Konferenzen  >  Mathematik  >  Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Algorithmen und Datenstrukturen,    Software-Agenten und künstliche Intelligenz

Pollica Physics Center

Artificial intelligence (AI) is revolutionizing both the technological industries and fundamental sciences. While breakthroughs in long-standing and more applied problems such as playing Go or protein folding have been well-publicized, important progress has been achieved in theoretical physics through AI techniques. For example, it provides a new way for simulating lattice QCD with matter in four dimensions, or to address issues related to building string compactifications and string field theory, while also solving difficult mathematical questions (such as building a Calabi-Yau metric or solving the accessory parameter problem in Poincaré uniformization for Riemann surfaces). On the other hand, AI algorithms are notoriously resource-consuming and their results are difficult to interpret, which is a major hurdle for scientific discovery. Physics provides a natural framework to construct an effective theory of learning and improve our understanding of AI and its performances. The objective of this interdisciplinary workshop is to bring researchers of these different areas together to improve the transfer of knowledge, techniques and ideas in order to provide deeper insights into fundamental aspects of our Universe, the scientific discovery process, and artificial intelligence.

European Molecular Biology Laboratory | EMBL

The advent of deep learning has brought a revolution in the field of computer vision, including most tasks and research questions concerned with microscopy image analysis. Neural networks have been successfully used for image restoration, classification and segmentation, for the detection of objects and characterisation of their morphology, for high-throughput imaging and large-scale processing in 3D. Despite these advances, training and deployment of such neural networks remains difficult for practitioners of image analysis. The aim of our course is to close this gap and teach the participants – in the most hands-on way possible – to apply deep learning-based methods to their own data and image analysis problems.

Biologie,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen

ICERM

MSML2023 is the third edition of a newly established conference, with emphasis on promoting the study of mathematical theory and algorithms of machine learning, as well as applications of machine learning in scientific computing and engineering disciplines. This conference aims to bring together the communities of machine learning, applied mathematics, and computational science and engineering, to exchange ideas and progress in the fast-growing field of scientific machine learning (SciML).

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

The objective of this annual conference series is to promote the study of: Theory and algorithms of machine learning. Applications in scientific and engineering disciplines such as physics, chemistry, material sciences, fluid and solid mechanics, etc. To provide hands-on tutorials for students and new researchers in the field.

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

Wissenschaftliches Rechnen und Datenwissenschaft,    Informations & Wissensmanagement, Big Data Computing

Mathematical Sciences Research Institute (MSRI)

The overarching goal of this summer school is to expose the students both to modern forms of unsupervised learning — in the form of geometrical and topological data analysis — and to supervised learning — in the form of (deep) neural networks applied to regression/classification problems. The organizers have opted for a lighter exposure to a broader range of topics. Using the metaphor of a meal, we are offering 2 + 2 samplers — geometry and topology for data analysis + theoretical and practical deep learning — rather than 1 + 1 main dishes. The main goal, thus, is to inspire the students to learn more about one or several of the topics covered in the school.

Open Data Science Conference

ODSC Europe 2023 is one of the largest applied data science conferences. Our speakers include core contributors to many open source libraries and languages. Attend ODSC Europe 2023 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field.

Email: iryna@odsc.com

Data Science, Machine Learning, NLP, Deep Learning

ACMSC

2023 5th Asia Symposium on Image Processing will be held in Tianjin, China during June 15-17, 2023. It is sponsored by Tianjin University of Technology and Education, China. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Image Processing. Welcome scholars and researchers working in the field of Image Processing from all over the world to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

Email: amychou2020@163.com

3D imaging; Advanced descriptors and similarity metrics for images, audio and video; Affect-based indexing, search, and retrieval of images & videos ; Case studies and emerging technologies ; Classification and clustering techniques ; Color and texture ; Compression methods ; Image-based modeling and algorithms; Immersive virtual reality ; Integration of virtual reality and multimedia; Interactive digital media; Interactive techniques; Knowledge-based recognition;

