The ABCs of AI to better understand data
ALIA SANTé
Understanding how our AIs work also means understanding everything that surrounds them.
Alia Santé is all about transparency, so we tell you a little more with the ABCs of AI!
Reading time: 4 minutes
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Algorithm :
An algorithm is a set of instructions and calculation rules that must be carried out in order to solve a problem.
Gradient Descent algorithm :
Gradient Descent is an optimization algorithm whose aim is to minimize a convex function. It is iterative and converges progressively.
Semantic analysis (document similarity) :
Semantic Analysis is the analysis of text elements not by syntax and grammatical forms, but by meaning.
API :
API stands for “Application Programming Interface” and corresponds to an interface that “connects” two software programs in order to exchange data or information.
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CamemBERT:
This is an artificial intelligence algorithm for vectorizing words for semantic analysis.
Clustering :
Clustering is a Machine Learning technique designed to group data into homogeneous groups with similar characteristics.
Computer Vision :
Computer Vision is an artificial intelligence technique designed to analyze images or videos in the same way as a human would.
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Data Visualization :
Data Visualization (or “dataviz”) is the set of techniques used to visualize data in graphical form. It enables better quantitative and qualitative analysis of data sets, and highlights the links between data.
Deep learning :
Deep learning is a machine learning technique based on the use of neural networks.
Driverless :
Driverless AI ensures that artificial intelligence is autonomous, scalable and personalized to the user.
Dicom viewer :
The dicom viewer is an image-reading software dedicated to medical staff.
Translated with DeepL.com (free version)
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Explainable AI (XAI):
The term “explainable AI” or “interpretable AI” means that humans are able to understand and explain the path taken by an artificial intelligence to make a decision.
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AMI:
Medical Artificial Intelligence is the new model that will revolutionize the world of healthcare by contracting medicine, algorithm, progress and science.
Artificial Intelligence:
Artificial Intelligence is the set of techniques and theories designed to understand and reproduce human intelligence.
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Machine Learning:
Machine Learning is a sub-category of artificial intelligence, enabling machines to learn on their own without having been programmed beforehand. Machine Learning uses data to learn and develop.
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NLP :
Natural Language Processing enables machines to process the human voice, i.e. to understand, interpret and manipulate it.
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Python:
Python is the most widely used programming language in the world of data science. It’s a versatile language that can be used in a wide variety of contexts, thanks to the wide range of libraries available.
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Reinforcement learning :
Reinforcement Learning is a machine learning technique that lets the machine learn to choose which action to take autonomously. The agent learns by being rewarded or penalized for its actions.
Convolutional neural networks (CNN) :
A convolutional neural network is a special case of artificial neural networks. This network is characterized by its first convolutional layers, which apply convolutional filtering to the input. This neural network architecture is often used for image or video recognition.
Recurrent neural networks (RNN) :
A recurrent neural network is a special case of artificial neural networks adapted to the processing of time series or sequential data.
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Speech-to-text :
Speech-to-text is a method of converting speech into text, as suggested by translation. Thanks to artificial intelligence, this method is becoming increasingly efficient.
SQL :
SQL or “Structured Query Language” is a programming language for database management.
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Word2vec :
Developed by Google engineers, this module improves syntactic understanding of terms. This method allows words to be represented as vectors of real numbers.
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5P :
5P medicine is the medicine of the future, based on 5 principles (preventive, predictive, participative, personalized, relevant). It can be developed and made increasingly relevant with the anchoring of AMI.
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