A Soft Rah Rah for a Professional Publisher

December 8, 2023

This essay is the work of a dumb dinobaby. No smart software required.

Predictive modeling and other AI capabilities have the potential to greatly accelerate scientific research. But since algorithmic research assistants are only as good as their data, time spent by humans rigorously sourcing the best data can cause a bottleneck. Now, reports New Zealand’s IT Brief, “Elsevier Launches ‘Datasets’ to Assist Research with Predictive AI Models.” Journalist Catherine Knowles writes:

“Elsevier, a global expert in scientific information and analytics, has launched Datasets, a new research product to assist a range of industries including life sciences, engineering, chemicals, and energy. The product utilizes generative AI and predictive analytics technologies, addressing the frequent challenge of data scientists having to dedicate significant time to source quality data for well-trained AI models. Datasets speeds up the digital transformation process by providing comprehensive, machine-readable data derived from trusted academic sources. With the ability to be fully integrated into private and secure computational ecosystems, its implementation helps safeguard intellectual property. The product aims to accelerate innovative thinking and business-critical decision-making processes in sectors heavy in research and development. Elsevier’s Datasets have a range of potential applications. These vary from determining the appropriate material for the development of a product by accessing sources such as Elsevier’s 271 million chemical substance records, to predicting drug efficacy and toxicity using advanced neural networks. Additionally, businesses can uncover company-wide expertise in specific disciplines through Elsevier’s 1.8 billion cited references and 17 million author profiles.”

This reminds us of the Scopus upgrade we learned about over the summer, but the write-up does not mention whether the projects are connected. We do learn Datasets can be incorporated into custom applications and third-party tools. If all goes well, this could be one AI application that actually contributes to society. Imagine that.

Cynthia Murrell, December 8, 2023

Written by Stephen E. Arnold · Filed Under News, Publishing

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Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.