Brain Inspired Computing Congress 2020 | Kisaco Research

Bridging the gap between research and commercial application of ‘Brain-Inspired’ technologies

Register your interest
Silicon Valley
21-22 April, 2020

Why Attend

The Brain Inspired Computing Congress will bring together the leading start-ups, researchers and multinational companies who are exploring technologies spanning neuromorphic engineering, event-based sensors, brain-inspired algorithms and biologically plausible neural networks. This congress will provide an overview of these technologies in addition to deep-dive sessions on new architectures for neuromorphic chips, event-based sensors, and efforts to create biologically plausible algorithms.

The Brain Inspired Computing Congress will focus on the prime applications for brain-inspired technologies including autonomous vehicles, robotic arm control and dynamic vision sensing. Given the scope for ultra-low-power and edge applications, this technology can be used where conventional deep learning methods are not well suited, such as brain-implants, where it is vital to adhere to power and temperature constraints. Therefore, this congress will also openly discuss the overlap and differentiation between applications for conventional deep learning and brain-inspired computing, exploring how these technologies can complement one another.

1st
Commercial brain-inspired computing conference
150+
Senior tech executives
20+
leading speakers

Speakers

 

Dr. Chris Eliasmith

Co-Founder Co-CEO
Applied Brain Research

Dr. Chris Eliasmith

Co-Founder Co-CEO
Applied Brain Research

Dr. Chris Eliasmith

Co-Founder Co-CEO
Applied Brain Research
 

Dileep George

Co-Founder
Vicarious

Before cofounding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute. Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned in MS in EE from Stanford and his BS from IIT in Bombay.

Dileep George

Co-Founder
Vicarious

Dileep George

Co-Founder
Vicarious

Before cofounding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute. Dileep has authored 22 patents and several influential papers on the mathematics of brain circuits. Dileep’s research on hierarchical models of the brain earned him a PhD in Electrical Engineerings from Stanford University. He earned in MS in EE from Stanford and his BS from IIT in Bombay.

 

Gordon Hirsch-Wilson

Co-Founder & CEO
RAIN Neuromorphics

Gordon is a co-founder and the CEO of Rain Neuromorphics, an AI startup developing neuromorphic hardware - physical chips that that can operate faster and with far less power than current implementations of software-based neural networks. Through biologically inspired architectures and algorithms, RAIN Neuromorphics envisions a future where all devices are independently intelligent.

Gordon Hirsch-Wilson

Co-Founder & CEO
RAIN Neuromorphics

Gordon Hirsch-Wilson

Co-Founder & CEO
RAIN Neuromorphics

Gordon is a co-founder and the CEO of Rain Neuromorphics, an AI startup developing neuromorphic hardware - physical chips that that can operate faster and with far less power than current implementations of software-based neural networks. Through biologically inspired architectures and algorithms, RAIN Neuromorphics envisions a future where all devices are independently intelligent.

 

Yulia Sandamirskaya

Group Leader
ETH Zurich

Yulia Sandamirskaya is a Group Leader at the Institute of Neuroinformatics (INI) of the University of Zurich and ETH Zurich. Her group “Neuromorphic Cognitive Robots” develops neuro-dynamic architectures for embodied AI. Her research interest is in memory formation, adaptive motor control, and autonomous learning in spiking and analogue neural networks. Her group works on implementing neuronal architectures in neuromorphic hardware to control robots. She has a degree in Physics from the Belarussian State University in Minsk, Belarus and Dr. rer. nat.

Yulia Sandamirskaya

Group Leader
ETH Zurich

Yulia Sandamirskaya

Group Leader
ETH Zurich

Yulia Sandamirskaya is a Group Leader at the Institute of Neuroinformatics (INI) of the University of Zurich and ETH Zurich. Her group “Neuromorphic Cognitive Robots” develops neuro-dynamic architectures for embodied AI. Her research interest is in memory formation, adaptive motor control, and autonomous learning in spiking and analogue neural networks. Her group works on implementing neuronal architectures in neuromorphic hardware to control robots. She has a degree in Physics from the Belarussian State University in Minsk, Belarus and Dr. rer. nat. from the Institute for Neural Computation in Bochum, Germany. She is the chair of EUCognition (the European Society for Cognitive Systems) and the coordinator of the NEUROTECH project that supports and develops the neuromorphic computing technology community in Europe.