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

This workshop aims to bring together a diverse, multi-disciplinary cross-section of pioneering researchers to foster a community, share ideas, and work together to build a lasting mathematical and social foundation. The key themes of this workshop include i) neural network design and approximability; ii) modeling, inference, prediction, and data assimilation; and iii) high-performance algorithms and scalability. The participants of this workshop possess complementary expertise in numerical analysis, approximation theory, functional analysis, probability theory, nonlinear programming, high-performance computing, computer science, statistics, engineering, and industrial applications. Putting all this knowledge together will create a synergy of effects that will profoundly impact the rigorous development of new and lasting machine learning methods for scientific computing applications.

Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 

Wissenschaftliches Rechnen und Datenwissenschaft,    Berufliche Laufbahn und Management

Institute for Molecular Genetics and Genetic Engineering

The Belgrade Bioinformatics Conference (BelBi2023) is scheduled for June 19-23, 2023, in Belgrade, Serbia, as a hybrid event. This five-day conference will include keynote and invited talks by experienced experts, oral and poster presentations, and workshops. The main goal of the BelBi conferences is to foster contacts between scientists to share experiences, disseminate the latest information on advances in their fields, gain and increase the visibility of their research, and bring young researchers together with peers and senior colleagues. We sincerely hope that BelBi2023 will serve as an international platform for researchers from around the world to meet, initiate new collaborations, and expand professional contacts. We look forward to welcoming you to Belgrade for this inspiring conference!

Email: info@belbi.bg.ac.rs

Biological Data, Biomedical Informatics, Theoretical Approaches to Bioinformation Systems (TABIS)

Genomforschung und Bioinformatik,    Systembiologie und mathematische Biologie

Mathematical Sciences Research Institute (MSRI)

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

In this workshop, we will explore how the research realms of generative modelling and 3D neural representations can benefit from each other, as well as explore novel applications in different areas of science and technology.

Simulation,    Wissenschaftliches Rechnen und Datenwissenschaft

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

A long-standing question in the neurobiology of learning is that of timescales. The brain can associate events that are separated by seconds, minutes, hours, days, weeks, or longer. Yet, the known biological mechanisms for inducing changes in the synaptic connections between neurons are driven by neural events that are separated by typically no more than a few tens or hundreds of milliseconds. This conference will convene scientists studying the molecular, cellular, and circuit-level mechanisms used by the brain to bridge the multiple timescales across which events play out in the experience of an individual. The goal will be to assemble an up-to-date understanding of the set of biological mechanisms available in the brain to support associative learning across different timescales. The conference's emphasis on biological mechanisms will complement and support the main program’s more computational focus, and encourage an integrated analysis of statistical learning spanning molecular, cellular, circuit, and behavioral-level phenomena.

Molekularbiologie,    Neurologie

ACMSC

2023 5th International Artificial Intelligence Technology Conference aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Artificial Intelligence Technology Conference. It will be held in Tianjin, China during 14-16 July, 2023.

Email: amychou2020@163.com

Artificial Intelligence tools & Applications; Automatic Control; Bioinformatics; Natural Language Processing; CAD Design & Testing; Computer Vision and Speech Understanding; Data Mining and Machine Learning Tools; Fuzzy Logic; Heuristic and AI Planning Strategies and Tools; Computational Theories of Learning;

ACMSC - SPML 2023 is co-organized by Tianjin University of Science and Technology and China University of Mining and Technology (Beijing).

2023 6th International Conference on Signal Processing and Machine Learning (SPML 2023) will be held in Tianjin, China during 14-16 July.

