3D food printing is an emerging technology with the potential to manufacture personalized products with varying macronutrients and textures that promote health and well-being of individuals. Although there are many promises for future application, still the technology itself is far from mature. In this presentation, I will therefore first go more in depth on material property requirements that are for example necessary for successful extrusion-based printing. Subsequently, I will present results of several studies in which we investigated innovative product concepts using different food printing techniques (i.e. extrusion-based, inkjet and binder jet 3D printing). In these studies, we evaluated ways to influence sensory perception in products by spatially re-distributing ingredients (e.g. by 3D printing different chocolate coating patterns and protein bar designs) and we investigated the use of binding jet 3D printing to create high-protein textures that have very surprising properties. Finally, I will discuss what are still hurdles for printing fully customized and acceptable foods and how we expect to tackle these.
Dr. ir. M.A.I. Schutyser is Associate Professor (UHD) at the Laboratory of Food Process Engineering of Wageningen University & Research. His research focuses on understanding behavior of concentrated and dry materials during (spray) drying, dry fractionation and 3D food printing. This helps to explore new operating windows for existing dry food processes and develop radical new dry processing routes. The aim is to deliver better quality & healthier foods with more environmentally friendly processes compared to traditional processing. Dewatering and drying technologies represent in some cases up to 50% of the total energy consumption of foods but are indispensable for food preservation and global distribution of food ingredients. Dry and hybrid fractionation technologies can save up to seven times energy compared to traditional wet protein extraction and at the same time provide highly functional and clean label ingredients. The emerging technology of 3D food printing offers the potential to create novel food textures and healthier foods. It is also well suited for personalized and on-demand food production leading to less food waste generation in the chain.
Maarten Schutyser (co-)authored over 100 scientific peer-reviewed papers. He obtained his Msc and PhD degrees, respectively in 1999 and 2003 (both cum laude) at Wageningen University & Research. After his PhD he was employed by Akzo Nobel Chemicals and NIZO food research, respectively as a research technologist and group leader predictive modelling of foods. Since 2008 he is leading the Dry Food Processing group at the laboratory of Food Processing Engineering. He is also chairman of the Netherlands Working Party on Drying, an independent society that connects drying experts via networking events (www.nwgd.nl).
Many ideas from science fiction books, originated from the phantasy of authors, have been realised years later. Science fiction goes beyond reality but has its roots in current reality. In his books on travels around the world, Jules Verne introduced the reader in a phantasy world, but many ideas have been realised years later. George Orwell wrote a book in 1949 with his vison of the world on 1984. His ideas about “Big brother is watching you” has been realised recently by using smart surveillance cameras. Designers of computer games are sometimes surprised by the performance of their characters. They show sometimes behaviour not expected by the designers.
In our presentation we discuss these examples in more detail. We will give some characteristics of successful science fiction stories. Next we will discuss what makes science fiction attractive at least for some people. Finally we will report about the backside of science fiction, about the dangers. In a time of fake news, some people present fiction as reality. The problem is that some people mix up fiction and reality and create their own reality. We report about special fraud in science. Some scientist present their ideas, fictive and faked experiments as reality. Finally we discuss our investigations about the psychological grounding of science fiction.
Leon Rothkrantz studied Mathematics at the University of Utrecht. After his PhD defense at the University of Amsterdam, he completed a second study in Psychology at the University of Leiden. In 1980 he was appointed at the Technical University of Delft. His research topics was Artificial Intelligence with a focus on modelling human brain and multimodal communication. In 1999 he was appointed as Associate Professor at TUDelft and headed the group of Knowledge Based Systems. In 2008 he was appointed as Professor in Smart sensor systems at The Netherlands Defense Academy. In 2015 he was awarded with a degree of Doctor honoris cause from the Czech Technical University in Prague and since 2013 he is visiting Professor at that University at the Faculty of Transportation Sciences.
Deep learning and artificial neural networks are used to simulate synapses and recognition features of brain perception. However, they do not take into account, the dynamic, the plasticity and the diversity of the inter-neuron local communication: electrical, chemical and paracrine synapses. Moreover, these models do not implement the glia that conveys long distance hormonal messages that interact with neurons and make them available everywhere in the whole body at the same time. These internal hormonal messages strongly influence the state and the behavior of all the brain layers and nuclei (fear, emotions, sleeping and awakening). We have shown in our previous article that these hormonal messages are essential to consciousness and thinking.
We know that the nervous system is always evolving and that this evolution is necessary to achieve long term memory, cognitive, sensitive, motor and language tasks. We have also described the features of the object oriented subsymbolic perception pyramid and those of the object oriented linguistic pyramid. In this work we provide a junctions object library to implement the different type of synapses and hormonal messages and a multi-agent system that integrates and control them. The supervisor agent represents anatomical and connection constraints of the brain layer and nuclei and control the diffusion of hormones and neuromediators. The temporal fuzzy vector space (TFVS) is used to tune the composition of neuron objects in layers and nuclei objects and to implement the emergence of their states and features according to a holistic systemic approach. We present the necessary tools and TFVS object classes to implement the MAS subsymbolic perceptive and psychological layers. To illustrate the approach we propose a simulation of object perception and recognition, emotion tagging, indexation to store the cognitive experience corresponding to a set of threatening objects in the environment.