 

Bruno Maisonnieer

CEO
AnotherBrain

Bruno Maisonnieer

CEO
AnotherBrain

Bruno Maisonnieer

CEO
AnotherBrain
 

Guy Paillet

Co-Founder
General Vision

Guy is the inventor of the ZISC (Zero Instruction Set Computer), a silicon neural network chip back in 1993. He brings a long experience in hard-wired artificial vision systems and parallel pattern recognition architecture to the company. He is an “out-of-the-box” thinker and can solve complex problems related to sensing (especially vision) and artificial intelligence with elegant, yet practical solutions. Guy talent has served in several companies including Data Sud Systems (DSS), IBM, EuroPixels and General Vision Inc.

Guy Paillet

Co-Founder
General Vision

Guy Paillet

Co-Founder
General Vision

Guy is the inventor of the ZISC (Zero Instruction Set Computer), a silicon neural network chip back in 1993. He brings a long experience in hard-wired artificial vision systems and parallel pattern recognition architecture to the company. He is an “out-of-the-box” thinker and can solve complex problems related to sensing (especially vision) and artificial intelligence with elegant, yet practical solutions. Guy talent has served in several companies including Data Sud Systems (DSS), IBM, EuroPixels and General Vision Inc.

 

Heiko Hoffman

Leader of the Autonomy Computing Center
HRL Laboratories

Heiko Hoffmann leads the Center for Autonomy Computing in the Information and Systems Sciences Lab at HRL Laboratories, LLC in Malibu, CA. HRL is a research company co-owned by the Boeing Company and General Motors. Before joining HRL, he was a postdoctoral researcher at the University of Southern California and the University of Edinburgh, U.K., developing new methods for robotic motion generation and machine learning. Heiko holds a Masters in Physics from Heidelberg University in Germany and a Ph.D.

Heiko Hoffman

Leader of the Autonomy Computing Center
HRL Laboratories

Heiko Hoffman

Leader of the Autonomy Computing Center
HRL Laboratories

Heiko Hoffmann leads the Center for Autonomy Computing in the Information and Systems Sciences Lab at HRL Laboratories, LLC in Malibu, CA. HRL is a research company co-owned by the Boeing Company and General Motors. Before joining HRL, he was a postdoctoral researcher at the University of Southern California and the University of Edinburgh, U.K., developing new methods for robotic motion generation and machine learning. Heiko holds a Masters in Physics from Heidelberg University in Germany and a Ph.D. in Robotics and Machine Learning for work at the Max Planck Institute for Human Cognitive and Brain Sciences in Germany. 

 

Scott Gray

Member of Technical Staff
OpenAI

Scott Gray

Member of Technical Staff
OpenAI

Scott Gray

Member of Technical Staff
OpenAI
 

Sean Batir

Senior ML Engineer
BMW

Sean is on a mission to help humanity transcend its physical and cognitive limitations. His professional experience lies at the intersection of artificial intelligence, software, and biotechnology, with over a decade of experience working with neural systems. Sean has been involved in the submission of over a dozen patents and academic conference submissions that range from the formation and enhancement of mammalian memory, to modular jewelry that enabled remote biometric monitoring.

Sean Batir

Senior ML Engineer
BMW

Sean Batir

Senior ML Engineer
BMW

Sean is on a mission to help humanity transcend its physical and cognitive limitations. His professional experience lies at the intersection of artificial intelligence, software, and biotechnology, with over a decade of experience working with neural systems. Sean has been involved in the submission of over a dozen patents and academic conference submissions that range from the formation and enhancement of mammalian memory, to modular jewelry that enabled remote biometric monitoring. His previous work cofounding two smaller startups that respectively designed and sought to build biometric, modular jewelry and augmented reality contact lenses. He was involved in assessing the commercial viability of emerging technologies and inventions through the MIT Technology Licensing Office and the Columbia Technology Ventures. Currently, Sean works at BMW’s Research and Engineering division, where he both develops software that enables artificial intelligence, and engages in strategic partnerships with industrial and academic clients to build proof-of-concept prototypes for corporate adoption. Some of his most recent work spans collaborative robotics, augmented reality for improved manufacturing and knowledge sharing, next generation infrastructure connectivity, the virtualization of work-stations, enhancing robotic performance in virtual environments, and developing novel approaches for coordinated control of IoT devices. Sean graduated from the Massachusetts Institute of Technology with a Bachelor of Science in Brain and Cognitive Sciences. He also completed study at both the Imperial College of London, where he earned a Master’s of Research in Bioengineering with a specialization in neural processing algorithms, and the University of Oxford Said Business School.. Following this, Mr. Batir enrolled in a Ph.D. program studying Theoretical Neuroscience at Columbia University, and is currently on leave of absence to work at the interdisciplinary crossroads of IoT, AI, and swarm intelligence.