Email: amychou2020@163.com

Computer Vision & Virtual Reality; Image Processing & Understanding; Image/Video Processing and Coding; Natural Language Processing; Machine learning methods; Learning in process automation; Learning of appropriate behaviour; Learning of action patterns; Learning robots; Signal processing theory and methods; Adaptive Filtering & Signal Processing; Analog and Mixed Signal Processing;

Mulitimedia und Computergrafik, Spiele,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen

Harokopio University of Athens, Kallithea, Greece

IEEE BigDataService

Call for Paper (Deadline of Workshop Proposals has been extended) - The 9th #IEEE #BigDataService in #Athens, #Greece, July 17-20, 2023 IEEE BigDataService 2023: https://lnkd.in/gkdfwzNSCall For Paper: https://lnkd.in/gQRipDUA

Email: kulla@fit.ac.jp

Big Data, Machine learning, Artificial Intelligence, Computer Science

University of Salento - AVR Lab

The International Summer School is focused on the synergy of XR&AI technologies for cultural and territorial heritage, medicine and industry. The School is open to Ph.D. and Master students, post-doctoral researchers, and academic or industrial researchers.

Organizing Committee;     Email: xr-ai-school@xrsalento.it

Augmented Reality, Virtual Reality, Mixed Reality, Extended Reality, Artificial Intelligence

Kurse und Veranstaltungen für Studenten der Mathematik,    Kurse und Veranstaltungen für Physikstudenten

CIRM – Centre International de Rencontres Mathématiques

Scientific Machine Learning (SciML) is a relatively new research field based on both machine learning (ML) and scientific computing tools. Its aim is the development of new methods to solve several kinds of problems, which can be forward multidimensional partial differential equations, identification of parameters, or inverse problems. The methods we seek must be robust, reliable and interpretable. The new SciML tools allow the natural inclusion of data in the numerical simulation in order to generate new results.

Kurse und Veranstaltungen für Studenten der Mathematik,    Wissenschaftliches Rechnen und Datenwissenschaft

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

We have lately witnessed one-after-another ground-breaking developments in the AI world. Data science is the essence of this world and perhaps the fastest expanding domain. At the same time, data science is born from the interaction of multiple research areas including statistics and machine learning. The fundamental statistical principles formed a pillar of data science in the beginning and remain pivotal for its healthy growth. The powerful algorithms developed in computer science keep data science practically relevant and central in Big Data analytics. Promoting the interactions between these two areas will undoubtedly further advance the development of data science. Latent structure models are powerful products of statistical principles and offer a simple yet effective platform to capture the complexity and heterogeneity in big data. Their usage goes beyond any single discipline, and naturally integrates the advantages of various areas such as statistics, economics and machine learning. This workshop brings together researchers with expertise in latent structure learning and provides a platform to share their achievements, exchange research ideas, and build new collaborations. We wish to promote the use of latent model techniques and simulate further development of highly interpretable, reproducible, and powerful AI methods. The workshop covers a broad range of topics in the latent structure model: theory, algorithms, and applications. We will also set eyes on future research trends and interdisciplinary directions.

Fora Group

Over three days, Ai4 2023 gathers 1700+ business leaders and data practitioners and 250+ speakers to facilitate the responsible adoption of artificial intelligence and machine learning technology. Join us at the industry’s most impactful AI event.

Customer Service;     Tel.: [(929) 376-7732];     Email: info@ai4conferences.com

artificial intelligence, machine learning, ai, ml, neural network, finance, healthcare, retail, cybersecurity, technology, tech

Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 

Wissenschaftliches Rechnen und Datenwissenschaft,    Berufliche Laufbahn und Management

Singidunum University

Supported by Singidunum University, the 5th International Conference on Machine Learning and Intelligent Systems (MLIS 2023) will be held during August 14th-17th, 2023 in Singidunum University, Belgrade, Serbia. The event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances and to strengthen the links in the scientific community. The plenary session of MLIS2023 will include Keynote Speeches, Invited Speeches, Poster Presentations and Oral Presentations.

Conference Secretariat;     Tel.: [+86 13618614937];     Email: info@machinelearningconf.org

Computational Intelligence, Data Mining, Deep Learning, Expert Systems, Human Computer Interaction, Image Processing, Natural Language Processing, Neural Networks, Pattern Recognition, Robots, Sentiment Analysis, Signal Processing, Video Processing

Software-Agenten und künstliche Intelligenz,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen

The 2023 5th International Conference on Blockchain Technology (ICBCT 2023) is organized by Guilin University of Electronic Technology, China and co-organized by Shanghai Jiao Tong University, China.

