Conferences  >  Mathematics  >  Neural Networks and Artificial Intelligence, Machine Learning

Algorithms and Data Structures,    Software Agents and Intelligent Agents in Artificial Intelligence

Cognilytica

Join the December 2022 Enterprise Data & AI event with featured guest speaker Dr. Tom Davenport, Distinguished Professor of Information Technology and Management at Babson College and his presentation ‘Everyday AI for Organizations and Individuals’ on Thursday, December 1, 2022 from 11:30 AM - 1 PM ET! For organizations and enterprises looking to leverage AI, they need to make sure they understand how AI can best be adopted, the current state of AI including opportunities and challenges, as well as what it means for an organization to “go all in” with the AI strategy. In this presentation, Dr. Tom Davenport will explore the state of enterprise AI and the strategies and use cases implemented by both large and small organizations. He will also discuss what it’s really like working with AI and what this means for the future of work from his new book “Working with AI”. He will also share insights on the aggressive adoption of AI by legacy firms and what it means to “go all in” on AI. Be sure to stick around for Q&A with Dr. Davenport! Register and attend for free on the Cognilytica website.

This multi-, inter-, and transdisciplinary conference is expected to grow into the premier AI conference in Southern Africa and will bring together nationally and internationally established and emerging researchers from across various disciplines including Computer Science, Mathematics, Physics, Statistics, Informatics, Humanities and Philosophy. The conference will, as in the past, also focus on growing a formidable network of talented students working in AI from across Africa.

Sponsored by: -The Hong Kong University of Science and Technology (Guangzhou) -Nanjing University of Information Science and Technology

Email: contactpco@qq.com

Machine Learning for VR/AR/MR; Robotics and Tele-Presence; Aural, Haptic and Olfactory Augmentation; Geometrically, Physically and Image Based Modeling; Real-time Visual Tracking and Registration; Collaborative and Interactive Virtual Environment/VR; Multimodal Interface; Visual Interface; Speech Interface;

International Association of Computer Science and Information Technology

2022 5th International Conference on Future Learning (ICFL 2022) will be held at University of Lincoln, UK during December 16-18, 2022.

Phone: [+86-18302820449];     Email: aimee@iacsit.net

Adaptivity in Learning Systems; Advanced Uses of Multimedia and Hypermedia; Architecture of Context Aware Learning Technology Systems; Artificial Intelligence Tools for Contextual Learning; Building Learning Communities; Concretizing Technologies (e.g. Robotics) in Learning; Educational Modelling Languages / Learning Design; Educational Paradigms; Evolution in Teacher Roles through Technology;

10th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

Artificial Intelligence, • AI Algorithms, • 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, • Hybrid Intelligent Systems, • Information Retrieval, • Intelligent System Architectures, • Knowledge Representation, • Knowledge-based Systems, • Mechatronics, • Multimedia & Cognitive Informatics, • Neural Networks, • Parallel Processing, • Pattern Recognition, • Pervasive Computing and Ambient Intelligence • Programming Languages • Recent Trends and Developments • Robotics • Soft Computing Theory and Applications • Software & Hardware Architectures, • Web Intelligence Applications & Search, • Semantic Web Techniques and Technologies, • Fuzzy Logic Techniques & Algorithm, • Fuzzy Mathematics, • Fuzzy Measure and Integral, • Type 2 Fuzzy Logic, • Possibility Theory and Imprecise Probability, • Fuzzy Database, • Fuzzy Clustering, • Fuzzy Decision Support System, • Fuzzy Expert System, • Fuzzy Mathematical Programming, • Fuzzy Decision Making and Decision Support Systems, • Fuzzy Modeling and Fuzzy Control of Biotechnological processes, • Fuzzy Neural Systems, Neuro-fuzzy Systems, • Fuzzy Systems Modeling and Identification,

ACMSC

2022 5th Artificial Intelligence and Cloud Computing Conference (AICCC 2022) will be held during 17-19 December, 2022 in Osaka, Japan. This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of Artificial Intelligence and Cloud Computing. It will put special emphasis on the participations of PhD students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas.

