Conferences and Meetings on Neural Networks and Artificial Intelligence, Machine Learning

Faculty of Physical Sciences, National University of San Marcos

La nueva era de las tecnologías nos brindan una gran cantidad de datos que son relevantes y podrían ser usados para la toma de decisiones eficiente. Para lograr manipular y extraer información importante se usan técnicas como las de Machine Learning (ML). Con el pasar del tiempo esta herramienta se fue simplificando en los lenguajes de programación, hasta el punto de utilizar estas herramientas sin necesidad de conocer sus fundamentos matemáticos, ésta práctica genera problemas en el aprendizaje y desarrollo a nivel científico en el campo del ML.

Email: ricardo.quispe5@unmsm.edu.pe

Machine Learning, Statistics, Mathematics

RegML is a 20 hours advanced machine learning course including theory classes and practical laboratory sessions. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respects the course is a compressed version of the 9.520 course at MIT.

Courses and Events for Math Students and Early Career Researchers,    Training in Computer Science, Courses

The MIDL conference aims to be a forum for deep learning researchers, clinicians and health-care companies to take a leap in the application of deep learning based automatic image analysis in disease screening, diagnosis, prognosis, treatment selection and treatment monitoring. The conference will have a broad scope and include topics such as computer-aided screening and diagnosis, detection, segmentation, (multi-modal) registration, image reconstruction and synthesis.

Pattern Recognition and Image Processing, Machine Vision,    Radiology (in general)

Max Planck Institute for Intelligent Systems, Tübingen, Germany

The machine learning summer school (MLSS) series was started in 2002 with the motivation to promulgate modern methods of statistical machine learning and inference. It was motivated by the observation that while many students are keen to learn about machine learning, and an increasing number of researchers want to apply machine learning methods to their research problems, only few machine learning courses are taught at universities. Machine learning summer schools present topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice. The speakers are leading experts in their field who talk with enthusiasm about their subjects.

Courses and Events for Math Students and Early Career Researchers,    Training in Computer Science, Courses

Graz University of Technology, Austria | Association for Computational Learning

International Machine Learning Society (IMLS).

ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS).

The IEEE WCCI 2020 will host three conferences: The 2020 International Joint Conference on Neural Networks (IJCNN 2020), the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020) under one roof. It encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence.

The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the world’s largest technical event in the field of computational intelligence. WCCI 2020 features the flagship conference of the Computational Intelligence Society: The 2020 International Joint Conference on Neural Networks (IJCNN 2020), the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2020), and the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020) under one roof.

NGSchool Society

We have a great pleasure to invite you to the NGSymposium in Computational Biology to celebrate the 5th anniversary of the NGSchool Summer Schools. This international conference will make way for exchanging knowledge and experiences between experienced and early-stage researchers as well as bioinformaticians. The meeting will be held on 31.07 - 1.08.2020 in Warsaw. It will be a satellite event to the #NGSchool2020: Statistical Learning in Genomics. It will cover a wide range of topics from basic and applied biomedical sciences: bioinformatics, genomics, transcriptomics, computational biology.

Organizing Committee;     Email: info@ngschool.eu

bioinformatics, genomics, transcriptomics, computational biology, Machine Learning, NGS

Genomics and Bioinformatics,    Systems Biology and Computational Biology

UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty.

Courses and Events for Physics Students,    Courses and Events for Math Students and Early Career Researchers

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future. Topics of potential interest include but are not limited to: * Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics We invite anonymized submission of abstracts of 2 pages (12 pt font; 1in or 2.5cm margins) — with an extra page for references of figures — on new research on topics related to those listed above by February 15.

Natural Language Processing, Computational Linguistics,    Courses and Events for Math Students and Early Career Researchers

ITS2020 is the upcoming Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education.

The ITS2020 Conference focuses on “Artificial Intelligence and Beyond: From Alpha to Omega”.

The integration of artificial intelligence and robotic technologies has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that artificial intelligence will be the main approach of the next generation of robotic research. The explosive number of artificial intelligence algorithms and increasing computational power of computers has significantly extended the number of potential applications for robotic technologies. It has also brought new challenges to the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share up-to-date scientific achievements in this field.

