AI News, Dr. Hava Siegelmann

Dr. Hava Siegelmann

Dr. Hava Siegelmann Microsystems Technology Office (MTO) Program Manager Dr. Hava Siegelmann joined DARPA in July 2016 with the goal of developing programs that advance intelligence in computerized devices, focusing on life-long learning, context-aware adaptivity, and user-centered applications.

Dr. Siegelmann’s mathematical and computational studies of the brain, somatic cells, cognition, and intelligence depend on a multi-disciplinary approach that combines complexity science, information and learning theories, computational simulations, biology, and neural networks.

One of her research goals involves further investigation of how an underlying architecture brings about the dynamics that evolve into intelligent behavior and how behavioral feedback from the dynamics proceeds toward adaptation in the architecture.

She also created a sub-field of computation with her discovery of Super-Turing computation theory, which continues to spawn innovations in both computational methods and the interpretation of cognitive, biological, and physical processes.

Neural Computation: Markus Meister at TEDxCaltech

Markus Meister is professor of biology at the Caltech. He studied physics in Germany and then at Caltech, where he received his Ph.D. (1987). After postdoctoral research at Stanford, Markus...

Computational modeling of the brain - Sylvain Baillet

Neuroscientist Sylvain Baillet on the Human Brain Project, implementing the brain in silico, and neural networks Serious Science -

MSc Neural Systems & Computation - students and faculty

Students Sepp, Janie and Youssef and Dean of Studies Richard Hahloser discuss the MSc in Neural Systems & Computation.

Why psychiatry needs computational models of the brain | John Murray | TEDxAmherst

John D. Murray is a physicist who develops mathematical models of the brain, which will provide new insight into psychiatric disorders such as schizophrenia. He is a researcher at New York...

MSc Neural Systems & Computation - Youssef

Masters student Youssef describes his background and interest in joining the Neural Systems & Computation program at the Institute for Neuroinformatics.

The Computing Earthquake: Neural Networks, Cognitive Layering

Abstract A set of profound changes are clearly underway in computing. New computational models like convolutional neural networks for pattern recognition are replacing programming with training....

NIPS 2015 Workshop (Tenenbaum) 15472 Cognitive Computation: Integrating neural and symbolic app...

While early work on knowledge representation and inference was primarily symbolic, the corresponding approaches subsequently fell out of favor, and were largely supplanted by connectionist...

Neuronal code, How neurons talk to create behaviors: Michael Hausser at TEDxBarcelona

Dr. Michael Häusser is working in the field of understanding synaptic integration and dendritic function. He has made important advances in revealing how the integrative properties of single...

BioVision 2010: "Principles of Neural Ensemble Physiology"

The Theory of Biorobs: Towards the Future part II was held during BioVision Alexandria 2010 conference "New Life Sciences: Future Prospects" on Tuesday, 13 April 2010 at the Bibliotheca Alexandrina...

Whiteboard Wednesdays - The Future of Neural Networks

In this week's Whiteboard Wednesdays video, Chris Rowen looks at the future of neural networks and the key emerging trends. Learn more: