AIR Code: AI and Robotics Podcast

Introduction to the AIR Code Podcast Nicole Robinson, Host of the AIR Code, provides a brief introduction to the Artificial Intelligence and Robotics (AIR) Code Podcast. 

Dr. Juxi Leitner talks about Robot Grasping for New Objects  Podcast topics: Robotic grasping and manipulation in both structured and unstructured environments, end effectors, soft skin robotics and warehouse automation. Resources Cartman News - http://www.bbc.com/news/technology-40774385  Cartman Article - https://arxiv.org/abs/1709.06283  Grasping in Robotics Book - https://www.springer.com/us/book/9781447146636  Guest Biography  Dr. Juxi Leitner is a Research Fellow at the Australian Centre of Excellence for Robotic Vision (ACRV). Dr. Leitner's research focus is on integrating Robotics, Computer Vision and Machine Learning/Artificial Intelligence (AI) for robust grasping and manipulation in real-world scenarios. Dr. Leitner is the Amazon Robotics Challenge 2017 winner for robot grasping in a warehouse automation challenge. Dr. Leitner founded Brisbane.AI and the Brisbane Robotics Interest Group to promote the knowledge and engagement of robotics and AI in Brisbane, Australia. Dr. Leitner has also worked at the IDSIA Robotics Lab and received his PhD from the Università della Svizzera Italiana (USI) for his work on robotic learning for visual perception and actions on the iCub humanoid robot. Other work positions include Space Security and AI at the Advanced Concepts Team of the European Space Agency, and received a Masters of Space Robotics in a Joint European Master Programme (SpaceMaster) at Aalto (TKK) and the Kiruna Space Campus (LTU). Website: Juxi.net Twitter: @Juxi 

Dr. Thierry Peynot talks about Robotics and AI in the Mining Industry  Podcast topics: Mining, robotics, machinery, machine learning, underground operation, computer vision, autonomous vehicles, and mining techniques Resources Robotics in Mining Book - https://link.springer.com/chapter/10.1007/978-3-319-32552-1_59  Website - https://www.mining3.com/  QLD Mining News - http://www.amsj.com.au/news/robotic-vision-researches-take-mining-automation-next-level/  News - http://www.miningmonthly.com/development/automation/centimetre-perfect/  Research Project Information - https://research.qut.edu.au/ras/research/automation-enabling-positioning-for-underground-mining/  Guest Biography Dr. Peynot is a Senior Lecturer and Academic Fellow at the Queensland University of Technology. Dr. Peynot research focus is on Autonomous Ground Vehicles (AGV), planetary rovers, persistent autonomy, sensor data fusion, perception integrity, resilient perception using multiple sensing modalities and resilient navigation. Previously, Dr. Peynot was a Research Fellow at the Australian Centre for Field Robotics (ACFR), The University of Sydney, Australia and an Associate Lecturer (or fixed-term Assistant Professor) at the University Toulouse III between 2005 and 2007. Dr. Peynot received his PhD and MSc degrees from the Institut National Polytechnique (INP) of Toulouse in 2006 and 2002, respectively. In 2005, Dr. Peynot visited the NASA Ames Research Centre, in California, to work on the Collaborative Decision System (CDS) program, which was awarded the NASA Group Achievement Award in 2006. Website: http://staff.qut.edu.au/staff/peynot/ 

Dr. Elliot Smith speaks about AI to Detect and Diagnose Disease  Podcast topics: AI, MRI, CT, machine learning, healthcare, image processing and classification, diagnostics, cancer, data sets, ethics, hospital, startups Resources The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613097/  Maxwell MRI News - https://www.smartcompany.com.au/startupsmart/news-analysis/csiros-main-sequence-ventures-makes-first-investments-from-200-million-fund-focusing-on-deep-tech/  Guest Biography: Dr. Smith co-founded Maxwell MRI, a start-up based in Brisbane which is currently using AI to detect and diagnose disease. Dr. Smith is experienced in the areas of medical devices. Dr. Smith has completed a Bachelor Degree in Engineering and Doctor of Philosophy in Biomedical Engineering at the University of Queensland.  Website: https://www.maxwellmri.com/ Twitter: @maxwell_mri  

