Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Optimization and architecture definition in chip design is important, but there's a downside to too much customization.

Claude's latest AI tools transform document creation and editing by allowing you to make changes to files without even ...

Embrace city science as a vital partner in architecture, merging creativity with data to build resilient and equitable urban ...

Geedge Networks, a company with ties to the founder of China’s mass censorship infrastructure, is selling its censorship and ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

Abstract: Knowledge graph embedding is an effective way to represent knowledge graph, which greatly enhance the performances on knowledge graph completion tasks, e.g., entity or relation prediction.

Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to ...

As urbanisation and industrial activity continue to expand, noise and vibration pollution are becoming increasingly critical ...

Margin crypto trading is a powerful instrument that can turn small sums of money into colossal wealth but also a vehicle to ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration ...

Gamez, a gynecologic oncologist at the Mayo Clinic in Minnesota, has revealed the four subtle symptoms of a 'silent' cancer ...