The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...

For years, quantum computing sat at the far edge of most strategic roadmaps—important someday, but not urgent now. In 2025, that excuse is gone. Breakthroughs on four separate fronts—bigger and better ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

DeepMind says that AlphaEvolve has helped to improve the design of AI chips. Google DeepMind has used chatbot models to come up with solutions to major problems in mathematics and computer science.

Google DeepMind has used chatbot models to come up with solutions to major problems in mathematics and computer science. The system, called AlphaEvolve, combines the creativity of a large language ...

Google DeepMind has unveiled AlphaEvolve, an advanced AI agent leveraging its Gemini models to autonomously discover and optimize complex algorithms. This system is engineered to address fundamental ...

Abstract: Escape routing is a critical problem in PCB routing, and its quality dramatically affects the cost of the PCB design. Unlike the traditional escape routing that works mainly for the BGA with ...