Software Agents and Intelligent Agents in Artificial Intelligence,    Robotics, Automation & Mechatronics

Funded by the European Research Council

The field of natural language semantics has undergone what some refer to as an ‘experimental turn’ and is arguably currently undergoing a ‘computational turn’. By expanding the toolbox available to the semanticist, these two turns have the effect of expanding the phenomena that can be explained and the varieties of semantic explanation that can be offered. For example, experimental methods can help distinguish between alternative explanations of semantic effects, e.g. whether to classify controversial phenomena as implicatures or presuppositions. Similarly, computational models of semantics can generate fine-grained and non-categorical predictions that can fruitfully be tested experimentally. And both kinds of methods can be used to ask questions about the emergence of semantic structures in language, including which factors influence their distribution and typology. Given this wider toolbox and purview, we aim to gather a workshop to showcase exciting new work that develops new semantic explanations using experimental and computational methods, as well as to invite broader reflection on the methodology of semantics now and in its future.

Experimental semantics and pragmatics * Graded/non-categorical semantic theories and explanations * Information-theoretic measures and explanations in semantics and pragmatics * Semantic universals * Learnability and evolution of semantics and pragmatics * Bayesian approaches to semantics and pragmatics * Probing neural models for learned semantic representations * Semantics in emergent communication protocols * The methodology of semantics

Natural Language Processing, Computational Linguistics,    Courses and Events for Math Students and Early Career Researchers

SBA Research GmbH

Machine learning is the workhorse of Artificial Intelligence with enormous challenges in various application domains. It needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from diverse fields.

Organizer;     Email: conference@sba-research.org

machine learning, knowledge extraction, artificial intelligence

Zuerich University of Applied Sciences ZHAW

The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.

The International Conference on Optimization and Decision Science is organized by AIRO, Italian Operations Research Society and DSS (Dept. of Statistical Sciences).

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Ghent, Belgium, from the 14nd to the 18nd of September 2020. This event is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Information & Knowledge Management, Big Data Computing

Strategy Institute

AI and Machine Learning have evolved from a "nice-to-have" to an imperative for all organizations across all industries within the last year. It is your turn to build an AI and Machine Learning strategy by learning about the latest technologies and implementations from high-profile companies. Over a course of two full days, learn from TD, Air Canada, Modiface, LG, and more about proven strategies and detailed action plans. Our events allow for valuable networking opportunities with business leaders from across North America. Registration is limited - save you spot and join us on Sept 15-16, 2020 in Toronto, ON.

Customer Care;     Phone: [1(866)298-9343 ext.259];     Email: customercare@strategyinstitute.com

A conference of the European Neural Network Society

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.

ICANN 2020 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications.

ODSC

ODSC Europe Virtual 2020 will be coming to wherever you are this September 17th-19th. With focus areas spanning a wide range of topics, including machine learning, NLP, data visualization, MLOps and data engineering, and many more. ODSC Europe Virtual Conference is the perfect opportunity to gain new in-demand skills whatever your interest or expertise. And, when you purchase an All Access pass, you’ll gain access to our specially curated series of top training videos from East 2020. Use code XXXX right now to save XX% on your ticket to ODSC Europe Virtual Conference.

Phone: [+34 699306946];     Email: info@odsc.com

ODSCEurope, DataScience, MachineLearing, ArtificialIntelligence

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2020, the fourteenth conference in this series, will be held in Rio de Janeiro, Brazil.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Human-Computer Interaction, User Experience

Bits&Chips

Artificial intelligence (AI) is back, with a vengeance. Machine learning is taking the industry by storm. Bits&Chips organizes the second edition of the Machine Learning Conference in ‘s-Hertogenbosch on 27 May 2020. The conference brings together industrial and scientific specialists who are applying ML techniques in high tech domains, or are interested in doing so.

Organization;     Phone: [+31 24 350 5544];     Email: events@techwatch.nl

machine learning, deep learning, artifical intelligence, AI, engineering, high tech

ICAS

The ACAIN 2020 is aimed at AI experts, neuroscientists and both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2020 will be a special opportunity to hear about cutting-edge research by leading scientists in #AI and #Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 1-2 October,2020) will be preceded by lectures of leading scientists (the ACAIN Course, 28-30 September,2020) for students and newcomers to this interdisciplinary field.

ICAS Event Secretariat;     Email: acain@artificial-intelligence-sas.org

Artificial Intelligence Asilomar AI Principles Neuroscience Brain-Behavior Interactions Cognition & Artificial Intelligence Cognitive Computing Cognitive Neuroscience Cognitive Robotics Cognitive Science Computational Cognitive Science Computational Modeling of the Nervous System Computational Neuroscience Creativity & Artificial Intelligence Deep Learning Epistemic Planning Ethics for Autonomous Systems Explainable Artificial Intelligence General Reinforcement Learning Algorithms Generative Adversarial Networks Human-Level Artificial Intelligence Human-Robot Interaction Machine Learning Neural data Analysis Methods Neuroinformatics Neurotechnology Probabilistic Generative Models Probabilistic Programming Reinforcement Learning Robotics Symbolic AI & Deep Learning Systems Neuroscience Theory of Deep Learning

Spectro Expo

HyperMLPA is an interdisciplinary workshop which aims at bringing together people of different communities and disciplines involved in hyperspectral sensing, machine learning, and pattern analysis. People are invited to contribute in sensor development and calibration, to present and publish new datasets, to present innovative methodological advancements, and to share the latest results and findings of application-oriented work. The HyperMLPA workshop will run for the second time in 2020, as part of the SpectraExpo in parallel with Whispers and SwIImS. HyperMLPA participants will have full access to all Whispers/SwIImS sessions and vice versa.

