Abstract: Compared to traditional mass production, customized discrete manufacturing—such as furniture panel production—generates massive, heterogeneous, and highly dynamic data throughout its ...

DeepSeek says both models are more efficient and performant than DeepSeek V3.2 due to architectural improvements, and have ...

Abstract: The challenge of knowledge graph construction from unstructured text is a fundamental challenge in knowledge representation, especially in cases of informal text and narrative, such as that ...

Microsoft Corp. aims to develop large, cutting-edge artificial intelligence models by next year, part of a push to build in-house alternatives to the most powerful AI tools from OpenAI and Anthropic. ...

WASHINGTON, March 27 (Reuters) - California Governor Gavin Newsom on Friday issued an executive order barring state officials from using ‌insider knowledge to bet on prediction markets like Polymarket ...

Artificial intelligence systems have long struggled with a limitation known as catastrophic forgetting, where learning new tasks causes models to lose previously acquired knowledge. This issue has ...

Have you ever gone to sleep with visions of gelatin bubbles dancing in your head? What about information on 70 million financial securities and 40,000 data fields? Marvin Ward knows what both are like ...

The currents of the oceans, the roiling surface of the sun and the clouds of smoke billowing off a forest fire—all are governed by the same laws of physics, and give rise to a complex phenomenon known ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

Over the past year, the conversation around artificial intelligence (AI) has shifted. After a period of rapid progress, many teams deploying large language models (LLMs) are encountering familiar ...