Email: amychou2020@163.com

Intelligent System Architectures; Knowledge Representation; Knowledge-based Systems; Mechatronics; Multimedia & Cognitive Informatics; Neural Networks; Parallel Processing; Pattern Recognition; Pervasive Computing and Ambient Intelligence; Programming Languages Artificial Intelligence; Soft Computing and Applications;

ACMSC

2023 4th International Conference on Computer Vision and Computational Intelligence (CVCI 2023) will be held in Bangkok, Thailand during January 12-14, 2023.

Email: amychou2020@163.com

Latest Developments in Computational Intelligence; Business Process Intelligence; Smart City Technologies; Computational Intelligence in Machine-driven Engineering; Automation, Mechatronics and Robotics; Computer based Manufacturing Technologies; Computational Intelligence in Space Science; Intelligent Avionics; Action Recognition; Big data and Large Scale Methods; Biometrics, face and gesture; Biomedical image analysis;

Institute for Pure and Applied Mathematics (IPAM)

For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

Applied Mathematics (in general),    Modeling and Simulation

Recent years have witnessed the evolution of Artificial Intelligence [AI] techniques like deep learning, machine learning, pattern recognition, Natural language processing [NLP], and computer vision and their revolutionary applications in the emerging smart city and industrial automation applications. In this scenario, AI provides smart and efficient tools for smart energy systems to perform smart electricity generation, emergency response, and delivery. The integration of renewable energy sources into the smart grid is made easier by using Artificial intelligence technologies. Meanwhile, Machine Learning the subset of Artificial intelligence provides some security and privacy assessment tools to the evolving smart energy grids.

Phone: [8754818524];     Email: conf.icaisee@gmail.com

Artificial Intelligence Capsule Networks Smart Agent-based Systems Machine Learning Fuzzy based Intelligent Systems Evolutionary Computing Expert Systems Human-Computer Interaction Technologies Cognitive Intelligence Smart Systems Deep Learning based Smart Energy Systems Innovative Energy Control and Management Techniques AI in Renewable Energy Systems Smart Power and Energy Systems Distributed Energy Systems Active Power Generation Models

Institute for Pure and Applied Mathematics (IPAM), UCLA

In recent years, the use of Machine Learning techniques to Operations Research (OR) problems, especially in the Discrete Optimization (DO) a.k.a. Combinatorial Optimization context, opens very interesting scenarios because DO is the “home” of an endless list of decision-making problems that are of fundamental importance in multitude applications. The workshop will bring together experts in mathematics (optimization, graph theory, sparsity, combinatorics, statistics), operations research (assignment problems, routing, planning, Bayesian search, automation, scheduling), machine learning (deep learning, supervised, self-supervised and reinforcement learning) and artificial intelligence at large (including multi-agent systems, interpretability, fairness, etc.).

Graph Theory and Combinatorics,    Optimization Theory, Operational Research

Hochschule Ruhr West

The global diffusion of AI technology is progressing. The conference focuses on the economic perspective: It will address the regulatory framework and the implications for economies, strategic approaches to the use of AI as well as changing business models, business functions and processes.

Programme and Organisation Committee;     Email: info@epe.ai

Business, Economics, Artificial Intelligence, Economic Perspective, Digitalisation, Digital Transformation, Management.

DataScienceToday

The aim of this Workshop is to provide an overview of recent advances and challenges in artificial intelligence, internet of things and their integration, and in particular to solicit contributions on real-world applications. Furthermore, this workshop offers an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area.

The 3rd International Workshop on Artificial Intelligence & Internet of Things (A2IOT’2023) will be held in conjunction with The 4th International Conference on Intelligent Systems for Cyber Threat Intelligence, 13-15 March 2023, Marrakech Morocco

CIRM – Centre International de Rencontres Mathématiques

Modeling and Simulation,    Genomics and Bioinformatics

ACM, University of Tours, University of Milan, University Cattolica del Sacro Cuore

The ACM Symposium on Applied Computing (SAC 2023) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2023 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Tallinn, Estonia.

Organizer;     Email: jianyi.lin@unicatt.it

graphs, neural networks, deep learning, pattern recognition, data fusion, explainable AI

Pattern Recognition and Image Processing, Machine Vision,    Multidisciplinary or General Events in Informatics

part of EvoStar (Evo*)

The 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) 2023 is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Intelligence techniques in creative and artist fields. There is a growing interest in the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in fields such as: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks. Therefore, the use of Artificial Intelligence in such creative domains became a significant and exciting area of research. EvoMUSART provides the opportunity to present, discuss and promote innovative contributions and ongoing work in the area.

