In the light of the ongoing climate crisis, let’s talk about the carbon footprint of artificial intelligence. The everyday internet user might find it hard to fathom the fact that using ChatGPT or watching YouTube-recommended videos might generate greenhouse emissions. And, understandably, they could be least concerned about “Green AI” or “Environmental AI” when using these technologies. But for researchers and data scientists, the carbon footprint created as a result of the machines, computers, and digital devices being powered by machine learning (ML) – is a growing concern, especially as global climatic change continues to escalate.
Image from: harmonydata.ac.uk “Thinking too much” I have been working on the development of Harmony, a tool to help psychology researchers harmonise questionnaire items in plain text across languages so that they can combine datasets from disparate sources. One of the challenges put to us by Wellcome, the funders of the mental health data prize research grant for Harmony, was how well does Harmony handle culture-specific concepts? There is an idea in psychology of “cultural concepts of distress”, which is the idea that some mental health disorders manifest themselves in a particular way in different cultures.
Insolvency bot, taking into account some statute law and some forms and some case law We have developed a bot using natural language processing to demonstrate the power of legal AI and legal NLP.
On 7 June, 2023, at 6pm UK time (1pm EDT), we will be presenting in the webinar Dash in Action: Image Processing, Forecasting, NLP. This is a community showcase hosted by Plotly, a company in Canada which makes the graphing software Plotly.
We’re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 amazing apps submitted by the community!
Our NLP research has been published in Gates Open Research! Clinical trials are the backbone of medical progress, but a worrying trend is emerging: a large portion end without delivering useful results. This “uninformativeness” wastes valuable resources and delays advancements.
Read more about AI for business on fastdatascience.com
I’m sure you will have seen news articles and social media posts about the recent generation of language models which are able to generate human-like text. For example, I’ve seen claims that OpenAI’s GPT-3 or ChatGPT can write essays, YouTube scripts or blog posts, and even sit a bar exam.
What are artificial neural networks and how do they learn? What do we use them for? What are some examples of artificial neural networks? How do we use neural networks?
We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively. Get in touch with us if you need custom AI strategy consulting for healthcare.
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