 

Steven Latré

Director/Associate Professor, ID Lab
IMEC research group at the University of Antwerp

Prof. Steven Latré, is an associate professor at the University of Antwerp and director at the research centre imec, Belgium. He is leading the IDLab Antwerp research group (85+ members), which is performing applied and fundamental research in the area of communication networks and distributed intelligence. His personal research interests are in the domain of machine learning and its application to wireless network optimization.

Steven Latré

Director/Associate Professor, ID Lab
IMEC research group at the University of Antwerp

Steven Latré

Director/Associate Professor, ID Lab
IMEC research group at the University of Antwerp

Prof. Steven Latré, is an associate professor at the University of Antwerp and director at the research centre imec, Belgium. He is leading the IDLab Antwerp research group (85+ members), which is performing applied and fundamental research in the area of communication networks and distributed intelligence. His personal research interests are in the domain of machine learning and its application to wireless network optimization.

He received a Master of Science degree in computer science from Ghent University, Belgium and a Ph.D. in Computer Science Engineering from the same university with the title “Autonomic Quality of Experience Management of Multimedia Services”. He is author or co-author of more than 100 papers published in international journals or in the proceedings of international conferences. He is the recipient of the IEEE COMSOC award for best PhD in network and service management 2012, the IEEE NOMS Young Professional award 2014 and is a member of the Young Academy Belgium

 

Tim Shea

Tech Research Associate Principal
Accenture Labs

Tim Shea

Tech Research Associate Principal
Accenture Labs

Tim Shea

Tech Research Associate Principal
Accenture Labs
 

Alec Talin

Distinguished Member of Technical Staff
Sandia National Labs

A. Alec Talin received the B.A. degree in chemistry from the University of California, San Diego, CA, USA, in 1989 and the Ph.D. degree in materials science and engineering from the University of California, Los Angeles, CA, in 1995.,He is a Principal Member of technical staff with Sandia National Laboratories, Livermore, CA, an adjunct Fellow with the Center for Nanoscale Science and Technology, National Institute of Standards and Technology, Gaithersburg, MD, USA, and an adjunct Associate Professor of materials science and engineering with the University of Maryland, College Park, MD.

Alec Talin

Distinguished Member of Technical Staff
Sandia National Labs

Alec Talin

Distinguished Member of Technical Staff
Sandia National Labs

A. Alec Talin received the B.A. degree in chemistry from the University of California, San Diego, CA, USA, in 1989 and the Ph.D. degree in materials science and engineering from the University of California, Los Angeles, CA, in 1995.,He is a Principal Member of technical staff with Sandia National Laboratories, Livermore, CA, an adjunct Fellow with the Center for Nanoscale Science and Technology, National Institute of Standards and Technology, Gaithersburg, MD, USA, and an adjunct Associate Professor of materials science and engineering with the University of Maryland, College Park, MD. Prior to joining Sandia in 2002, he spent six years as a Research Scientist with the Motorola Corporate Labs, Phoenix, AZ, USA. His research interests include charge transport in nanostructures, contacts, novel electronic materials, solid-state batteries, and photoelectrochemistry.

 

Catherine Schumann

Research Scientist
Oak Ridge National Laboratory

Catherine (Katie) Schuman is a research scientist at Oak Ridge National Laboratory (ORNL). She received her Ph.D. in Computer Science from the University of Tennessee, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. She is continuing her study of models and algorithms for neuromorphic computing at ORNL. Katie has a joint faculty appointment with the Department of Electrical Engineering and Computer Science at the University of Tennessee, where she co-leads the TENNLab neuromorphic research group.

Catherine Schumann

Research Scientist
Oak Ridge National Laboratory

Catherine Schumann

Research Scientist
Oak Ridge National Laboratory

Catherine (Katie) Schuman is a research scientist at Oak Ridge National Laboratory (ORNL). She received her Ph.D. in Computer Science from the University of Tennessee, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. She is continuing her study of models and algorithms for neuromorphic computing at ORNL. Katie has a joint faculty appointment with the Department of Electrical Engineering and Computer Science at the University of Tennessee, where she co-leads the TENNLab neuromorphic research group. Katie has over 45 publications as well as six patents in the field of neuromorphic computing. Katie received the U.S. Department of Energy Early Career Award in 2019. 

