AI in business and industry Artificial intelligence (AI) is a hot topic in business, but many companies are unsure how to leverage it effectively.
Modelling risk and cost in clinical trials with NLP Fast Data Science’s Clinical Trial Risk Tool Clinical trials are a vital part of bringing new drugs to market, but planning and running them can be a complex and expensive process.
In natural language processing, we have the concept of word vector embeddings and sentence embeddings. This is a vector, typically hundreds of numbers, which represents the meaning of a word or sentence.
We often hear about the potential for AI in healthcare, or how it could transform organisations like the UK’s National Health Service.
Large Language Models and NLP: Overview AI has seen remarkable advancements in recent years and one of its most notable ones is the development of LLMs or large language models.
Above: video of Thomas Wood presenting Harmony at the AICamp meetup on 27 March 2024 Tech Talk at the AICamp AI Meetup (London) on AI, Generative AI and Large Language Models (LLMs) Update: you can download the slides from the presentation here
How NLP Enhances Healthcare Delivery and Operations (+ 8 NLP Strategies and 8 Applications) Natural Language Processing (NLP) in healthcare is just what the industry needs.
Natural language processing (NLP) is revolutionising how businesses interact with information. But large language models, or LLMs (also known as generative models or GenAI) can sometimes struggle with factual accuracy and keeping up with real-time information.
The AI ethics debate: does generative AI harm creative industries? What role will AI play in creative industries in the future?
Fast Clinical AI We are developing a natural language processing (NLP) tool, Fast Clinical AI, for identifying risk, cost, recruitment and enrolment criteria, and consent complexities of clinical trials using natural language processing, which can be integrated to data sources from trial management platforms, allowing pharma companies to leverage AI in their operations.
In 2016, the British computer scientist and Turing Award winner Geoffrey Hinton stated: We should stop training radiologists now. It’s just completely obvious that within five years, deep learning is going to do better than radiologists.
Some finance companies have contacted Fast Data Science with a need for a very customised named entity recognition solution. Clients prepare lists of investments which could be funds or companies, and request a check on those companies.
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