Deep Learning, Artificial Intelligence and Machine Learning Conference
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Deep Learning, Artificial Intelligence and Machine Learning
Deep learning, artificial intelligence and machine learning include teaching computers to perform smart tasks. Artificial Intelligence (AI) uses computer programs to analyze data, learn and decide – such as systems that identify speech or translate languages. Machine Learning (ML) is a part of AI where computer data uses algorithms to learn from patterns and make predictions or decisions without clearly programming each task. Deep learning (DL) is a type of ML that uses a layered network of simulated “neurons” (called neural networks). These networks allow machines to learn complex patterns automatically, whether from labelled datasets, unarmed data, or through feedback and rewards. Together, these technologies provide strength to many modern devices, helping computers to adapt, reason, and solve difficult tasks.
Related Sessions
1.Alzheimers and Parkinsons Diseases
2.Neuroimmunology and Neurological Infections
3 – Cognitive Neuroscience and Psychology
4 – Neuroinformatics and Computational Neuroscience
5 – Neurological Disorders
6 – Neurobiology
7 – Molecular Neuroscience
8 – Pediatric Neurology
9 – Clinical Neurology
10 – Translational Neurology
11 – Neurogenetics
12 – Neurodegenerative Diseases
13 – Neuropsychiatry
14 – Neuroscience Research
15 – Neuropharmacology and Novel Drug Development
16 – Neurological Interventions and Surgery
17 – Artificial Intelligence in Neurology and Neurosurgery
18 – Neuro-ophthalmology and Auditory Neurology
19 – Aging and Neurology
20 – Brain Tumors and Neuro-Oncology
21 – Stroke Diagnosis and Management
22 – Epilepsy and Seizure Disorders
23 – Psychiatric and Behavioral Disorders
24 – Neurovascular Disorders
25 – Neurology and Systemic Disorders
26 – Neurodevelopmental Disorders
27 – Cognitive and Memory Disorders
28 – Neuroinflammation and Brain Disorders
29 – Neurological Rehabilitation
31 – Trauma and Neurocritical Care
33 – Cellular and Systems Neuroscience
35 – Advances in Neuroimaging Techniques
37 – Rare and Complex Brain Disorders
30 – Global Challenges and Public Health
32 – Neurotoxicology
34 – Behavioral Neuroscience and Social Neuroscience
36 – Addiction and Mental Health
Scientific Program
Keynote Speaker - Dr. Zhenhuan LIU (Oral Presentation - In-Person)
Nanhai Maternity and Children Hospital Affiliated to Guangzhou University of Chinese Medicine, China
Keynote Speaker - Dr. Magda Tsolaki - Oral Presentation (Virtual)
Emeritus Professor of Neurology, Aristotle Univesrsity of Thessaloniki, Makedonia, Greece, Chair of the Greek Federation of Alzheimer’s Disease
Keynote Speaker - Dr. Tatsuro Mutoh, MD, PhD, FAAN - Oral Presentation (In-Person)
Department of Neurology, Fujita Health University Hospital, Toyoake, Aichi, Japan
Scientific Program
Keynote Speaker - Dr. Zhenhuan LIU (Oral Presentation - In-Person)
Nanhai Maternity and Children Hospital Affiliated to Guangzhou University of Chinese Medicine, China
Keynote Speaker - Dr. Magda Tsolaki - Oral Presentation (Virtual)
Emeritus Professor of Neurology, Aristotle Univesrsity of Thessaloniki, Makedonia, Greece, Chair of the Greek Federation of Alzheimer’s Disease
Keynote Speaker - Dr. Tatsuro Mutoh, MD, PhD, FAAN - Oral Presentation (In-Person)
Department of Neurology, Fujita Health University Hospital, Toyoake, Aichi, Japan
Committee Members
Kenneth B Storey
Carleton University, Canada
Kindy Mark
University of South Florida, United
Thomas J Webster
Interstellar Therapeutics, United States
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