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International Conference on Artificial Intelligence and Mathematics (ICAIM - 25)15th - 16th September 2025 Denver, USA (Hybrid Event)https://www.iirst.com/event/important-dates.php?id=3086069Important Dates: - Early Registration Deadline → 16th August 2025- Paper Submission Deadline → 26th August 2025- Conference Date → 15th - 16th September 2025 Call for Paper- Mathematics and Artificial Intelligence- Applications in Science and Engineering using Mathematical Methods- Applied logics, Algorithms and Complexity- Applying Quantitative, Combinatorial, Logical, Algebraic and Algorithmic Methods to Artificial Intelligence Areas- Artificial Intelligence Theory- Automated Deduction- Computational Geometry- Computational Mathematics- Computer Vision- Decision Support- Knowledge-based Systems- Machine Learning- Reasoning- Robotics and PlanningPublication OpportunityAll accepted abstracts will be published in a conference proceedings e-book with ISBN.All accepted full papers have the opportunity to be published in reputable international journals indexed by various databases, subject to terms and conditions and selection by the Scientific Editorial and Reviewer Committee.All papers will receive international exposure and scientific feedback from scholars around the world during the conference.sAreas of Importance in Journal PublicationSelect the most appropriate journal for your paper based on its aims, scope, and guidelines.Prepare your manuscript to conform to the journal's requirements and guidelines, including language and grammar checks.Ensure the language, flow, and scholarly writing style of the paper are of key importance, and consider adding an international flavor to your submission.Follow academic ethics and avoid plagiarism.Pay attention to the quality of graphics and artwork, and format the reference list according to the preferred referencing style of the journal.Benefits of Journal Publication:Receive guidance and support to prepare your manuscript according to journal requirements.Benefit from comprehensive review comments and opportunities to improve your paper.Enjoy the peace of mind of leaving the submission and publication process to the IIRST team, with its years of experience dealing with leading academic journals.Advance your career through journal publications and support for your undergraduate or postgraduate studies.

PhD Call for Applications SummaryAcademic Year 2025/2026 – 41st CycleDeadline: 6 June 2025Research Field: Professions and applied sciencesRead more at https://euraxess.ec.europa.eu/jobs/funding/phd-2025/26-data-scienceApplicationThe Call for Applications for the 2025/2026 PhD Programs is officially open. Applicants, regardless of their nationality, age and gender are invited to submit their applications. Applicants can find all essential information in the relevant paragraphs of this guide.Further information along with possible modifications to, requirements, submission procedures, available positions and/or scholarships, will be given, before the deadline, through the pages:• https://dottorati.uniroma2.it/corsi-di-dottorato_p10297.aspx• https://dottorati.uniroma2.it/corsi-di-dottorato_p10299.aspx AboutOutlineThe availability of huge volumes of data, basically characterized by the increasingly extensive and pervasive use of digital technologies, leads the ongoing revolution in many areas of social, economic and industrial reality, posing new challenges to the scientific and technological research in Computer Science, Artificial Intelligence and in several other disciplines, from Physics to Economics, from Medicine to Human Sciences. In this context, the accessibility and processing of large amounts of data, both in centralized and distributed systems, their usage in the design and implementation of complex decision-making models, favors the study and development of autonomous systems in different fields (from mission-critical applications to the studies of natural and social phenomena, the prediction of economical dynamics as well as the diagnostics and planning in medicine or in industrial robotics). The PhD in Data Science is aimed, in its markedly interdisciplinary nature, to train, at the highest level, experts able to conduct research to understand and master the mathematical, statistical and computer science methodologies of data analysis and processing as well as the underlying technologies supporting applications in a wide variety of of scientific, industrial, economic, medical and social contexts. The reasons for a new PhD program in Data Science are many and significant. First of all, the offer in Central Italy of a doctoral training on these topics is still quite limited, but at the same time it is confronted with an increasing demand for experts in Data Science. This training should be understood with a characterization focused on mathematical-computer science skills, then a strong scientific-technological vocation, properly integrated on established statistical, economic, social and linguistic principles, thus able to give answers to the dynamics of this area of expertise that is very accelerated and strongly interdisciplinary and culturally heterogeneous. The School of Doctorate represents the indispensable ground for a wide range of students of Computer Science, Computer Engineering, Economics, Physics, Mathematics and not only, at our University of Tor Vergata. Today such students apply and succeed (according to various data sources) at other Schools. These students are attracted by initiatives in Data Science because in them is clear and dominant the role played by the computational knowledge, the strong scientific character of the educational objectives and the diversified potential applications: from Physics to Economics up to Social Sciences. It is interesting to note that many of the courses mentioned here, for example, the Master Degree Courses in Computer Science at the Department of Business Engineering, which have a large number of students, unlike other courses are not decreasing in number of enrolled students. This phenomenon is both cause and effect of the centrality that the themes of culture and digital transformation play in the industrial and social spheres of our country.See PHD IN DATA SCIENCE | TOR VERGATA