International Association of Computer Science and Information Technology

We are pleased to announce that the 2nd International Conference on Artificial Intelligence and Software Engineering (ICAISE 2023) will be held in Xi'an, China during April 21-23, 2023. You are invited to join us for ICAISE to contribute to the open learning environment of the event. We are accepting paper submissions, poster presentation submissions, and listener registrations. Whether you want to share the findings of your latest research with the international group of peers or learning from fellow researchers, scientists, and scholars, we can't wait to see you at ICAISE 2023 in Xi'an, China.

Email: aimee@iacsit.net

Artificial Intelligence in Scheduling and Optimization; Artificial Life; Bioinformatics and Computational Biology; Brain-Machine Interfaces; Cloud and Service-oriented Computing; Cognitive Systems and Applications; DevOps and Container; Differential Evolution; Embedded Real-time Systems; Empirical Software Engineering; Fuzzy Pattern Recognition; Fuzzy Systems for Robotics;

Casa Matemática Oaxaca (CMO)

This workshop will focus on developing novel statistical methodology to analyze brain signals, which is crucial to understanding normal brain function and alterations associated with neurological and mental diseases. Brain signals are complex and are a reflection of the complexity of the unobserved brain processes. Thus, the primary considerations for developing statistical models are flexibility, generalizability, and incorporation of known biology. In this workshop, we will discuss the most recent challenges in this area and how the current methods need to be improved to better describe the observed brain signals.

Open Data Science Conference

ODSC East 2023 is a conference dedicated to the latest languages, tools, and frameworks in data science, AI, ML and DL.

Event lasts 3 days, including an extra day for the mini-bootcamp. Choose from in-person or virtual tracks based on your needs. Please be advised agendas are different for each tracks.

Accelerate your ML/DL, NLP and Data Engineering knowledge, training, and network all in one event. ODSC is community-based event and everyone can find something useful and interesting for themselves.

If you need corporate team advance sales or looking for advance ticket purchases , email us at info@odsc.com

Email: iryna@odsc.com

Data Science, Machine Learning, AI

International Association of Computer Science and Information Technology

The 15th International Conference on Digital Image Processing (ICDIP 2023) will be held in Nanjing, China during May 19-22, 2023, which is hosted by College of Computer and Information Technology Engineering, Hohai University, China.

Email: aimee@iacsit.net

Image & Video Analysis and Segmentation; Cyclo-stationary Signal Analysis; Neural Networks for Signal Processing; Image & Video Coding and Transmission; Data Mining Techniques; Noise Control; Image & Video Labeling and Retrieval; Deep Learning for Images and Video; Nonlinear Signals and Systems; Image & Video Perception and Quality Models; Discrete Hilbert Transforms; Pattern recognition and analysis; Image and Video Compression; Document Analysis; Pattern Recognition in New Modalities;

Pattern Recognition and Image Processing, Machine Vision,    Multimedia, Computer Graphics and Visualization, Games

CCAI 2023 is co-sponsored by Beijing CAS Spark Institute of Information Technology(SIIT), host by Taiyuan University of Technology, China and North China University of Technology, China.

Secretary;     Email: brandon@saise.org

Artificial Intelligence and Machine Learning; Blockchain Technology; Computer Architecture; High-Performance Computing; Information and Its Technical Education; Mobile and Ubiquitous Computing; Parallel and Distributing Computing; Software Engineering and Knowledge Engineering; Virtual Reality and Visualization;

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;     Phone: [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)

Scientific Computing and Data Science,    Information & Knowledge Management, 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.

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.

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.

Modeling and Simulation,    Scientific Computing and Data Science

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.

Molecular Biology,    Neurology

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

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

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,    Complex Networks

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

Geophysics and Geology,    Information & Knowledge Management, Big Data Computing

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.

Astronomy, Astrophysics and Cosmology,    Number Theory, Arithmetic

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.

High Energy Physics, Particles and Fields,    Astronomy, Astrophysics and Cosmology

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.