2023 5th International Conference on Blockchain Technology (ICBCT 2023) will be held in Guilin, China organized by Guilin University of Electronic Technology and co-organized by Shanghai Jiao Tong University, China during August 18-20, 2023.

Email: geoff@iedrc.net

Artificial Intelligence and Machine Learning; Blockchain based AI and Robotics Technologies; Blockchain based AI and cloud computing; IoT and Cyber-Physical Systems; Blockchain-based IoT Applications and Services; Blockchain-based Internet of Things architectures and protocols; Big DataBlockchain in Data Fusion; Blockchain Analytics and Data mining; Distributed data store for blockchain; Distributed transaction for blockchain;

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

This workshop focuses on addressing general theoretical problems that underpin cutting-edge applications of linear algebra, including low-rank approximation and tensor decomposition, optimization, machine learning, nonlocal network dynamics, and uncertainty quantification. By bringing together experts from these different communities at a BIRS workshop, new insights in applied linear algebra will be brought to these challenging problems, which we expect to generate significant advances to state-of-the-art computational algorithms in the next decade.

Algebra,    Komplexe Netzwerke

University College Cork & TC309 Machine Learning and Big Data

The theme of the symposium is Data-centric solutions for reshaping the next generation geo-industries and the symposium is hosted by ISSMGE Technical Committee of Machine Learning & Big Data (TC309).

Development of benchmark datasets for geoscience and geo-industries - Development and application of innovative geotechnical monitoring technologies to subsurface engineering and geoscience - Gathering and processing of big data and metadata in geoscience and geoengineering - Big geodata mining, generation of big geodata by computational methods and etc. - Development and optimisation of machine learning algorithm for geoscience and geotechnics - Applying artificial intelligence to site investigation and geo-materials behaviour - Application of machine learning and data analytics for design, construction, maintenance of geotechnical assets during the whole-life cycle - Role of visual data analytics, virtual reality and data-centric technology in geosciences and beyond

Geophysik und Geologie,    Informations & Wissensmanagement, Big Data Computing

AI World Barcelona

AI World Barcelona is the world's largest and most important conference dedicated to the exciting field of generative AI and autonomous agents. Stay ahead of the curve on ecosystems like ChatGPT, AutoGPT, DALL-E, Midjourney, Stable Diffusion, Bard and many more. With an impressive lineup of keynote speakers, panels, and workshops, you’ll have the opportunity to network with startups, top industry experts and researchers. At AI World Barcelona you'll learn about the latest breakthroughs in this exciting field, brainstorm with like-minded professionals, and discover new ways to leverage these technologies to create revolutionary new services disrupting entire industries.

Tel.: [+4874817977 WhatsApp];     Email: olena@ai-world-barcelona.com

Natural Language Processing, Computer Vision and Image Generation, Reinforcement Learning and Autonomous Agents, Ethical Considerations and Responsible AI, Industry Applications and Case Studies, Generative Adversarial Networks, Generative AI in Healthcare, Generative AI for Data Augmentation, Privacy and Security in Generative AI, Human-AI Collaboration, Generative AI in Education, Industry Trends

Software-Agenten und künstliche Intelligenz,    Verarbeitung Natürlicher Sprache, Computerlinguistik

Taylor’s University

In recent years, evolutionary computation has been extensively utilized to find effective solutions to a wide range of computationally difficult problems for which ad hoc heuristics may not exist. Novel nature-inspired algorithms have been introduced and it is also effectively applied to real-world challenges with the advent of evolutionary algorithms. As a subfield of computational intelligence, evolutionary artificial intelligence uses computational models of evolutionary processes as the key element in design and implementation. Many evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, evolutionary programming and swarm intelligence.

Tel.: [7708233150];     Email: iceai.contact@gmail.com

Centre de recherches mathématiques (CRM)

This workshop will be focused on bringing together international experts in both the broad computational neuroscience with others from machine learning.

