India’s engineering workforce faces a growing AI skill paradox, reveals a Scaler-CMR study. While most engineers feel ...

The Indian Institute of Technology (IIT) Delhi has announced admissions for the second batch of its Online Post Graduate ...

Great models die in deployment, so we built a golden path that turned weeks of ML friction into days — and unlocked nonstop ...

Union is the company behind Flyte, an open-source orchestration tool used to run complex machine learning and data workflows.

Global lottery provider Scientific Games has appointed Rich Wasserman as senior vice president of product engineering ...

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

Partner program empowers advisors, consultants, and technology partners to work together under a global framework built ...

According to Black Duck, supply chain governance must be modernised as rapid development from AI coding tools outpaces ...

The most obvious speed bump for autonomous vehicle makers is ensuring that they do not collide with other vehicles, people or objects. However, that is only part of autonomous vehicle safety. Just ...

Everyone says they need AI, but most aren’t ready — the hard part isn’t the model, it’s the messy middle that makes it work.

In enterprise software development, however, the story has unfolded rather differently. Rather than a loud revolution, AI is reshaping mission-critical systems through steady, disciplined integration.

From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent infrastructure powered by AI.