Sidekick v1.1 introduces a set of powerful enhancements designed to streamline shared task ownership, deepen contextual understanding of models, and improve participation across distributed teams.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

Organizations that build platforms that “learn before acting” will spend less time firefighting and more time shipping ...

What global companies look for in engineering teams, and how SA fits the modelIssued by KRSCape Town, 11 Feb 2026 KRS interns 2026. As global software development moves beyond one-location delivery ...

Forward deployed engineering embeds small, outcome-driven teams inside the business to align modern engineering, platform ...

The company said Cadence ChipStack AI Super Agent will help revolutionize how engineers automate chip design by improving ...

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways ...

Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...

Explore the urgent need to transform India's engineering education to meet evolving demands in the AI-driven job market.

Ramco Systems launches Chia, a no-code enterprise AI platform targeting 50%–60% ticket deflection with outcome-based pricing ...

Navigating the Complexity of Biomass Raw Materials A successful pelletization process begins with a deep understanding of the raw material. Biomass is not a monolithic category; the structural ...