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View Senthil Palaniappan PMP’S profile on LinkedIn, the world's largest professional community. He has been on Radio 4, Radio 5, and Channel 4 (television), has appeared at the Cheltenham Science Festival, the World Science Festival (New York), and the Cambridge Festival of Ideas, and his work has featured in Focus magazine and (several times) in New Scientist.Professor of Cognitive Robotics, Department of ComputingCSaP works with a unique network of academics and decision-makers to improve the use of evidence and expertise in public policy.
Murray Shanahan offers an introduction to the idea of the singularity and considers the ramifications of such a potentially seismic event.Shanahan's aim is not to make predictions but rather to investigate a range of scenarios. See the complete profile on LinkedIn and discover Murray’s connections and jobs at similar companies.

MIT Press began publishing journals in 1970 with the first volumes of Murray Shanahan is Professor of Cognitive Robotics in the Department of Computing at Imperial College London. See the complete profile on LinkedIn and … He went on to be Lecturer, then Senior Lecturer, then Reader in the Dept. See the complete profile on LinkedIn and discover Frank’s connections and jobs at similar companies. (Is Siri the template, or HAL?) Katie has 1 job listed on their profile. Mary has 1 job listed on their profile. To protect your privacy, all features that rely on external API calls from your browser are For web page which are no longer available, try to retrieve content from the the dblp computer science bibliography is funded by:Continual Reinforcement Learning with Multi-Timescale Replay.Learning Diverse Representations for Fast Adaptation to Distribution Shift.Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning.Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.Deep reinforcement learning with relational inductive biases.Policy Consolidation for Continual Reinforcement Learning.Policy Consolidation for Continual Reinforcement Learning.An Explicitly Relational Neural Network Architecture.The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition.SCAN: Learning Hierarchical Compositional Visual Concepts.Continual Reinforcement Learning with Complex Synapses.Deep Reinforcement Learning with Risk-Seeking Exploration.Continual Reinforcement Learning with Complex Synapses.An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons.The Partial Information Decomposition of Generative Neural Network Models.Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.Classifying Options for Deep Reinforcement Learning.Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.Effects of lesions on synchrony and metastability in cortical networks.GPU-based fast parameter optimization for phenomenological spiking neural models.Local and global criticality within oscillating networks of spiking neurons.Ascribing Consciousness to Artificial Intelligence.Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia.Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis.Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs.STDP produces robust oscillatory architectures that exhibit precise collective synchronization.A Cognitive Neural Architecture as a Robot Controller.How well do oscillator models capture the behaviour of biological neurons?Hierarchical clustering identifies hub nodes in a model of resting-state brain activity.Establishing communication between neuronal populations through competitive entrainment.Serial from Parallel, Unity from Multiplicity: What Emerges from Global Workspace Architecture.A computational model of a global neuronal workspace with stochastic connections.Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity.Accelerated simulation of spiking neural networks using GPUs.NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs.Modeling the Neural Basis of Cognitive Integration and Consciousness.Flexible object recognition in cluttered scenes using relative point distribution models.Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace.A fast evaluation criterion for the recognition of occluded shapes.A Vision-Based Intelligent System for Packing 2-D Irregular Shapes.A Simulated Global Neuronal Workspace with Stochastic Wiring.Leaf Classification Using Navigation-Based Skeletons.Perception as Abduction: Turning Sensor Data Into Meaningful Representation.An attempt to formalise a non-trivial benchmark problem in common sense reasoning.Indirect and Conditional Sensing in the Event Calculus.A Logic-Based Formulation of Active Visual Perception.A Logic-based Algorithm for Image Sequence Interpretation and Anchoring.Some Alternative Formulations of the Event Calculus.Hypothesising Object Relations from Image Transitions.A Logical Account of Perception Incorporating Feedback and Expectation.From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax.The Event Calculus in Classical Logic - Alternative Axiomatisations.Robot Navigation and Map Building with the Event Calculus (abstract).A Logical Account of the Common Sense Informatic Situation for a Mobile Robot.Solving the frame problem - a mathematical investigation of the common sense law of inertia.Noise and the Common Sense Informatic Situation for a Mobile Robot.Robotics and the Common Sense Informatic Situation.Reasoning about Discontinuities in the Event Calculus.Representing Continuous Change in the Event Calculus.Search, inference and dependencies in artificial intelligence.Prediction is Deduction but Explanation is Abduction. 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View Katina Shanahan’s profile on LinkedIn, the world's largest professional community. But since then he has turned his attention to the brain and its embodiment. He was scientific advisor to the film Ex Machina, which was partly inspired by his book “Embodiment and […]