 

Dimitri Kusnezov

Deputy Under Secretary for A.I. and Technology
Department of Energy

Dr. Dmitri Kusnezov received A.B. degrees in Physics and in Pure Mathematics with highest honors from UC Berkeley. Following a year of research at the Institut fur Kernphysik, KFA-Julich, in Germany, he attended Princeton University earning his MS in Physics and Ph.D. in Theoretical Nuclear Physics. At Michigan State University, he conducted postdoctoral research and then became an instructor.

Dimitri Kusnezov

Deputy Under Secretary for A.I. and Technology
Department of Energy

Dimitri Kusnezov

Deputy Under Secretary for A.I. and Technology
Department of Energy

Dr. Dmitri Kusnezov received A.B. degrees in Physics and in Pure Mathematics with highest honors from UC Berkeley. Following a year of research at the Institut fur Kernphysik, KFA-Julich, in Germany, he attended Princeton University earning his MS in Physics and Ph.D. in Theoretical Nuclear Physics. At Michigan State University, he conducted postdoctoral research and then became an instructor.

In 1991, he joined the faculty of Yale University as an assistant professor in physics, becoming an associate professor in 1996. He has served as a visiting professor at numerous universities around the world. Dr. Kusnezov has published over 100 articles and a book.

He joined federal service at the National Nuclear Security Administration in late 2001 and is a member of the Senior Executive Service and is also a Visiting Researcher at Yale. He currently serves as Deputy Under Secretary for A.I. and Technology.

 

John Paul Strachan

Master Technologist
HP Labs

John Paul is a Master Technologist and research team leader at Hewlett Packard Labs in Palo Alto, CA. He runs the Rebooting Computing team that builds novel types of hardware accelerators from emerging device technology, with expertise spanning materials, device physics, circuits, architectures, benchmarking and building prototype systems. The team’s interests span applications in machine learning, network security, and optimization.

John Paul Strachan

Master Technologist
HP Labs

John Paul Strachan

Master Technologist
HP Labs

John Paul is a Master Technologist and research team leader at Hewlett Packard Labs in Palo Alto, CA. He runs the Rebooting Computing team that builds novel types of hardware accelerators from emerging device technology, with expertise spanning materials, device physics, circuits, architectures, benchmarking and building prototype systems. The team’s interests span applications in machine learning, network security, and optimization.


John Paul has degrees in physics and electrical engineering from MIT and a PhD in applied physics from Stanford University. He has over 50 patents, has authored or co-authored over 65 peer-reviewed papers, and been the PI in many USG research grants. He has previously worked on nanomagnetic devices for memory for which he was awarded the Falicov Award from the American Vacuum Society, and has developed sensing systems for precision agriculture in a company which he co-founded. He serves in many professional societies including IEEE IEDM ExComm, the Nanotechnology Council ExComm, past program chair and steering member of the International Conference on Rebooting Computing.

 

Michael Milford

Professor in Electrical Engineering
University of Queensland

Professor Milford conducts interdisciplinary research at the boundary between robotics, neuroscience and computer vision and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. He is also one of Australia’s most in demand experts in technologies including self-driving cars, robotics and artificial intelligence, and is a passionate science communicator.

Michael Milford

Professor in Electrical Engineering
University of Queensland

Michael Milford

Professor in Electrical Engineering
University of Queensland

Professor Milford conducts interdisciplinary research at the boundary between robotics, neuroscience and computer vision and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. He is also one of Australia’s most in demand experts in technologies including self-driving cars, robotics and artificial intelligence, and is a passionate science communicator. He currently holds the position of Professor at the Queensland University of Technology, as well as Australian Research Council Future Fellow, Microsoft Research Faculty Fellow and Chief Investigator at the Australian Centre for Robotic Vision.

 

Paul Merolla

Co-Founder
Neuralink

My research focus is to build more intelligent computers, drawing inspiration from neuroscience, engineering, and machine learning. I have been a lead designer on more than 10 brain-inspired chips, including Stanford’s Neurogrid and IBM’s TrueNorth chip. While my main expertise is designing low-power neural hardware, I am also passionate about developing algorithms for these systems aimed at solving real world problems.

