Find out how AI and natural language processing are being used in mental health research and other areas of social sciences research.
Here’s a series of interviews with the Wellcome Trust about the Mental Health Data Prize. Members of the three winning teams are discussing the prize and the transformative potential of data in mental health science. Thomas Wood at Fast Data Science talks about the Harmony project, funded by the Wellcome Trust and now by ESRC: Economic and Social Research Council.
Harmonise questionnaire items
Harmony’s team consists of Bettina Moltrecht at UCL, Eoin McElroy at Ulster University, Thomas Wood at Fast Data Science, Mauricio Scopel Hoffman at Universidade Federal de Santa Maria, John Rogers at Delosis, and Rachel Holland Gomes.
You may want to take a look at our paper recently published in BMC Psychiatry:
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Guest post by Alex Nikic In the past few years, Generative AI technology has advanced rapidly, and businesses are increasingly adopting it for a variety of tasks. While GenAI excels at tasks such as document summarisation, question answering, and content generation, it lacks the ability to provide reliable forecasts for future events. GenAI models are not designed for forecasting, and along with the tendancy to hallucinate information, the output of these models should not be trusted when planning key business decisions. For more details, a previous article on our blog explores in-depth the trade-offs of GenAI vs Traditional Machine Learning approaches.
After this ruling, will tech companies move all model training to data centres that they consider “copyright safe”? Will we see a new equivalent of a “tax haven” for training AI models on copyrighted content? An “AI haven”? This article is not legal advice.
This new video explains natural language processing: what it is, how it works, and what can it do for your organisation. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that focuses on giving computers the ability to understand human language, combining disciplines like linguistics, computer science, and engineering.
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