Joël Colloc earned his M.D. at the medical faculty of Lyon and a specialty degree of forensic medicine with a degree of clinical toxicology. He received a MSc. degree of IT from the Business School of Lyon (IAE) and a MSc. degree of computer sciences from the engineering school INSA of Lyon. He served as forensic physician at the Edouard Herriot Hospital in the neurological emergency department to cure drug addicted people, medical ethics and developed drug and addiction database. He went on to earn his Ph.D. in computer sciences at the INSA of Lyon.
As Hospital assistant at the laboratory of medical computer science and he taught IT at the medical faculty. He was elected as associate professor in computer sciences at IAE of Lyon and he earned his accreditation to supervise researches in sciences at the Lyon 1 University. He is a Le Havre Normandy University professor in computer sciences since 2003.
His main research topics concern e-health and particularly: fuzzy vectorial spaces (FVS), multi-agent clinical decision support systems (MADSS) and knowledge bases, Case Based Reasoning, ontologies, nervous system modeling and cognitive sciences and AI applications in medicine and human sciences.
His human sciences researches try to conciliate the ethics of using Big Data in epidemiological studies, autonomous systems and robots and keeping ethics use of AI in order to improve clinical decision in medicine while preserving the patient-caregiver relationship, the privacy and the freewill choice of the patients.
Today, the farming industry is under pressure. Its two main pillars, labor and chemicals, are affected by profound regulatory and demographic trends, leading production costs to skyrocket. Fields such as machine learning and robotics are now being leveraged by entrepreneurs around the world to solve this contemporary farming equation. We'll dive into the role of machine learning in the context of farming automation, its current limitations and potential for the future.
Pauline Canteneur was born to multi-generation farmers in the North-Eastern part of France. She earned a master’s degree in business management from EDHEC Business School in France before accepting a position at the French Embassy in Berlin for the Department of Food and Agriculture and later on working as a strategy analyst for BNP Paribas’ Innovation Department in Paris, then San Francisco. She's the current Head of Business Development and Partnerships at FarmWise, where she oversees expansion into new markets.
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At the age of 21, Alireza Yaghoubi started his career as a materials scientist, developing applications for nanomaterials in green energy, high-performance ceramics and biomedical implants. His scientific works have appeared on the front cover of leading journals such as those of Royal Society of Chemistry, as well as being featured in news articles in 15 countries by the likes of Science Daily and MedicalXpress. Alireza is also an award-winning designer and co-founder of AirGo Design, a Singapore-based company developing "The Future of Airline Seating" according to ABC News, USA Today, Reuters and The Economist. Alireza is currently leading the work on an AI-assisted platform for designing lightweight structural components.
Looking at novel technologies that step-by-step are coming into our lives, we can be impressed by the results, by the possibilities new products offer, and by the way they slowly change our lives as well. These networked technologies are often communicating continuously with other systems and have a certain degree of autonomy for taking decisions. Such “Cyber Physical Systems” (CPS), with sometimes the human in the loop, pose real challenges to industries. Looking from a systems design point of view, such new technologies tend to increase the complexity a designer or an engineer needs to manage. Characterised by multiplicity, by interdependence, by a certain degree of heterogeneity, with continuous interactions, and overall with a product or system behaviour that is difficult to predict, such systems, such systems are also difficult to validate. And, if it concerns safety-critical embedded systems, to get those systems certified. Still, this is a road that is taken, and when looking for example at autonomous vehicles of autonomous drones, such technologies are being considered, so to be able to cover the stakeholder requirements, or more in general the expectations from our society. So, what to do about them… This presentation aims at analysing the challenges and to propose a methodology to support the design process. Starting from a new value-based approach to system design and engineering, research directions are suggested for the coming year, so to be able to prepare the future.
Rob Vingerhoeds is Professor of Systems Engineering and Head of the Complex Systems Engineering Department at ISAE-SUPAERO, Universit´e de Toulouse, France. An Aerospace Engineer from Delft University of Technology, Rob holds a PhD in Applied Sciences from the University of Ghent, as well as a "Habilitation à Diriger des Recherches" from INP Toulouse. Systems engineering is a key topic in Rob’s career since the early beginnings, with a particular focus on real-time intelligent systems. His current research focusses on systems engineering for concept design, model-based systems engineering, and predictive maintenance for complex systems. Besides research and lecturing, Rob has substantial industrial experience in these areas. Rob was for 10 years Editor-in-Chief of the IFAC Journal "Engineering Applications of Artificial Intelligence", and is currently Deputy Editor of the INCOSE Journal "Systems Engineering". He is a Fellow of the Institution of Engineering and Technology and of the British Computer Society.