Machine learning boosts search for new materials
By Luke Auburn, contributing writer for Technologynetworks.com
Scientists from the University of Rochester say deep learning can supercharge a technique that is already the gold standard for characterizing new materials. In an npj Computational Materials paper, the interdisciplinary team describes models they developed to better leverage the massive amounts of data that X-ray diffraction experiments produce.
4 types of data analytics to enhance your decisions
By Liz Ticong, contributing writer for Datamation.com
Many different types of data analytics can be employed to examine raw data, big data, or statistics to uncover valuable insights that businesses can use to inform their decision-making. Each type of data analytics offers a unique perspective on your data and provides distinct insights, patterns, correlations, and trends. The four main types of data analytics are descriptive, diagnostic, predictive, and prescriptive—understanding each can help you better analyze, interpret, and leverage your data to achieve your business goals.
Navigating the future: The pivotal role of predictive analytics in shaping HR strategies
By R.P. Yadav, contributing writer for Expresscomputer.com
In the dynamic landscape of today’s business environment, organizations are continually seeking innovative approaches to enhance efficiency and optimize their operations. One crucial aspect that has garnered increasing attention is the management of the permanent workforce. As businesses evolve, so do the challenges associated with maintaining a skilled and motivated workforce. In this context, the strategic integration of predictive analytics into human resources (HR) practices emerges as a game-changer. This article explores the transformative impact of predictive analytics on shaping future HR strategies for permanent workforce management.
10 top AI and machine learning trends for 2024
By Lev Craig, contributing writer for Techtarget.com
After the launch of ChatGPT in November 2022, 2023 marked a turning point in artificial intelligence. The past year’s developments, from a vibrant open source landscape to sophisticated multimodal models, have laid the groundwork for significant advances in AI.
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