Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...
At many organizations, I've observed, research and development (R&D) is often viewed as the driver of discovery and competitiveness. Many organizations do heavily invest in scientific talent and ...
What can we learn from a Pompeii construction site preserved in ash? Plus, tech companies look to build solar-powered data ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
Dataiku, the maker of the enterprise-grade platform for data teams, Dataiku Data Science Studio (DSS), has announced the release of Dataiku DSS 4.0, which introduces new functionalities that improve ...
The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...
Open data must transition to decentralized infrastructure to realize its full potential and reap the benefits of affordable LLM training, accessible research data sharing and unstoppable DApp hosting.
The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...
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