Variable refrigerant flow (VRF) systems are widely used in commercial, educational and institutional settings for their energy efficiency, zoning flexibility and design adaptability. They are a strong ...

Over the years, I’ve seen quality engineering evolve steadily—from manual testing to automation and then into DevOps-driven continuous testing. Each transition worked because one assumption always ...

Building a production-ready design system with AI provides a structured approach to creating scalable and consistent user interfaces while minimizing repetitive tasks. As explained by AI Builder Space ...

Abstract: The purposes of this study are to merge Artificial Intelligence (AI) and Machine Learning (ML) technologies with the VLSI system design and embedded architectures to reduce the challenges of ...

The second trend is automated machine learning. Systems now exist that can design architectures, tune hyperparameters, generate training pipelines, and even propose new algorithms with minimal human ...

Ride-sharing platforms have transformed urban mobility but continue to face persistent challenges related to high commission structures, algorithmic opacity, regulatory fragmentation, and limited ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

Imec is a world-leading research and innovation hub in advanced semiconductor technologies. Leveraging its state-of-the-art R&D infrastructure and the expertise of over 6,500 employees, imec drives ...

Imec presents the first comprehensive thermal study of 3D HBM-on-GPU integration using a system-technology co-optimization (STCO) approach. The study allows to identify and mitigate thermal ...

Holistic system-technology co-optimization (STCO) approach key in reducing peak GPU and HBM temperatures under AI workloads while enhancing performance density of future GPU-based architectures Imec ...