Paul Merolla

Co-Founder
Neuralink

Paul Merolla

Co-Founder
Neuralink

My research focus is to build more intelligent computers, drawing inspiration from neuroscience, engineering, and machine learning. I have been a lead designer on more than 10 brain-inspired chips, including Stanford’s Neurogrid and IBM’s TrueNorth chip. While my main expertise is designing low-power neural hardware, I am also passionate about developing algorithms for these systems aimed at solving real world problems.

Recently, I co-founded Neuralink, a startup based in San Francisco developing a high bandwidth interface for the nervous system. Before that, I was a research scientist in IBM's Brain-Inspired Computing group (2010 - 2016), and before that, I was a postdoctoral scholar in Stanford's Brains in Silicon lab (2006 - 2010). I received my PhD from the University of Pennsylvania in Bioengineering (2006) and a BS from the University of Virginia in Electrical Engineering (2000).

 

Phillip Oung

Associate
Airbus Ventures

Phillip Oung

Associate
Airbus Ventures

Phillip Oung

Associate
Airbus Ventures
 

Qiangfei Xia

Professor of Electrical & Computer Engineering
University of Massachusetts Amherst

Dr. Xia is a professor of Electrical & Computer Engineering at UMass Amherst and head of the Nanodevices and Integrated Systems Lab (http://nano.ecs.umass.edu). Before joining UMass, he spent three years at the Hewlett-Packard Laboratories. He received his Ph.D. in Electrical Engineering in 2007 from Princeton University. Dr. Xia's research interests include beyond-CMOS devices, integrated systems and enabling technologies, with applications in machine intelligence, reconfigurable RF systems and hardware security.

Qiangfei Xia

Professor of Electrical & Computer Engineering
University of Massachusetts Amherst

Qiangfei Xia

Professor of Electrical & Computer Engineering
University of Massachusetts Amherst

Dr. Xia is a professor of Electrical & Computer Engineering at UMass Amherst and head of the Nanodevices and Integrated Systems Lab (http://nano.ecs.umass.edu). Before joining UMass, he spent three years at the Hewlett-Packard Laboratories. He received his Ph.D. in Electrical Engineering in 2007 from Princeton University. Dr. Xia's research interests include beyond-CMOS devices, integrated systems and enabling technologies, with applications in machine intelligence, reconfigurable RF systems and hardware security. He is a recipient of DARPA Young Faculty Award, NSF CAREER Award, and the Barbara H. and Joseph I. Goldstein Outstanding Junior Faculty Award. 

 

Roger Levinson

COO
BrainChip

Mr. Levinson most recently served as Vice President of Data Management at Rstor where he previously served as Vice President of ASIC Engineering. Mr. Levinson has also served as Vice President of Engineer at Rambus and Vice President/General Manager of Strategy and Innovation at Semtech. He held a variety of senior engineering positions prior to joining Semtech including at Intersil, Xicor, Analog Integration Partners, Exar ,and Micropower. Mr.

Roger Levinson

COO
BrainChip

Roger Levinson

COO
BrainChip

Mr. Levinson most recently served as Vice President of Data Management at Rstor where he previously served as Vice President of ASIC Engineering. Mr. Levinson has also served as Vice President of Engineer at Rambus and Vice President/General Manager of Strategy and Innovation at Semtech. He held a variety of senior engineering positions prior to joining Semtech including at Intersil, Xicor, Analog Integration Partners, Exar ,and Micropower. Mr. Levison earned his Bachelor’s Degree from the University of California, Davis in Electrical and Electronic Engineering, and also earned his Masters Degree from the University of California, Davis in Electrical and Electronic Engineering.

 

Shahin Farshchi

Partner
Lux Capital

Shahin empowers visionary founders aiming to accelerate humanity and build a fantastic future through feats of engineering. He built brainmachine interfaces for his PhD in Electrical Engineering, hybrids at General Motors, founded a wireless vital sign monitoring company, and as a Partner at Lux, has funded chip (Nervana), rocket (Relativity), satellite (Planet), robotics (Covariant.ai), and driverless car (Zoox) companies. Lux is a $2.4B VC that invests in tomorrow’s transformational companies across healthcare and technology.

Shahin Farshchi

Partner
Lux Capital

Shahin Farshchi

Partner
Lux Capital

Shahin empowers visionary founders aiming to accelerate humanity and build a fantastic future through feats of engineering. He built brainmachine interfaces for his PhD in Electrical Engineering, hybrids at General Motors, founded a wireless vital sign monitoring company, and as a Partner at Lux, has funded chip (Nervana), rocket (Relativity), satellite (Planet), robotics (Covariant.ai), and driverless car (Zoox) companies. Lux is a $2.4B VC that invests in tomorrow’s transformational companies across healthcare and technology.

