This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

AI-native platform adds enterprise SSO capabilities across 25+ identity providers to existing authentication infrastructure without migration. SAN FRANCISCO, CA, UNITED STATES, Ma ...

Hackers are increasingly exploiting newly disclosed vulnerabilities in third-party software to gain initial access to cloud environments, with the window for attacks shrinking from weeks to just days.

Cucumber is the massive engine running Gherkin-formatted tests. For each Gherkin step, there is a step definition in a programming language (Java, JavaScript, Python). When the test is executed, ...

The Claude API can automate customer support, document processing, and content workflows at scale. Here's how businesses are actually using it in 2026 — with real examples.

Red Hat's Ansible automation platform evolves for agentic AI with ephemeral MCP servers, expanded Lightspeed AI capabilities, and workflow tools.

Robots have left the pilot corner. They now haul totes, lift pallets, and pace beside pickers across full distribution centers. Software—not hardware—decides whether that investment pays off.

As AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.

From chips and power to models and industrial deployment, global countries are positioned to capture unique value in different layers of the AI stack. Read more here.