The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...
In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are ...
GPU-accelerated electromagnetic simulation is redefining how engineers design and validate antennas in complex, electrically ...
AWS has expanded Amazon CloudWatch to unify log management across operational and security use cases. By integrating native ...
Interactive configurators, real-time data access, RFQ automation, expert-guided product selection and error prevention are ...
If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture.
Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...
The Data Reliability Crisis—How an Indian Data Engineer is Building Reliable Enterprise Data Systems
Lakshmi Narasimha Rohit Madhukar Emani's work demonstrates how aerospace thinking, grounded in validation, optimization, and ...
The real opportunity isn’t just to speed up coding. With innovations like AI agents, the entire legacy modernization ...
AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
If your AI is stuck in demos, the problem isn’t the model — it’s that you don’t have forward-deployed engineers.
Want better roles? Pick an AI lane, learn smarter, practice daily, write stronger prompts, solve real-world problems, save wins, and stay ethical.
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