Mit dem Ziel, den Herausforderungen der Digitalisierung in der naturwissenschaftlichen Grundlagenforschung schnell und zukunftsorientiert zu begegnen und exzellente Forschung in und aus Deutschland zu fördern, legt das Bundesministerium für Bildung und Forschung (BMBF) als Teil des 2017 veröffentlichten Rahmenprogramms „Erforschung von Universum und Materie – ErUM“ den Aktionsplan ErUM-Data fest. Der Aktionsplan ErUM-Data schafft Voraussetzungen für die naturwissenschaftliche Grundlagenforschung von morgen und fördert eine koordinierte Herangehensweise und breite Verständigung. Langfristiges Ziel ist es, den Weg zu übergeordneten Lösungen zu ebnen und optimale Bedingungen für eine effiziente und finanzierbare Datenverarbeitung und -verwertung zu schaffen. Der einfache Zugang zu Daten und Werkzeugen ist eine zentrale Säule des Aktionsplans. 

Wissenschaftliches Rechnen und Datenwissenschaft,    Berufliche Laufbahn und Management

The Active Training Course "Advanced Deep Learning" is hosted by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub.

The intensive course on Graph Neural Networks, Transformers, Normalizing Flows and Autoencoders will be held from Monday 25.9.23 to Thursday 28.9.23. The course includes a challenge to be worked out and presented by participant subgroups. The workshop is aimed at deep-learning enthusiasts from all ErUM communities (Research on Universe and Matter) who have prior knowledge of neural networks and applied basic concepts of deep learning. 

Kurse und Veranstaltungen für Studenten der Mathematik,    Kurse und Veranstaltungen für Physikstudenten

Isaac Newton Institute for Mathematical Sciences (INI)

This workshop aims to bring together researchers from number theory, automorphic representation theory and string theory to explore how automorphic forms that encode degeneracies of BPS could be related to and feed into information theoretic concepts such as quantum error corrections, applied to BPS and near-extremal black hole backgrounds, and to develop machine learning techniques to unveil some of the hitherto undefined automorphic structures underlying the generating functions for BPS black hole microstates in superstring models. This event is the first workshop of the 4-month long BLH programme at the INI centred around the same topics.

Astronomie, Astrophysik und Kosmologie,    Zahlentheorie, Arithmetik

ACMSC

2023 4th International Artificial Intelligence and Blockchain Conference (AIBC 2023) will be held during 27-29 October, 2023 in Aizu-Wakamatsu, Japan.

Email: amychou2020@163.com

Information Retrieval; Intelligent System Architectures; Mechatronics; Enterprise asset management with IoT and blockchain; Facilities management with IoT and blockchain; System engineering with IoT and blockchain; IoT platform based on blockchain; Alternative proof of work algorithms; Cyberattacks on blockchains; Economic impact on cyberattacks; Neural Networks; Parallel Processing; Pattern Recognition;

Frontiers in Machine Learning in Cosmology and Particle Physics 2023 is a workshop on the latest machine learning developments in the domains of cosmology and particle physics. It takes inspiration from the influential workshop series "Hammers & Nails", organised every other year by the Weizmann Institute of Science, Israel.

Teilchenphysik und Felder,    Astronomie, Astrophysik und Kosmologie

Are you ready to experience the leading data science & AI conference as it returns to San Francisco? Accelerate your career with hands-on training, demo talks, workshops, networking events, nine tracks, and more. The ODSC West in-person conference will feature expert-led, hands-on instruction in in-demand topics and tools, including: NLP | Python | Responsible AI | TensorFlow | PyTorch | Conversational AI | OpenAI | Cybersecurity | Data Visualization | scikit-learn | MLOps | Data Engineering | Machine Learning | and much more

Email: iryna@odsc.com

Isaac Newton Institute for Mathematical Sciences (INI)

This workshop aims to bring together researchers in solution-generating techniques and integrability, as well as Riemann-Hilbert factorization problems in gravity. It will also bring in expertise in AI and machine learning as a tool, especially in solving factorization problems, and in developing new matrix factorization methods that will be of service to solving gravitational PDEs. This event is the second workshop in a 4-month long BLH programme at the INI centred around the same topics.

