Remove 2017 Remove Artificial Intelligence Remove Support Vector Machines
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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

That’s great news for researchers who often work on SLRs because the traditional process is mind-numbingly slow: An analysis from 2017 found that SLRs take, on average, 67 weeks to produce. This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI).

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From Rulesets to Transformers: A Journey Through the Evolution of SOTA in NLP

Mlearning.ai

What is Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with interactions between computers and human languages. The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

Further, significant health technology, digital technology, and artificial intelligence (AI) investments are needed to bridge the health service gap in emerging markets. Deep neural networks and support vector machines are being explored in developing pre-diabetic screening tools. And that’s exactly what I do.