Photochemistry and Spectroscopy,    Pattern Recognition and Image Processing, Machine Vision

IPAM

This workshop will bring together researchers working on the theoretical sides of deep learning techniques for perception and control of automated vehicles with researchers interested in assuring these autonomous systems operate with safety guarantees. Moreover, experts in sensing and imaging technology will be brought to the table, to cover the full pipeline from the collection of the data, over the AI theory and development, all the way to the software and actuation challenges. Additional themes addressed in this workshop include interactions between vehicle sensing and the infrastructure, and cybersecurity aspects related to sensing and machine learning (how to purposefully mislead sensors and AI).

Part of the Long Program Mathematical Challenges and Opportunities for Autonomous Vehicles

Applied Mathematics (in general),    Robotics, Automation & Mechatronics

Institute for Mathematical Sciences/National University of Singapore

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Software Agents and Intelligent Agents in Artificial Intelligence

Avast, Technische Universität in Prag (CTU)

Avast (LSE: AVST), ein weltweit führender Anbieter von digitalen Sicherheits- und Datenschutzprodukten, veranstaltet im Oktober 2020 in Zusammenarbeit mit der Technischen Universität in Prag (CTU) die Konferenz CyberSec&AI Connected, die zweite Auflage seiner Konferenz, die erstmals 2019 in Prag stattfand. Auf der Konferenz befassen sich die Sprecher mit dem Einsatz künstlicher Intelligenz (KI) zur Abwehr von Cyberangriffen und der Bewältigung moralischer und technologischer Herausforderungen im Zusammenhang mit dem Datenschutz.Bei der diesjährigen Veranstaltung werden Avast und die CTU ein hybrides Konferenzkonzept vorstellen: Eine virtuelle und vier physische Veranstaltungen werden Experten aus der ganzen Welt zusammenbringen. Die globale Veranstaltung findet am 8. Oktober 2020 gleichzeitig in Prag, London, New York City und San Francisco statt, wobei die Inhalte für die Teilnehmer weltweit live übertragen werden. Die Teilnehmer von CyberSec&AI Connected können die Konferenz entweder physisch in der ihnen nächstgelegenen Stadt oder online über ihren Computer, ihr Tablet oder Smartphone besuchen.

Agentur;     Phone: [+ 49 89 17959 18-0];     Email: avast@akima.de

Cybersicherheit, Cybersecurity, AI, KI, Künstliche Intelligenz

Software Agents and Intelligent Agents in Artificial Intelligence,    Information Security and Information Privacy

ODSC

ODSC West 2020 is going virtual! We’re thrilled to be hosting our third virtual conference October 27th-30th. Featuring 100+ hands-on training sessions and workshops, 240 speakers, and 320 hours of content, ODSC West Virtual Conference is the perfect opportunity to gain new in-demand skills and network with your peers and our renowned speakers wherever you are. Get your pass today to save 70% on your ticket to ODSC West Virtual Conference. https://odsc.com/california/#register

Phone: [+1 510 984 8238];     Email: info@odsc.com

Data Science, Artificial Intelligence, Machine Learning

BIRS-affiliated mathematics research centre, Casa Matemática Oaxaca (CMO)

The focus of the workshop is on statistical learning, algorithms, information and computational limits, in large-scale networks. The overall objective of the workshop is to develop a better understanding of the information theoretic and computational barriers to making significant inferences from large-scale network data. The topics are organized into three interrelated areas, ranging from inference problems for single graphs, to inference involving two graphs, to classification of graphs from general families.

Tipasa Smart City Association

The integration of Artificial Intelligence in Renewable Energetic systems is focused in thé kind of conférence with thé approach with Big data, smart theory ans applications on thé managérial stratège of thé compay in thé contexte of a Renewable energy système.

ICAIRES2020;     Phone: [+213773617361];     Email: icaires2020.conf@gmail.com

Smart City, IoT, Renewable energy, Artificial Intelligence, Smart grid, Micro-grid, Solar energy, wind conversion, MPPT, fuzzy Logic, Neural Network, Genetic Algorithmes. PSO.

