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

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

Galileo Galilei Institute

Machine learning (ML) is nowadays an important toolbox for theoretical and experimental physics, and its importance is expected to steadily grow in the coming years. Thanks to its effectiveness and extreme flexibility, it allows for applications covering a huge set of topics, ranging from statistical data analysis, to simulation and modeling. For this reason ML has been successfully used in very different research areas, such as high-energy physics, astrophysics and cosmology, condensed matter and statistical physics. Applications in different domains often share strong similarities either in the problems to be solved or in the methodology employed. This motivates a fruitful exchange of ideas, which however is seldom achieved in practice due to the distance among different research communities. The aim of the workshop is to bring together researchers with interests and expertise in ML from different fields in physics, strongly encouraging and promoting cross-topic exchange of ideas and collaborations.

Declarative AI 2022 brings together the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), DecisionCAMP 2022, and the 18th Reasoning Web Summer School (RW 2022). It will take place at Berlin during 26 Sept - 30 Sept, 2022. With its general topic "Declarative AI", the event aims at presenting the latest advancements in AI and rules, reasoning, decisions, and explanations and their adoption in IT systems towards improving key fields such as environment, health and societies.

Rules, Reasoning, Decisions, and Explanations

University of Konstanz, HTWG Konstanz

The DAGM German Conference on Pattern Recognition (DAGM GCPR) 2022 is the 44th annual symposium of the German Association for Pattern Recognition (DAGM). It is an international premier venue for recent advances in pattern recognition including image processing, machine learning, and computer vision and welcomes submissions from all areas of pattern recognition. This year, it will be held jointly with Vision, Modeling and Visualization (VMV) 2022 in Konstanz.

Organizers;     Email: gcpr-vmv-2022@uni-konstanz.de

Image and video processing and analysis, computer vision, machine learning, pattern recognition, computational photography, biomedical image processing, robot vision, computer vision systems and applications

Cognilytica

CPMAI certification is the fastest growing certification for AI & ML project managers. CPMAI v6.0 training and certification is designed for project managers and those involved with AI projects looking to enhance their skill set and learn how to manage AI and advanced data projects with a proven, best practices methodology. Whether you are a student, currently in between jobs, looking to move to a project management role, or are an established project manager, CPMAI certification is for you. The CPMAI methodology is the industry’s best practice methodology for successful AI & ML projects. Cognilytica’s CPMAI training and certification prepares you for a career in AI and ML project management, giving you the tools you need to succeed with your AI & ML efforts, whether you’re just beginning your AI project management journey or are well down the road with implementation. Cognilytica’s CPMAI Certification is appropriate for people with different roles and levels of expertise.

Cognilytica

Enterprise Data & AI is excited to announce the October 2022 featured presentation ‘AI at Shell’ by featured guest speakers Prakalp Somawanshi, Principal AI Engineer and Naveen Kapoor, Senior Machine Learning Engineer at Shell on Thursday, October 6, 2022 from 11:30 AM - 1 PM ET!

Shell is an international energy company that aims to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally, and socially responsible. Powering Progress sets out their strategy to accelerate the transition of our business to net-zero emissions. It has four main goals in support of their purpose, generating shareholder value, achieving net-zero emissions, powering lives and respecting nature. It is underpinned by their core values and focus on safety.

Digital technologies are improving the experience of their customers and making Shell a more efficient business. This digital transformation of the energy industry is improving efficiency and safety, and it is facilitating the increased use of renewable energy. Shell is actively working on a range of digital technologies, including robotics, 3D printing, cloud computing, advanced analytics, Blockchain, High Performance Computing and AI/ML. From machine learning to computer vision, deep learning to virtual assistants and autonomous vehicles to robotics, Shell has been focused on a range of technologies that have supported advances in AI. Many of the algorithms behind AI and machine-learning systems are not new but limited volumes of accessible data have hampered their application. Easy access to vast data volumes at Shell is making many AI algorithms smarter. Shell is developing and deploying Machine Learning / Deep Learning solutions, developing MLOps practices and applying engineering principles to scale and productionize developed solutions for different business units – Upstream, Downstream, Integrated Gas, Power, and New Energies. In this talk, Prakalp and Naveen will share their experience, learnings and the processes they follow in delivering AI technology solutions in collaboration with external technology providers.

Be sure to stick around for Q&A with Prakalp and Naveen!

Scientific Computing and Data Science,    Conventional and Renewable Energy Production

Rohini College of Engineering and Technology,Kanyakumari

The emerging modern mobile robotic systems and intelligent information systems are becoming increasingly ubiquitous and distributed, where it is intended to operate in a highly dynamic and continuously fluctuating societal and economic environments. Moreover, the introduction of autonomous systems has revolutionized wide range of applications like agriculture, healthcare, education, military, industries, and so on.

