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 ...

Abstract: As multidomain networks integrate, low Earth orbit (LEO) satellite network embraces more devices with direct-to-device communication. However, the surge in devices brings heavy traffic ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

ABSTRACT: The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Even in 2025, the FBI’s Internet Crime Complaint Center (IC3) receives more than 6,000 reports of crypto scams daily. If you’re reading this, it’s likely that you or someone close to you has fallen ...