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The 10th International Conference on Deep Learning TechnologiesJuly 17-19, 2026, Kunming, Chinahttps://www.icdlt.orgSubmission Deadline: March 1, 2026Notification of Acceptance: April 1, 2026Camera Ready Deadline: April 15, 2026Registration Deadline: April 15, 2026Conference Dates: July 17-19, 2026You are invited to attend 2026 10th International Conference on Deep Learning Technologies will be held during July 17-19, 2026 in Kunming, China. It's sponsored by Kunming University of Science and Technology, China, organized by the Faculty of Information Engineering and Automation of Kunming University of Science and Technology. It's to provide a valuable opportunity for researchers, scholars and scientists to exchange their ideas face to face in Deep Learning Technologies.We invite researchers from deep learning technologies to participate and submit their work to the program. Likewise, any work on deep learning that has a relation to any of these fields or potential for the usage in any of them is welcome. Please refer to the different submission categories under "Call for Papers" above for further details.Track 1: Deep Learning Model and AlgorithmRecurrent Neural Network (RNN) Sparse Coding Neuro-Fuzzy Algorithms Evolutionary Methods Convolutional Neural Networks (CNN) Deep Hierarchical Networks (DHN) Dimensionality Reduction Unsupervised Feature Learning Deep Boltzmann Machines Generative Adversarial Networks (GAN) Autoencoders Deep Belief Networks Meta-Learning and Deep Networks Deep Metric Learning Methods MAP Inference in Deep Networks Deep Reinforcement Learning Learning Deep Generative Models Deep Kernel Learning Graph Representation Learning Gaussian Processes for Machine Learning Clustering, Classification and Regression Classification ExplainabilityTrack 2: Machine Learning Theory and TechnologyNovel machine and deep learningActive learningIncremental learning and online learningAgent-based learningManifold learningMulti-task learningBayesian networks and applicationsCase-based reasoning methodsStatistical models and learningComputational learningEvolutionary algorithms and learningFuzzy logic-based learningGenetic optimizationClustering, classification and regressionNeural network models and learningParallel and distributed learningReinforcement learningSupervised, semi-supervised and unsupervised learningTensor Learning Deep and Machine Learning for Big Data Analytics:Deep/Machine learning based theoretical and computational modelsMachine learning (e.g., deep, reinforcement, statistical relational, transfer)Model-based reasoningTrack 3: Deep and Machine Learning ApplicationsDeep Learning for Computing and Network PlatformsRecommender systemsDeep Learning for Social media and networksDeep Learning in Computer VisionDeep learning in speech recognitionDeep Learning in Nature Language Processing,Deep Learning in Machine TranslationDeep learning in bioinformaticsDeep Learning in Medical Image AnalysisDeep Learning in Climate ScienceDeep Learning in Board Game ProgramsDeep and Machine Learning for Data Mining and KnowledgeTrack 4: Responsible AI, Security, and GovernanceAI safetyPrivacy preservationAlgorithmic FairnessFairness and ethicsClassification Explainability and Explainable AI (XAI)AI EthicsAI governanceGreen Deep LearningSynthetic Data GenerationSocial and Economic Impact of AISustainable AIAI Risk AssessmentThe accepted paper will be included into ICDLT 2026 Conference ProceedingsPUBLICATION HISTORYICDLT 2025 Proceedings - 979-8-4007-1852-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2024 Proceedings - 979-8-4007-1686-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2023 Proceedings - 979-8-4007-0752-0 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2022 Proceedings - 978-1-4503-9693-6 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2021 Proceedings - 978-1-4503-9016-3 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2020 Proceedings - 978-1-4503-7548-1 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2019 Proceedings - 978-1-4503-7160-5 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2018 Proceedings - 978-1-4503-6473-7 | ACM Digital Library | Ei & SCOPUS IndexICDLT 2017 Proceedings - 978-1-4503-5232-1 | ACM Digital Library | Ei & SCOPUS Index

External events, opportunities, and trade missions UK Government UK-ASEAN AI Innovation Summit; 6-8 October (KL, Malaysia) The UK-ASEAN AI Innovation Summit is a strategic platform for advancing shared priorities between the UK and ASEAN Member States. It builds upon previous engagements such as the UK-MY AI Conference 2023, UK AI Week in Thailand, and the AI for Sustainable Development in ASEAN (AISDA). The Summit is also aligned with the forthcoming ASEAN Digital Economy Framework Agreement (DEFA) and the UK’s AI Opportunities Action Plan (2024). There will be keynote presentations, panel discussions, workshops for the Summit covering the following themes: Sustainable and secure AI infrastructure and cross-border compute access, Trusted data-sharing partnerships to support inclusive innovation, AI talent development and skills exchange, including pathways for women and non-traditional learners, Pro-innovation regulation and responsible AI governance, Public sector adoption and business innovation partnerships. If you would like to attend, please email Poorani.Krishnan@fcdo.gov.uk