Dr. Peter Wittek discusses the field of Quantum-Enhanced Machine Learning  Podcast topics: Quantum computers, quantum-enhanced machine learning, quantum annealing, deep learning, mathematics, qubits  Resources Research Articles: https://doi.org/10.1038/nature23474, https://www.nature.com/articles/s41534-017-0017-3 Introduction: https://en.wikipedia.org/wiki/Quantum_machine_learning  Quantum Machine Learning Book: https://www.elsevier.com/books/quantum-machine-learning/wittek/978-0-12-800953-6  Creative Destruction Lab: https://www.creativedestructionlab.com/quantum/  Upcoming QML Events: https://www.quantummachinelearning.org/events.html  News: https://www.technologyreview.com/s/609804/a-startup-uses-quantum-computing-to-boost-machine-learning/  Guest Biography  Dr. Wittek is the Adacemic Director of the Quantum Machine Learning Initiative in the Creative Destruction Lab in Toronto, Canada. Dr. Wittek's academic work includes articles on quantum-enhanced machine learning and applications of high-performance learning algorithms in quantum physics. Dr. Wittek is the author of "Quantum Machine Learning: What Quantum Computing Means to Data Mining". Website: https://peterwittek.com/ https://www.creativedestructionlab.com/  Applications for the Toronto Quantum Machine Learning Creative Destruction Program are now open: https://www.creativedestructionlab.com/locations/toronto/qml2018-2019/  

Distinguished Professor Peter Corke talks about Robotic Vision Podcast topics: Robotic vision, computer vision, computer science, electrical engineering, robotic systems, image processing, hand-eye coordination, dynamic tasks, robotic grasping Resources Australian Centre for Robotic Vision Website - https://www.roboticvision.org/ University-level, short video lessons and full online courses on robotic vision - https://robotacademy.net.au/  Robotics, Vision and Control by Peter Corke - https://www.springer.com/gp/book/9783319544120  Guest Biography  Distinguished Professor Peter Corke is the Centre Director for the ARC Centre of Excellence for Robotic Vision. Professor Corke is a Fellow of the Australian Academy of Technology and Engineering and Fellow of the IEEE. Professor Corke authored Robotics, Vision and Control, MATLAB toolboxes for Robotics and Machine Vision, and the QUT Robot Academy, which provides full online courses on robotic vision. Professor Corke was also awarded the Australian University Teacher of the Year award in 2017.  Website: http://petercorke.com/ Twitter: @RoboticVisionAU

Professor Tom Drummond discusses Machine Consciousness Podcast topics: Artificial intelligence, machine consciousness, artificial conciousness, machine learning, zombie twin problem, reinforcement learning, cognitive robotics, brain, neuroscience, computer system, memory, internal representation.  Resources Artificial Consciousness https://en.wikipedia.org/wiki/Artificial_consciousness Philosophical Zombie 'Twin' Problem https://en.wikipedia.org/wiki/Philosophical_zombie  The rise of machine consciousness: Studying consciousness with computational models https://www.sciencedirect.com/science/article/pii/S0893608013000968?via%3Dihub   What is consciousness, and could machines have it? http://science.sciencemag.org/content/358/6362/486  Guest Biography  Professor Tom Drummond is a Professor in Electrical and Computer Systems Engineering with previous education in Mathematics at the University of Cambridge and PhD in Comptuer Science from Curtin University. Professor Drummond has worked extensively in real-time computer vision with applications in areas such as augmented reality, robotics, and assistive technologies.  Website: http://twd20g.blogspot.com.au/, https://www.monash.edu/engineering/tomdrummond