Digital twins, artificial intelligence, and machine learning technology to identify a real personalized motion axis of the tibiotalar joint for robotics in total ankle arthroplasty

2021 ◽  
Author(s):  
Philippe Hernigou ◽  
Romain Olejnik ◽  
Adonis Safar ◽  
Sagi Martinov ◽  
Jacques Hernigou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Total Ankle Arthroplasty ◽  
Learning Technology ◽  
Tibiotalar Joint ◽  
Ankle Arthroplasty ◽  
Digital Twins

Evaluation of maker space index system based on machine learning and intelligent interactive system

2020 ◽  
Vol 39 (4) ◽  
pp. 5941-5952
Author(s):  
Yang Chunhe
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Index System ◽  
Evaluation System ◽  
Learning System ◽  
Interactive System ◽  
Learning Technology ◽  
Integrated Learning System ◽  
Performance Evaluation System ◽  
Innovation Space

Machine learning technology is the core of artificial intelligence and the basis of computer intelligence. In recent years, machine learning technology has integrated and developed different learning methods, and the research of integrated learning system with more flexible and efficient form is also emerging. In this paper, the authors analyze the maker space index system based on machine learning and intelligent interactive system. As a comprehensive innovation and entrepreneurship platform, mass innovation space has the characteristics of both existing entrepreneurship service system and knowledge innovation driven. Through the index score calculation, the related evaluation system is constructed, the final score of social support system is 61.4.Multi-factor performance evaluation system based on machine learning and artificial intelligence,this paper reveals the development and change law of maker space, and provides theoretical basis for the future operation and decision-making of maker space.

scholarly journals Ai and Ml Based Google Assistant for an Organization using Google Cloud Platform and Dialogflow

2020 ◽  
Vol 8 (5) ◽  
pp. 2722-2727
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Natural Language ◽  
Language Processing ◽  
User Interaction ◽  
Machine Learning Algorithms ◽  
Learning Technology ◽  
Cloud Platform ◽  
Organization Process ◽  
Academic Information

Many people adopting Smart Assistant Devices such as Google Home. Now a days of solely engaging with a service through a keyboard are over. The new modes of user interaction are aided in part by this research will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services. In particular, it will look at the development of google assistants as a channel for information distribution. This project is aimed to implement an android-based chatbot to assist with Organization basic processes, using google tools such as Dialogflow that uses Natural language processing NLP, Actions on Google and Google Cloud Platform that expose artificial intelligence and Machine Learning methods such as natural language understanding. Allowing users to interact with the google assistant using natural language as input and to train the chatbot i.e. google assistant using Dialogflow Machine learning tool and some appropriate methods so it will be able to generate a dynamic response. The chatbot will allow users to view all their personal academic information, schedule meetings with higher officials, automating the organization process and organization resources information all from within the chatbot i.e. Google Assistant. This project uses the OAuth authentication for security purpose. The Dialogflow helps to understand the users query by using machine learning algorithms. By using this google assistant we are going to use the Cloud Vision API for advancement. We will use Dialogflow as key part to develop Google assistant.

APPLICATION OF DEEP LEARNING IN MEDICAL IMAGING

2020 ◽  
Vol 03 (04) ◽  
pp. 7-13
Author(s):  
Elcin Nizami Huseyn ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Deep Learning ◽  
Medical Imaging ◽  
Key Words ◽  
Learning Technology ◽  
Application Research ◽  
Imaging Diagnosis ◽  
Experience Machine

Medical imaging technology plays an important role in the detection, diagnosis and treatment of diseases. Due to the instability of human expert experience, machine learning technology is expected to assist researchers and physicians to improve the accuracy of imaging diagnosis and reduce the imbalance of medical resources. This article systematically summarizes some methods of deep learning technology, introduces the application research of deep learning technology in medical imaging, and discusses the limitations of deep learning technology in medical imaging. Key words: Artificial Intelligence, Deep Learning, Medical Imaging, big data

Artificial intelligence, the brain, and our society

2019 ◽  
pp. 233-242
Author(s):  
Thomas P. Trappenberg
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Intelligence ◽  
Learning Technology ◽  
Learning Models ◽  
The Impact ◽  
The Brain ◽  
Machine Learning Models

The concluding chapter is a brief venture into a more general discussion of machine learning, how it relates to artificial intelligence (AI), and the recent impact of this on society. It starts by discussing the relations of machine learning models in relation to the brain and human intelligence. The discussion then moves to the relation between machine learning and AI. While they are now often equated, it is useful to highlight some possible sources of misconceptions. It closes with some brief thought on the impact of machine learning technology our society.

scholarly journals Artificial Intelligence Machine Learning in Marine Hydrodynamics