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

The 23rd Annual Conference and The 16th Youth ConferenceTheme: “Transforming to the Future: Innovation, AI and Regenerative Tourism and Hospitality”Deadline for Abstracts or Full Papers Submission: 6pm, 15 March 2025 (Hong Kong Time)Conference Date: May 27th - 30th, 2025Conference Venue: Chiang Mai, ThailandRead more at https://www.apacchrie2025.org Chiang Mai University, Thailand, warmly invites you to the APacCHRIE 2025 Youth Conference, held from 27 May to 30 May 2025, in Chiang Mai. This conference provides an excellent platform to connect with hospitality and tourism academics and industryprofessionals, fostering discussions on rapidly evolving industry trends. Under the theme "Transforming to the Future: Innovation, Al, and Regenerative Tourism and Hospitality", welook forward to welcoming all delegates to Chiang Mai, the heart of Thai Lanna culture!CALL FOR PAPERS This conference welcomes academics, professionals, and graduate students from the Asia Pacific and beyond, offering an outstanding platform for presenting and sharing peer-reviewed (double-blind) research. It also fosters rich exchanges between academic communities and industry practitioners on abroad spectrum of topics related to current trends and advancements in tourism and hospitality.We welcome abstracts and/or full papers aligned with the theme, "Transforming to the Future: Innovation, Al, and Regenerative Tourism and Hospitality." Submissions may include, but are not limited to, the following topics within the tourism and hospitality (T&H) sector:List of Topic AreasInnovation issues in Tourism and HospitalityCritical Issues and Cases in Tourism and HospitalityAl for Tourism and Hospitality BusinessEmerging ICT issues in Tourism and HospitalityManagement and Marketing in Tourism and HospitalityEnvironment, Social and Governance (ESG) inTourism Logistics Tourism and HospitalityTourist Experiences and Changing in Tourist BehaviorsRegenerative TourismService Designs in Tourism and HospitalityTourism Planning, Development and Sustainability• Tourism ImpactsSpecial Interest Tourism (SIT)New Trends in Tourism and HospitalityCreativity and Culture in Tourism and Hospitality • Other Topics Related to Tourism and Hospitalit

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

Global Environmental Politics Online ISSN 1536-0091Print ISSN 1526-3800Global Environmental Politics examines relationships between global political forces and environmental change, with particular attention given to the implications of local-global interactions for environmental management, as well as to the implications of environmental change and environmental governance for world politics. Each issue contains several full-length research articles, and may also contain shorter forum articles and/or a research note. The journal seeks to publish on a broad range of issues, from water to waste management to climate change. Topics covered include, but are not limited to, states and non-state actors in environmental governance, multilateral institutions and agreements, innovative governance arrangements, trade, global finance, corporations and markets, environmental (in)security, science and technology, and transnational and grassroots movements. Contributions come from many disciplines, including political science, international relations, sociology, history, human geography, anthropology, public policy, science and technology studies, and environmental ethics, law, and economics.Link: https://direct.mit.edu/glep/pages/abstracting-indexingAbstracting and Indexing InformationGlobal Environmental Politics is abstracted and/or indexed in the following services:Academic SearchAcademic Search Alumni EditionAcademic Search CompleteAcademic Search EliteAcademic Search PremierAcademic Search R & DAdvanced Placement SourceBIOBASEBusiness SourceBusiness Source Alumni EditionBusiness Source CompleteBusiness Source CorporateBusiness Source EliteBusiness Source PremierCNKI, ChinaCurrent AbstractsCurrent Awareness in Biological SciencesCurrent ContentsDietrich's Index PhilosophicusDimensionsEBSCO DiscoveryEconLitEnvironment CompleteEnvironment IndexEnvironmental Sciences and Pollution ManagementEx Libris PrimoGEOBASEGreenFILEIBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen ZeitschriftenliteraturInternational Bibliography of Humanities & Sociological LiteratureInternational Political Science AbstractsLeft Index (Online)LensMicrosoft AcademicOCLC DiscoveryPolitical Science CompletePollution AbstractsProQuest SummonPublic Affairs IndexScopusSocial Sciences Citation IndexTOC PremierUrban Studies Abstracts

Grant and Contract ProcessLink: https://www.usaid.gov/partner-with-us/grant-and-contract-processThe United States Agency for International Development (USAID) is the United States’ government agency that leads international development and humanitarian assistance efforts to partner countries.USAID work together with individuals, communities, and countries globally to improve everyday lives. USAID’s efforts provide humanitarian assistance, reduce poverty, strengthen democratic governance, advance economic opportunities, and help achieve progress beyond programs. Our work benefits people around the world, including those in the United States. USAID’s investments help achieve sustainable development progress, advancing our collective security, health, and prosperity.The U.S. Agency for International Development (USAID) undertakes a wide array of initiatives aimed at fostering global development and humanitarian assistance. Key areas of focus include:Agriculture and Food Security: Enhancing agricultural productivity and ensuring food security to combat hunger and promote economic growth.Anti-Corruption: Implementing measures to prevent corruption, thereby strengthening governance and fostering transparency.Conflict Prevention and Stabilization: Addressing the root causes of conflict and supporting stabilization efforts in fragile regions.Democracy, Human Rights, and Governance: Promoting democratic institutions, protecting human rights, and improving governance structures.Economic Growth and Trade: Facilitating economic development and trade to reduce poverty and enhance prosperity.Education: Expanding access to quality education to empower individuals and communities.Environment, Energy, and Infrastructure: Supporting sustainable environmental practices, energy solutions, and infrastructure development.Gender Equality and Women's Empowerment: Advancing gender equality and empowering women and girls across various sectors.Global Health: Addressing health challenges to improve global health outcomes.Humanitarian Assistance: Providing aid during crises to alleviate human suffering.Innovation, Technology, and Research: Leveraging innovation and technology to drive development solutions.Nutrition: Improving nutritional outcomes to enhance health and development.Water and Sanitation: Ensuring access to clean water and sanitation to promote health and well-being.Through these comprehensive programs, USAID partners with countries and communities worldwide to promote sustainable development and humanitarian assistance.USAID generally follows these steps:Source: https://www.usaid.gov/partner-with-us/grant-and-contract-process