Systems theory, Control and Automation,    Internet of Things (IoT) and Sensor Networks

The 15th Asian Conference on Computer Vision (ACCV2020) will be held in Kyoto on Nov 30 - Dec 4, 2020, which is the best season for enjoying Japanese autumn. ACCV is a leading biennial international conference mainly sponsored by Asian Federation of Computer Vision. This highly successful series provides a premier forum for researchers, developers, and practitioners to present and discuss new problems, solutions, and technologies in computer vision and related areas.

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Pattern Recognition and Image Processing, Machine Vision

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Software Agents and Intelligent Agents in Artificial Intelligence

We invite submissions for the Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020), a multi-track, interdisciplinary conference that brings together researchers in machine learning, computational neuroscience, and their applications.

Institute of Information Technology, Vietnam

In the past years, Vietnam Fuzzy Systems Society (VFSS) organized successfully many artificial intelligence and fuzzy systems in such as VJFUZZY'98, MIF'99, VJFUZZY'2001, VJMEDIMAG'2001, Intech/VJFuzzy'2002, AFSS'2004, VN-KR MEDINFO'2005. In January of 2020, we organized successfully AICI’2020 at the Thang Long University, Vietnam. In the next year, the Second International Conference on Artificial Intelligence and Computational Intelligence (AICI 2021), 15-16 January, 2021, will be organized by Institute of Information Technology, Vietnam Academy of Science and Technology with the sponsor of the International Fuzzy Systems Association (IFSA). This conference aims at bringing together researchers in Artificial Intelligence and Computational Intelligence and related topics for an opportunity to present and discuss theoretical and applied research problems as well as to foster research collaborations.

Artificial Intelligence, Big Data, Deep Learning with Biomedical & other Applications

Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic,    Natural Language Processing, Computational Linguistics

Association for the Advancement of Artificial Intelligence (AAAI)

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Courses and Events for Math Students and Early Career Researchers,    Analysis

SEG - Society of Exploration Geophysicists

The most significant contribution of this event is the Emergence of the utilization of data analytics and machine learning for geoscience. This workshop is designed to showcase the successes and challenges of practicing machine learning and data analytics in the geoscience domain to improve accuracy and efficiency of algorithms and/or workflows. For example, in addition to existing applications such as seismic geobody identification and well log data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How can machine learning algorithms and workflows be tailored to meet the specific physical constraints of geoscience data? How can we fully exploit the power of machine learning and physics-based approaches?

Geophysics and Geology,    Metrology and Instrumentation

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Kavli Institute for Theoretical Physics (KITP)

The Large Hadron Collider (LHC) is the world’s facility for probing fundamental physics at the electroweak scale and well beyond. As it enters a new phase of extended data accumulation, two broad challenges emerge: how to fulfill the potential for percent-level precision with the large dataset, and how to maximise the information that can be extracted from each event about the underlying scattering process, in particular with machine learning. Solving these problems will have an impact across a wide range of physics topics: establishing the properties of the newly discovered interactions of the Higgs sector and understanding electroweak symmetry breaking, enhancing the sensitivity of searches for physics beyond the Standard Model (BSM), and precision measurements of a range of fundamental parameters in the Standard Model.

Virtue Insight

IOT is changing the world around us and with ‘Digital India’ and the ‘Smart Cities Mission,’ is using technologies to offer a slew of smart services that are efficient, sustainable, accessible and affordable. Smart city solutions such as smart transportation, smart infrastructure, smart energy, smart communications, smart lighting etc… According to markets, the global blockchain technology is expected to rise upto $2.31bn by 2021. Research provides strong evidence that blockchain applications could transform existing business models and invent new forms of business in a profound way. Function using integrated technologies, such as IoT, cloud computing and artificial intelligence. These solutions reduce costs for governments, citizens and enterprises alike. Enterprise and industrial markets are poised to become the biggest areas where the Internet of Things will be implemented. This summit will explore the impact of the Internet of Things (IoT), AI & Blockchain on industries, such as manufacturing, transport, supply chain, insurance, logistics, government, energy and automotive.

Email: kavitha@virtueinsight.co.in

Blockchain, Artificial Intelligence, IoT, AI, interntet of things, BigData, technology, Sensors, Wireless

Internet of Things (IoT) and Sensor Networks,    Cryptography, Blockchain and Information Security

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

CIRM – Centre International de Rencontres Mathématiques

Probability and Statistics, Game Theory,    Algorithms

CIRM – Centre International de Rencontres Mathématiques