Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Enables enterprises to move AI initiatives from pilot to production, eliminating months of custom integration work Workato (R), the leader in Enterprise Model Context Protocol (MCP), today announced ...

Proper use of AI and automation tools can transform tax time into a continuous, integrated, year-round process rather than a ...

Should the United States buy more destroyers, or would the money be better spent developing bases, munitions, or software?

Reading an Arabic newspaper, a book, or academic prose fluently, whether digital or in print, remains challenging for many ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.

Abstract: Data-driven techniques are reshaping blast furnace iron-making process (BFIP) modeling, but their “black-box” nature often obscures interpretability and accuracy. To overcome these ...