 

Todd Hylton

Executive Director of the Contextual Robotics Institute
University of California San Diego

Dr. Todd Hylton is the Executive Director of the Contextual Robotics Institute and Professor of Practice in the Electrical and Computer Engineering Department at UC San Diego. His research interests include novel computing systems and their application to autonomous vehicle and robotic systems. Prior to his appointment at UC San Diego, he was Executive Vice President of Strategy and Research at Brain Corporation, a San Diego-based robotics startup. From 2007 to 2012, Dr.

Todd Hylton

Executive Director of the Contextual Robotics Institute
University of California San Diego

Todd Hylton

Executive Director of the Contextual Robotics Institute
University of California San Diego

Dr. Todd Hylton is the Executive Director of the Contextual Robotics Institute and Professor of Practice in the Electrical and Computer Engineering Department at UC San Diego. His research interests include novel computing systems and their application to autonomous vehicle and robotic systems. Prior to his appointment at UC San Diego, he was Executive Vice President of Strategy and Research at Brain Corporation, a San Diego-based robotics startup. From 2007 to 2012, Dr. Hylton served as a Program Manager at DARPA where he started and managed a number of projects including the Nano Air Vehicle program, the SyNAPSE program and the Physical Intelligence program. Prior to DARPA, he ran a nanotechnology research group at SAIC, co-founded 4Wave, a specialty semiconductor equipment business, and served as CTO of Commonwealth Scientific Corporation. Dr. Hylton received his Ph.D. in Applied Physics from Stanford University in 1991 and his B.S. in Physics from M.I.T. in 1983.

 

Tony Prescott

Co-Founder
Consequential Robotics

Tony Prescott holds a chair in Cognitive Robotics at the University of Sheffield, and is the Director of Sheffield Robotics an institute with over two hundred active researchers. His academic research spans robotics, computational neuroscience and machine learning, and has generated over 200 journal articles and conference papers. He is best known for his work on brain-based robots which he has developed to test theories in the brain sciences and to prototype useful brain-inspired technologies.

Tony Prescott

Co-Founder
Consequential Robotics

Tony Prescott

Co-Founder
Consequential Robotics

Tony Prescott holds a chair in Cognitive Robotics at the University of Sheffield, and is the Director of Sheffield Robotics an institute with over two hundred active researchers. His academic research spans robotics, computational neuroscience and machine learning, and has generated over 200 journal articles and conference papers. He is best known for his work on brain-based robots which he has developed to test theories in the brain sciences and to prototype useful brain-inspired technologies. In 2014, he co-founded the UK startup Consequential Robotics whose lead product, the animal-like companion robot MiRo, is the world's first commercial robot with a brain-based control system. Tony is also the co-founder of Living Machines, the international conference on biomimetic and biohybrid systems, now in its 9th year, and is the lead editor of the OUP Handbook of Living Machines, winner of the 2019 BMA basic and clinical sciences book award.

 

Yohann Tschudi

Technology and market analyst
Yole Développement

As a Technology and Market Analyst, Dr. Yohann Tschudi is a member of the Semiconductor and Software division at Yole Développement (Yole), part of Yole Group of Companies. Yohann works everyday with his team to identify, understand, and analyze the role of software and computing parts within any semiconductor product, from machine code to the most advanced algorithms. Following his thesis at CERN (Geneva, Switzerland), Yohann developed dedicated software for fluid mechanics and thermodynamics applications.

Yohann Tschudi

Technology and market analyst
Yole Développement

Yohann Tschudi

Technology and market analyst
Yole Développement

As a Technology and Market Analyst, Dr. Yohann Tschudi is a member of the Semiconductor and Software division at Yole Développement (Yole), part of Yole Group of Companies. Yohann works everyday with his team to identify, understand, and analyze the role of software and computing parts within any semiconductor product, from machine code to the most advanced algorithms. Following his thesis at CERN (Geneva, Switzerland), Yohann developed dedicated software for fluid mechanics and thermodynamics applications. Afterwards, he spent for two years at the University of Miami (FL, United-States) as an AI scientist. Yohann has a PhD in High-Energy Physics and a master’s degree in Physical Sciences from Claude Bernard University (Lyon, France). 

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