Conference Chair & Convener;     Phone: [+91-8870489968];     Email: icmlasc@gmail.com

Machine Learning, Autonomous Systems, Computing, Technology, Autonomous Software and Operating Systems, Autonomous Sensors and Embedded Systems, Support Vector Machine, Intelligent Information Retrieval Techniques

Humboldt-Universität zu Berlin

Our goal with ICSB 2022 is to re-ignite the vibrant field of systems biology. We have selected a set of topics and speakers we think can excite you all and we hope you will enjoy our great city and the programme.

Our line-up of keynotes and session chairs/speakers is amazing and we encourage you all to submit talks and posters.

Please join us in making ICSB 2022 the best ICSB ever. We are going all in on trying to reboot the community after the pandemic. This meeting will be in person and full of exciting science!

The Call website can be found here on the EasyChair platform:

https://easychair.org/cfp/ICSB2022

The main conference website is https://www.icsb2022.berlin

Global INBOX;     Email: info@icsb2022.berlin

MULTI-SCALE MODELS, MACHINE LEARNING / ARTIFICIAL INTELLIGENCE, ALPHA FOLD, DEEP HIDDEN PHYSICS, SINGLE CELL MODELING, WHOLE CELL MODELING, TUMOR ECOSYSTEMS, SIGNAL TRANSDUCTION, CANCER SYSTEMS BIOLOGY, COMPUTATIONAL PATHOLOGY, IMAGING ALGORITHMS, NETWORK BIOLOGY & PRECISION MEDICINE, MICROBIOMES, CLIMATE & BIOTOPES, MODELS IN TIME AND SPACE, PLANT SYSTEMS BIOLOGY, INTEGRATION OF COMPUTATIONAL APPROACHES, CLINICAL IMPACT/CHALLENGES FOR SYSTEMS BIOLOGY, PREVENTING FUTURE PANDEMICS, POST PANDEMIC LIFE SCIENCE, YOUNG SCIENTIST FORUM, CAREER TRACK, WILDCARD *.talks

Biology,    Modeling and Simulation

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’2022) will be held in conjunction with The 4th International Conference on Intelligent Systems for Cyber Threat Intelligence, 13-15 october 2022, Marrakech Morocco

Email: a2iotworkshop@gmail.com

Cognilytica

Cognilytica is excited to host Kathleen Walch and Ron Schmelzer, Managing Partners at Cognilytica and their presentation ‘Intro to CPMAI Methodology for Project and Product Managers’ on Wednesday, October 19, 2022 at 1 PM ET!

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation, data identification, and data protection, it’s hard to achieve the success you’re expecting, wasting money and resources, leading to failure. This session will walk through the Cognitive Project Management for AI (CPMAI) methodology to provide the foundation needed for project success, especially as you incorporate advanced analytics and AI projects. The CPMAI methodology is the established best practice for AI & ML projects, and increasingly will be demanded by organizations and agencies that plan to develop, procure, and deliver AI and advanced analytics projects. This session will provide real world examples of how CPMAI methodology allows individuals to gain the skills needed for AI project success. Be sure to stick around for Q&A at the end!

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

Cognilytica

Join the October 2022 AI in Government event with featured guest speaker Melvin Brown II, Deputy Chief Information Officer in the U.S. Office of Personnel Management and his presentation ‘How AI is Being Developed at OPM for Cybersecurity Threats’ on Thursday, October 20, 2022 from 11:30 AM - 1 PM ET!

The evolution of cloud computing and artificial intelligence are growing in parallel, and the complexity of the cloud is driving the need for AI. In addition, the complexity of AI is also creating the need for it to work better in the cloud environment with efficiency, transparency and control.

Organizations are taking a more data-driven approach, where artificial intelligence can be used to detect and proactively provide alerts on weaknesses and vulnerabilities both that are being exploited right now, or that might be exploited in the future. This is being done by analyzing data coming in and out of protected endpoints, both detecting threats based on known behavior, and spotting yet known threats based on predictive analytics. In this session we will be examining a use case for AI in action to prevent potential unauthorized access and the benefits of AI for cloud security services that include: identification of threats that would otherwise go undetected, automatization of the process of responding to threats, improvement of the efficiency of security operations, and ability to reduce the cost of security operations. Be sure to stick around for Q&A with Melvin!

Distributed, Edge and Cloud Computing,    Information Security and Information Privacy

The Fields Institute

This bootcamp will focus on advanced machine learning techniques currently being used in the financial industry, as well as novel techniques at the forefront of academic research. Topics will include unsupervised and supervised machine learning, data mining and applications in predictive and risk analytics, fraud detection and consumer finance, deep reinforcement learning, natural language processing, high-frequency models of financial markets, and credit risk analytics.

Cognilytica

Enterprise Data & AI is excited to host Chia-Liang Kao, CEO & Founder at InfuseAI and his presentation "The Modern Data Team as a Team Sport" on Wednesday, October 26, 2022 from 12 PM - 1 PM ET! Join this engaging and interactive session with CL Kao, CEO & Founder at InfuseAI to learn why the modern data team is the most challenging team sport of 2022 and stick around at the end for Q&A with CL!

