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Rescooped by Dr. Stefan Gruenwald from Technoscience and the Future
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Intelligent Autonomous Systems

This talk describes the current research path towards intelligent, semi-autonomous systems, where both humans and automation tightly interact, and together, accomplish tasks such as searching for survivors of a hurricane using a team of UAVs with sensors with highly efficient interaction. This talk is describes the current state of the art in 1) intelligent robotic (only) systems, 2) modeling human decisions and 3) semi-autonomous systems, with a focus on information exchange, and command and control.

 

Mark Campbell is the S.C. Thomas Sze Director of the Sibley School of Mechanical and Aerospace Engineering at Cornell University.


Via Szabolcs Kósa, olsen jay nelson
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Turing Machine Web Class - Automata Theory

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Videos of machine learning, artificial intelligence and playful machines

Videos of machine learning, artificial intelligence and playful machines | Science-Videos | Scoop.it
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Google Workshop on Quantum Biology: Classical and Quantum Information in DNA

DNA stores and replicates information. Special sequences of different nucleic acids (adenine, cytosine, guanine, thymine) encode life's blueprints. These nucleic acids can be divided into a classical part (massive core) and a quantum part (electron shell and single protons). The laws of quantum mechanics map the classical information (A,C,G,T) onto the configuration of electrons and position of single protons. Although DNA replication requires perfect copies of the classical information, the core that constitutes this information does not directly interact with the copying machine. Instead, only the quantum degrees of freedom are measured. Thus successful copying requires a correct translation of classical to quantum to classical information. It has been shown that the electronic system is well shielded from thermal noise. This leads to entanglement inside the DNA helix. It is an open question if this entanglement influences the genetic information processing. In this talk I will discuss possible consequences of entanglement for the information flow and the similarities and differences between classical computing, quantum computing and DNA information processing.

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Mandelbulb 3D fractals - Large collection of three dimensional fractal worlds [Videos]

Mandelbulb 3D fractals - Large collection of three dimensional fractal worlds [Videos] | Science-Videos | Scoop.it

3D pictures: http://www.skytopia.com/project/fractal/gallery/

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Can humans create a superintelligence and how would it further evolve?

Suzanne Gildert's talk at Humanity+ @ Caltech (http://www.humanityplus.org/conferences/) about "What do super-intelligences REALLY want?" and will they outsmart mankind during in a singularity event.

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How to create a Connectome Observatory of the mouse brain and beyond

How to create a Connectome Observatory of the mouse brain and beyond | Science-Videos | Scoop.it

Several laboratories are now using Focused Ion Beam Scanning Electron Microscopes (FIB-SEM) to image small volumes of plastic embedded brain tissue at resolutions approaching 5x5x5nm voxel size. The fact that FIBSEM can obtain such resolution is of fundamental importance since at this resolution all neuronal processes should be traceable with 100% accuracy using fully automatic algorithms. A fundamental physical limitation of the FIB ablation process is that this resolution can only be obtained for very small samples on the order of 20 microns across. To overcome this limitation Ken Hayworth has developed a technique using a heated, oil-lubricated, ultrasonically vibrating diamond knife which can section large blocks of plastic-embedded brain tissue into 20 micron thick strips optimally sized for high-resolution FIB-SEM imaging. Crucially, this thick sectioning procedure results in such high-quality surfaces that the finest neuronal processes can be traced from strip to strip.

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Self-Improving Artificial Intelligence and the Future of Computing

Steve Omohundro for the Stanford University Computer Systems Colloquium (EE 380) presents fundamental principles that underlie the operation of "self-improving systems," i.e., computer software and hardware that improve themselves by learning from their own operations.

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NIPS Workshop on Optimization for Machine Learning, Whistler 2008 - Video Lectures

Classical optimization techniques have found widespread use in machine learning. Convex optimization has occupied the center-stage and significant effort continues to be still devoted to it.

 

Pattern Analysis, Statistical Modelling and Computational Learning » NIPS Workshop on Optimization for Machine Learning, Whistler 2008.

 

Training a Binary Classifier with the Quantum Adiabatic Algorithm

 

Polyhedral Approximations in Convex Optimization

 

Optimization in Machine Learning: Recent Developments and Current Challenges

 

Large-scale Machine Learning and Stochastic Algorithms

 

Online and Batch Learning Using Forward-Looking Subgradients

 

Robustness and Regularization of Support Vector Machines

 

Tuning Optimizers for Time-Constrained Problems using Reinforcement Learning.

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Dr. Eric Horvitz and Dr. Peter Norvig: The Challenge and Promise of Artificial Intelligence

Join leading researchers Dr. Eric Horvitz of Microsoft Research and Dr. Peter Norvig of Google for an intriguing discussion about the past, present, and future of artificial intelligence, moderated by KQED's Tim Olson.


Via Szabolcs Kósa, Dr. Stefan Gruenwald
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Can humans create a superintelligence and how would it further evolve?

Suzanne Gildert's talk at Humanity+ @ Caltech ( http://www.humanityplus.org/conferences/ ) about "What do super-intelligences REALLY want?" and will they outsmart mankind during in a singularity event.

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