- Oxford Computational Neuroscience Research Group
An article in Le Point (Mars...and beyond,15/02/2018) includes comment from Professor Newton Howard. He said: 'Elon Musk promises in his implants a goal to increase the human, thanks to artificial intelligence, whereas our solution will serve only to cure diseases'.
DM, PhD, DPhil, HDR, MA, CO
Professor of Computational Neurosciences and Neurosurgery
- Chairman, Brain Sciences Foundation
- Director, Synthetic Intelligence Laboratory, MIT
- Founder, Mind Machine Project, MIT
- Habilitation a Diriger des Recherches, Paris Sorbonne / INSERM
- Scientist, MIT
- Editorial Board, Big Data Analytics Journal and Cognitive Computing Journal springer publishers
- Founder and Chairman, Center for Advanced Defense Studies
Dr Newton Howard is the Chairman of the Brain Sciences Foundation and currently serves as Associate Professor of Computational Neuroscience and Functional Neurosurgery at the University of Oxford, where he manages the newly-formed Computational Neuroscience Lab. He is also the Director of the Synthetic Intelligence Laboratory at MIT, where he had served as the Founder and Director of the MIT Mind Machine Project from 2008 to 2012.
Dr Howard is an active member of several research laboratories worldwide, including the Descartes Institute, the Brain Physics Group and INSERM, in Paris.
Dr Howard has been involved in a wide range of research, spanning academic, military and commercial domains. His work is presently focused on understanding how the endogenous processes within the human brain produce consciousness, thought and language, with the objective of providing methods of early detection and advanced treatment of neurological disorders such as Alzheimer’s Disease (AD), Parkinson’s Disease (PD), Post Traumatic Stress Disorder (PTSD), depression, epilepsy and diabetes.
Dr Howard has made several significant contributions to the fields of neuroscience, linguistics and national defense, including the Physics of Cognition (a mathematical framework for modeling complex medical, economic and security equilibriums), Intention Awareness (a theory for predictive modeling of naturalistic systems), Mood State Indicators (an algorithm to model mental processes involved in human speech to predict emotional states), ADAMA (a method of autonomously identifying and contextually understanding metaphors in language), the Functional Code Unit (a method for translating neurological signaling to logical data structures) and most recently, the Brain Code (a multivariate analytical model designed to extract emergent properties of the brain’s neuronal system).
His theory of Intention Awareness has made a significant impact on the design of military command and control systems as well as information exchange systems used at tactical, operational and strategic levels and provides a model for explaining volition in human intelligence. His work has contributed to more than 30 U.S. patents and over 40 publications in the areas of cognitive and computational theory, and has garnered him several awards and honors, including a nomination to the White House fellowship.
The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry
Howard N. and Hussain A., (2018), Cognitive Computation, 1 - 11
Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods.
Kong X. et al, (2018), EBioMedicine, 27, 94 - 102
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
Poria S. et al, (2017), Neurocomputing, 261, 217 - 230
The embodiment of connotations: A proposed model
Neuman Y. et al, (2017), Semiotica, 2017, 65 - 79
Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering
Wang Y. et al, (2017), International Journal of Cognitive Informatics and Natural Intelligence, 11, 1 - 15