Raghavendra Varanasi: When Code Cannot Be Trusted: The Rise Of Self-Verifying Deployment Systems
This is where Sai Raghavendra Varanasi has focused his innovation: building delivery systems that do not simply push changes ...
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