2018 ◽  
Author(s):  
Paul D. Sclavounos ◽  
Yu Ma
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Nonlinear Dependence ◽  
Support Vector ◽  
Learning Technology ◽  
Marine Hydrodynamics ◽  
Explanatory Variables ◽  
Key Innovation ◽  
Wide Range ◽  
Decay Tests

Artificial Intelligence (AI) Support Vector Machine (SVM) learning algorithms have enjoyed rapid growth in recent years with applications in a wide range of disciplines often with impressive results. The present paper introduces this machine learning technology to the field of marine hydrodynamics for the study of complex potential and viscous flow problems. Examples considered include the forecasting of the seastate elevations and vessel responses using their past time records as “explanatory variables” or “features” and the development of a nonlinear model for the roll restoring, added moment of inertia and viscous damping using the vessel response kinematics from free decay tests as “features”. A key innovation of AI-SVM kernel algorithms is that the nonlinear dependence of the dependent variable on the “features” is embedded into the SVM kernel and its selection plays a key role in the performance of the algorithms. The kernel selection is discussed and its relation to the physics of the marine hydrodynamic flows considered in the present paper is addressed.

Conscious Mind, Resonant Brain

2021 ◽  
Author(s):  
Stephen Grossberg
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Large Scale ◽  
Neural Circuits ◽  
Physical World ◽  
Brain Regions ◽  
Human Condition ◽  
Learning Technology ◽  
Large Scale Problems ◽  
The World

The book is the culmination of 50 years of intensive research by the author, who is broadly acknowledged to be the most important pioneer and current research leader who models how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. The book provides a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. It hereby embodies a revolutionary Principia of Mind that clarifies how autonomous adaptive intelligence is achieved, thereby providing mechanistic explanations of multiple mental disorders, biological bases of morality, religion, and the human condition, as well as solutions to large-scale problems in machine learning, technology, and Artificial Intelligence. Because brains embody a universal developmental code, unifying insights also emerge about all living cellular tissues and about how mental laws reflect laws of the physical world.

Machine Learning Technology Overview In Terms Of Digital Marketing And Personalization

2021 ◽  
Author(s):  
Anna Nikolajeva ◽  
Artis Teilans
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Training Data ◽  
Digital Marketing ◽  
Learning Technology ◽  
Estimation Problems ◽  
Artificial Intelligence Technology

The research is dedicated to artificial intelligence technology usage in digital marketing personalization. The doctoral theses will aim to create a machine learning algorithm that will increase sales by personalized marketing in electronic commerce website. Machine learning algorithms can be used to find the unobservable probability density function in density estimation problems. Learning algorithms learn on their own based on previous experience and generate their sequences of learning experiences, to acquire new skills through self-guided exploration and social interaction with humans. An entirely personalized advertising experience can be a reality in the nearby future using learning algorithms with training data and new behaviour patterns appearance using unsupervised learning algorithms. Artificial intelligence technology will create website specific adverts in all sales funnels individually.

scholarly journals ARTIFICIAL INTELLIGENCE FOR EARLY DETECTION AND MANAGEMENT OF MUSCULOSKELETAL COMPLICATIONS POST HEMATOPOIETIC CELL TRANSPLANT. FUTURE PERSPECTIVES

2021 ◽  
Vol 37 (37) ◽  
pp. 17-24
Author(s):  
Jaleel Mohammed ◽  
Jayanti Rai ◽  
Hadeel Bakhsh ◽  
Julie Hobbs ◽  
Shahrukh Hashmi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Early Detection ◽  
Disease Progression ◽  
Drug Prescription ◽  
Machine Learning Algorithms ◽  
Hematopoietic Cell ◽  
Learning Technology ◽  
Cell Transplant ◽  
Hematopoietic Cell Transplant

Introduction To help monitor and manage complications, monitor disease progression, and help lower morbidity and mortality rates in Hematopoietic cell transplant (HCT) patients, the use of artificial intelligence technology can prove to be an efficient tool. Aim We propose a futuristic vision of an artificial intelligence model which could help in early detection of MSK related complications, improve communication between HCT healthcare professional team, improve diagnostics via machine learning (ML), help monitor symptom/ disease progression remotely, and help integrate services for a more patient-friendly service delivery, i.e., drug prescription, exercise prescription, appointment tracking, referral pathways. Materials and methods The proposed model is a three-phase integrated program where musculoskeletal physical examination is combined with wearable textiles interface platform and machine learning algorithms, thereby providing live and remote feedback of changes as they happen in at the musculoskeletal and vital signs level. Result With the help of machine learning technology, various algorithms can be created to help improve remote and live diagnostic accuracy of post-HCT musculoskeletal manifestations. Subtle changes over the course of time in various patient groups can be detected at the skin, fascia, muscle, bone level; thereby helping in better understanding of the disease and its management.

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