Numerical Analysis and Computational Mathematics,    Information & Knowledge Management, Big Data Computing

Open Data Science Conference

The ODSC West in-person and virtual 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

You’ll also have the opportunity to dust off your social skills and reconnect with peers and colleagues during our networking and social events.

Email: iryna@odsc.com

Data Science, Artificial Intelligence, Machine Learnng

Open Data Science Conference (ODSC)

Accelerate AI, co-located with ODSC West 2022, brings together the top industry executives, managers, and CxOs to help you understand how AI and data science can transform your business including: - Healthcare, Insurance, Retail, Government, Education, Bio/Pharma, Media & Marketing, Transportation, Finance, Manufacturing, Energy & Utilities, E-commerce, and more.

Email: iryna@odsc.com

Data Science, Machine Learning, Artificial Intelligence

University of Málaga (UMA)

Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. ANTS 2022 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.

Biology,    Sociology

Casa Matemática Oaxaca (CMO)

Asia Society of Researchers

Welcome to the official website of the 2022 8th International Conference on Robotics and Artificial Intelligence (ICRAI 2022) which was established in Singapore in 2015. This year, ICRAI 2022 will be held in Singapore on November 18-20, 2022.

The organizing committees for the 7th International Conference on Robotics and Artificial Intelligence (ICRAI 2022) will commit for facilitating the interactions among members in the field of robotics and artificial intelligence. Through this conference, the committees intends to enhance the sharing of individual experience and expertise in robotic developments involving a range of AI concepts with particular emphasis on technical challenges associated with varied applications such as humanoid, mobile and other classes of robots.

Phone: [+86-18008065167];     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;

CARE College of Engineering

Augmented Intelligence plays a significant role in automating the everyday activities of human lives. Augmented Intelligence not only creates new opportunities but also results in developing greater challenges in establishing the sustainable engineering applications. Augmented Intelligence assists the next generation real-time applications to reduce their environment and societal impact by improving the efficiency and developing new real-time models. Therefore, the further research exploration on understanding the relationship between augmented intelligence and sustainable systems will help to develop next-generation applications. To prioritize sustainable development, augmented intelligence is considered as a massive technological boost. Sustainability is the greatest challenge in a variety of areas like artificial intelligence, augmented/virtual reality, robotics, IoT, agriculture, health, transportation, etc. It is believed that augmented intelligence, data analytics and data science have significant roles to play in evidence based systems to support sustainability, as well as providing a tool to continuously monitor and achieve the sustainable engineering goals.

Phone: [9597324073];     Email: Dr. A. Pasumpon Pandian

Track-1: Artificial Intelligence Artificial Immune Systems Cognitive Systems and Applications Computer Vision Fuzzy Computing and Intelligent Systems Multi-Agent Systems Neural Network Theory and Architectures Data Mining and Machine Learning Tools Pattern Recognition Knowledge-based Systems Artificial Life Advanced Optimization and Design Artificial Intelligence for Modeling and Simulation Evolutionary Computing Design Expert Systems Soft Computing Track-2: Sustainable Systems Green Computing and Communication Systems Intelligent and Sustainable Networking Sustainable Development Goals Explainable Artificial Intelligence [XAI] for Sustainability Benchmarking Sustainability Green Data Centres Sustainable Supply Chain Sustainable Resource Scheduling, allocation, and management Energy Efficient Design and Implementation Cloud enabled AI for Sustainability AI on controlling systems AI for decision-support models Cognitive radio communication Deep learning for sustainable computing Senor network for environmental monitoring

The 4th International Conference on Artificial Intelligence and Smart Environments (ICAISE’2022) is organised by IDMS research team (Business Intelligence and Systems Modeling) from the Engineering Science and Technology (STI) laboratory, and MMIS research team (Mathematical and Computer Systems Modeling) ) of the MAIS Laboratory (Applied Mathematics, Computer Science and Systems).

The objective of bringing together innovative scientists, professors, research scholars, students and industrial experts in the field of Artificial Intelligence and Smart Environments to 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.

Artificial Intelligence; Smart Environments; Business Intelligence

Shandong University of Technology, China

Welcome to the official website of 2022 The 2nd International Conference on Artificial Intelligence and Blockchain Technology (AIBT2022) to be held in Zibo, Shandong, China during November 25-27, 2022, which is organized by Shandong University of Technology, China.

Phone: [+86-028-87777577];     Email: emmaawang2019@sina.com

Evaluation of AI tools; Intelligent networks; Intelligent information systems; Software tools for AI; Intelligent databases; Intelligent information fusion; Intelligent data mining and farming; Languages and programming techniques for AI; AI and evolutionary algorithms; Intelligent web-based business; Intelligent user interface;

Software Agents and Intelligent Agents in Artificial Intelligence,    Cryptography, Blockchain and Information Security

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;

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,    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.

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

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

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