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

41st Conference on Uncertainty in Artificial IntelligenceRio de Janeiro, BrazilJuly 21-25, 2025Link: https://www.auai.org/uai2025/The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).Important DatesNameDatePaper submission deadline (incl. supp. material)February 10th, 2025 (23:59 Anywhere on Earth, AoE)Author response/discussion periodApril 3rd - April 10th, 2025 (23:59 AoE)Author notificationMay 6th, 2025 (23:59 AoE)Camera-ready deadlineJune 6th, 2025 (23:59 AoE) Subject AreasBelow you find a non-exhaustive list of relevant topics for your reference.AlgorithmsApproximate InferenceBayesian MethodsBelief PropagationExact InferenceKernel MethodsMissing Data HandlingMonte Carlo MethodsOptimization - CombinatorialOptimization - ConvexOptimization - DiscreteOptimization - Non-ConvexProbabilistic ProgrammingRandomized AlgorithmsSpectral MethodsVariational MethodsApplicationsCognitive ScienceComputational BiologyComputer VisionCrowdsourcingEarth System ScienceEducationForensic ScienceHealthcareNatural Language ProcessingNeurosciencePlanning and ControlPrivacy and SecurityRoboticsSocial GoodSustainability and Climate ScienceText and Web DataLearningActive LearningAdversarial LearningCausal LearningClassificationClusteringCompressed Sensing and Dictionary LearningDeep LearningDensity EstimationDimensionality ReductionEnsemble LearningFeature SelectionHashing and EncodingMultitask and Transfer LearningOnline and Anytime LearningPolicy Optimization and Policy LearningRankingReinforcement Learning and BanditsRelational LearningRepresentation LearningSemi-Supervised LearningStructure LearningStructured PredictionUnsupervised LearningModelsFoundation ModelsGenerative ModelsGraphical ModelsModels for Relational DataNeural NetworksProbabilistic CircuitsRegression ModelsSpatial, Temporal and Spatio-Temporal ModelsTopic Models and Latent Variable ModelsPrinciplesCausalityComputational and Statistical Trade-OffsExplainabilityFairnessPrivacyReliabilityRobustness(Structured) SparsityRepresentationConstraintsDempster-Shafer(Description) LogicsImprecise ProbabilitiesInfluence DiagramsKnowledge Representation LanguagesTheoryComputational ComplexityControl TheoryDecision TheoryGame TheoryInformation TheoryLearning TheoryProbability TheoryStatistical Theory

The IEEE Malaysia Section Control Systems Chapter is proud to organize the 2024 12th IEEE Conference on Systems, Process & Control (ICSPC 2024). ICSPC 2024 will be held in Malacca, Malaysia on the 6-7th of December 2024. Link: https://sites.google.com/view/icspcAreas of InterestAutomation & Robotics System Identification Modeling & Simulation Process & Control Intelligent Systems Optimization of Systems Nonlinear Systems Digital Control Advancements in Computation Algorithms for Control Optimal and Robust Control Emerging Areas Control Applications in Other Areas Important DatesSubmission Deadline: 31st July 2024Notification Deadline: 1 September 2024Registration & Camera-Ready Deadline: 1 November 2024Conference Date: 6-7th December 2024IndexingThrough our selective review process and meticulous quality control measures, the ICSPC conference series has an excellent track record of being indexed in IEEE Xplore and Scopus since 2013.