Choosing an AI model to use means making a call between different ecosystems and tools based on issues of data, privacy, cost ...

New guidance has been issued for European data watchdogs on the use of personal data for the development and deployment of artificial intelligence (AI) models. The European Data Protection Board (EDPB ...

AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

For decades, whether someone could secure a loan often came down to a single number: their credit score. Today, that reality ...

In this regard, Microsoft Research Asia has proposed a novel paradigm for organizing text data called DELT (Data Efficacy in LM Training). By introducing data sorting strategies, it fully taps into ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

In the era of precision oncology, the integration of high-throughput, multimodal datasets presents both a formidable challenge and a transformative opportunity. From genomic and pharmacological ...

Cost and profitability management is at the heart of business decision-making and effective strategy. There are many factors ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...