Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...

In just a few years, large language models (LLMs) have expanded from millions to hundreds of billions of parameters, ...

Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that ...

Historically, OpenAI primarily used Microsoft's Azure cloud to train and inference its models, as part of an early investment ...

Abstract: In the rapidly evolving landscape of wireless networks, achieving enhanced throughput with low latency for data transmission is crucial for future communication systems. While low complexity ...

Abstract: The challenge of optimal optical signal transmission in optical fiber networks is crucial for enhancing the network’s reliability, performance, and service quality. Traditional pathfinding ...