Unstructured Data in Healthcare with NLP Introduction In today’s digital healthcare landscape, data plays a pivotal role. However, while medical records, patient feedback, and clinical research generate vast amounts of information, not all of it is easy to manage or analyze. In fact, the majority of this data is unstructured, making it difficult for traditional tools to process effectively.
Fine tuning a large language model refers to taking a model that has already been developed, and training it on more data. It’s a way of leveraging the work that has already gone into developing the original model. Fine tuning is often used to adapt a generalist model for a more specific domain, such as mental health, legal, or healthcare, and in this case it’s also referred to as “transfer learning”.
Artificial intelligence (AI) is no longer the future; it is the present. AI is transforming industries, automating processes, and offering valuable insights. However, integrating AI into business operations isn’t always straightforward. This is where AI consultancy steps in, providing the expertise necessary to navigate the complexities of AI adoption.
AI Companies Revolutionizing the Pharma Industry Artificial intelligence (AI) has emerged as a transformative force in the pharmaceutical industry. By accelerating drug discovery, optimizing clinical trials, and enabling precision medicine, AI is revolutionizing how treatments are developed and delivered. With the ability to analyze enormous datasets and simulate biological processes, AI-driven solutions are shortening the time from research to market while improving accuracy. In this blog, we explore the companies leading the way in AI-powered drug development, their notable projects, and how AI is reshaping the future of healthcare.
Tech Talk at the AI|DL AI Meetup (London) Artificial Intelligence and Deep Learning for Enterprise In case you missed the talk about Harmony on Tuesday at Civo Tech Junction with AI and Deep Learning for Enterprise sponsored by Daemon, you can now watch the recording of the live stream on AI|DL’s channel.
Find out how AI and natural language processing are being used in mental health research and other areas of social sciences research.
MethodsCon in Manchester We will be at MethodsCon: Futures in Manchester, run by the National Centre for Research Methods on 11 and 12 September 2024 to present Harmony, the NLP and AI tool we have been developing for researchers in social science, funded by Wellcome and the Economic and Social Research Council. The events take place at The Edwardian Manchester.
Fast Data Science updates Drug Named Entity Recognition Python library We’re excited to announce a major update to our popular Drug Named Entity Recognition (NER) Python library! This new version (v2.0.0) brings several improvements to make finding drug information in text (named entity recognition) even easier and more accurate.
Investment advice with AI Introduction Artificial intelligence (AI) is not just a buzzword; it’s a transformative force reshaping various industries, with finance and investment standing at the forefront of this revolution. The application of AI in investment strategies is ushering in a new era of precision, speed, and predictive power, enabling investors to make more informed decisions with unprecedented efficiency. From robo-advisors that provide personalized investment advice to sophisticated algorithms that predict market trends, AI is becoming an indispensable tool for both individual investors and large financial institutions. However, the rapid advancements in AI technology bring both opportunities and challenges. Investors must navigate a landscape that is continually evolving, with AI systems that can be as complex as they are powerful. Understanding how to leverage these technologies effectively is crucial for staying ahead in the competitive world of finance. This blog will delve into the current state of AI in the investment sector, exploring the myriad benefits it offers, the inherent risks involved, and providing practical advice for those looking to harness the power of AI in their investment strategies.
Large language models and neural networks are powerful tools in natural language processing. These models let us achieve near human-level comprehension of complex documents, picking up nuance and improving efficiency across organisations.
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