Asia Society of Researchers

Welcome to the official website of the 2023 9th International Conference on Robotics and Artificial Intelligence (ICRAI 2023) which was established in Singapore in 2015. This year, ICRAI 2023 will be held in Singapore on November 17-19, 2023.

Email: adam@asr.org

Aerial and Underwater Robotics; Bio-inspired Robotics; Cable Robots, Cognitive Robotics; Cognitive Approach for Robotics; Collaborative Robotics; Collective and Social Robots; Control and Supervision Systems; Human-Robots Interfaces; Humanoid Robots; Humanoids;

Moulay Ismail University, Faculty of sciences and Technic,Morocco

The objective of bringing together innovative scientists, professors, research scholars, students and industrial experts in the field of Artificial Intelligence and Smart Environments in a common forum. The primary goal of the conference is to promote the exchange of innovative scientific information between researchers, developers, engineers, students, and practitioners. Another goal is to promote the transformation of fundamental research into institutional and industrialized research and to convert applied exploration into real-time application. Overall, the conference will provide the researchers and attendees with prospects for national and international collaboration and networking among universities and institutions from Morocco and abroad for promoting research.

Tel.: [0672377651];     Email: y.farhaoui@fste.umi.ac.ma

Software-Agenten und künstliche Intelligenz,    Internet der Dinge (IoT) und Sensornetze

ETPUB

2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI). The Conference will be held in Mexico City, Mexico during November 25-26, 2023. ISCMI 2023 is organized by India International Congress on Computational Intelligence(IICCI), and technically co sponsored by IEEE Mexico Section, IEEE Mexico Council and Mexico Chapter of IEEE Computational Intelligence Society.

Email: helen@academic.net

Ant Colony Optimization and Swarm Intelligence; Artificial Immune Systems; Artificial Intelligence; Artificial Life; Associative Memory; Automatic Annotation; Bioinformatics and Biological Computing; Case-Based and Temporal Reasoning; Cognitive Science; Connectionism; Data Fusion; Data Mining and Data Fusion;

International Association of Computer Science and Information Technology

International Conference on Medical Computer Vision and Robotics (MCVR 2023) will be held in Ningbo, China during December 8-10, 2023. It is hosted by the Cixi Institute of BioMedical Engineering.

Email: aimee@iacsit.net

Medical Image Analysis; Segmentation and feature extraction in medical images; Biomedical Signal and Image Processing; Signal processing and analysis of physiological data; Hyperspectral imaging for medical diagnosis; Machine Learning and Artificial Intelligence; Deep learning for medical image analysis; Computer-Assisted Surgery; Virtual and Augmented Reality in Medicine; Medical Robotics and Automation;

Co-sponsored by Sensors and Systems Society of Singapore and Beijing Institute of Control Robotics and Intelligent Technology, hosted by Robotics Society of Singapore.

The Conference Committee warmly invites you to join us at 2023 the 3rd International Conference on Robotics, Automation and Artificial Intelligence (RAAI 2023), which will be held in Singapore during December 14-16, 2023.

Email: riorob@robotics.ac.cn

Artificial intelligence; Artificial muscle actuators; Augmented reality; Chaotic systems and control; Computational intelligence; Control applications; Digital/sampled-data control; Discrete-event systems; Emerging technology; Evolutionary computation; Feature extraction; Functional safety; Fuzzy and neural systems; Ground robotics;

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Kurse und Veranstaltungen für Studenten der Mathematik,    Statistik, Spieltheorie

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

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

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Kurse und Veranstaltungen für Studenten der Mathematik,    Software-Agenten und künstliche Intelligenz

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

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Kurse und Veranstaltungen für Studenten der Mathematik,    Astronomie, Astrophysik und Kosmologie