International Conference on Artificial Intelligence for Energy Efficiency and Renewable Energy (ICAIEERE)

⌖ Sheffield · The Edge, University of Sheffield, 34 Endcliffe Crescent, Sheffield, S10 3ED

Hosted by APRIL

The APRIL AI Hub Annual Summit 2026 brings together researchers, practitioners, and innovators at the forefront of artificial intelligence and machine learning for a full day of knowledge sharing and collaboration in Sheffield. Taking place at The Edge at the University of Sheffield, this conference serves as the flagship annual gathering for the APRIL (AI for Precision Medicine and Healthcare, Privacy, Reproducibility, Interpretability, and Learning) community. As the second annual summit following the inaugural event in Edinburgh, this conference continues APRIL AI Hub's mission to advance responsible AI research and practice across healthcare, precision medicine, and beyond. The summit provides a vital platform for cross-sector dialogue between academic researchers, industry partners, healthcare professionals, and policy makers working at the intersection of AI, ethics, and real-world applications. What to Expect While the detailed programme is still being finalised, attendees can expect a comprehensive agenda featuring: - Keynote presentations from leading figures in AI research and healthcare innovation - Research showcases highlighting cutting-edge work in precision medicine, privacy-preserving AI, reproducible research methodologies, and interpretable machine learning - Panel discussions exploring the ethical, regulatory, and practical challenges of deploying AI systems in sensitive domains - Networking opportunities to connect with peers across academia, industry, and healthcare sectors - Poster sessions and demonstrations of ongoing research projects Who Should Attend This summit is designed for: - AI and machine learning researchers working on healthcare applications - Data scientists and engineers building trustworthy AI systems - Healthcare professionals interested in AI-driven precision medicine - Policy makers and ethicists concerned with responsible AI deployment - PhD students and early-career researchers in AI and related fields - Industry partners exploring AI applications in regulated environments About APRIL AI Hub The APRIL AI Hub represents a collaborative initiative advancing responsible AI research with particular emphasis on healthcare applications, data privacy, reproducible science, interpretable models, and robust learning systems. Previous APRIL events have established a strong reputation for bringing together diverse perspectives on the challe

⌖ Barcelona

GlobalAI–2026 (Oct 05–07, 2026 | Barcelona): a three-day conference exploring AI, machine learning, automation, and AI agents with keynotes, research talks, hands-on demos, and industry panels. Learn the latest research insights, practical strategies to deploy automation and AI agents, and how organisations are applying ML in healthcare, finance, transport and education. Ideal for researchers, engineers, product builders, startup founders and enterprise leaders seeking cutting-edge techniques and partnerships. Format: multi-track keynotes, paper presentations, panel discussions, poster sessions, and networking opportunities over three days.

⌖ Location TBC · Private winery estate, Loudoun County, Virginia (Leesburg area)

Hosted by Modev

The Global Agentic AI Summit brings together 1,500+ builders, enterprise leaders, and AI visionaries for three immersive days exploring the autonomous intelligence revolution. Set on a private winery estate in Loudoun County, Virginia — home to Data Center Alley, the world's largest concentration of cloud infrastructure — this isn't your typical tech conference. Three Critical Tracks The summit addresses three defining vectors of the autonomous AI economy through dedicated programming tracks: Agentic AI explores autonomous systems that plan, decide, and act independently. Sessions cover enterprise-scale agent deployment, single-agent workflows, multi-agent orchestration, reasoning and planning architectures, memory and context systems, and AI assistants that autonomously execute complex workflows. Physical AI examines embodied intelligence moving from datacenters into the real world. Expect deep dives into robotics, edge AI deployment, autonomous drones, AI-powered prosthetics, manufacturing automation, and the next generation of human-machine collaboration in logistics and defense applications. Sovereign AI addresses national AI infrastructure, data sovereignty, and the geopolitics of autonomous systems. Topics include how governments and enterprises build AI capability they control, critical infrastructure protection, defense AI applications, and national AI policy frameworks. World-Class Speaker Lineup 75+ speakers represent the builders actually deploying agentic systems at scale. The lineup spans enterprise AI leaders from Cox Communications, McKesson, and Navy Federal Credit Union; government innovators from the U.S. Department of the Navy and Library of Congress; media AI pioneers from USA TODAY; and founders driving the agentic revolution forward. Every speaker brings real-world deployment experience — no theoretical talks, just practical insights from the trenches. Comprehensive Topic Coverage The program addresses 54 distinct categories across core AI infrastructure, security and trust, developer tools, workforce transformation, and emerging applications. Technical sessions cover coding agents, vector databases, foundation models, orchestration frameworks like OpenClaw, observability and monitoring, model deployment, and guardrails for safe AI operation. Developer-focused content explores SDKs and APIs for building agentic systems, testing and evaluation frameworks, multimodal AI implementations,

⌖ Amsterdam

Hosted by World AI Week

World AI Week brings together the global AI community in Amsterdam from 2026-10-05 to 2026-10-09, with an expected 15,000 attendees. This multi-day event is positioned as a premier gathering for anyone building, implementing, or researching AI-driven solutions, automation, and no-code AI workflows. The week-long program is designed to help developers, product people, founders, researchers, and educators connect, learn, and accelerate their AI initiatives through real-world insights, hands-on demos, and meaningful networking. Why attend World AI Week - A focused, multi-day program in Amsterdam dedicated to AI, automation, and no-code tooling, offering a hub for practitioners to explore practical AI applications. - A chance to see how AI agents and automation concepts are being operationalized in real-world workflows and SaaS architectures. - Opportunities to discover visual-development approaches and no-code AI platforms that enable rapid prototyping and deployment. - Networking with a large community of builders, founders, engineers, and researchers exploring the next wave of AI-enabled products and services. What to expect - Keynotes and sessions covering AI adoption, governance, and responsible AI, plus case studies from enterprises and startups. - Breakout tracks focused on AI agents, automation, no-code AI, and startup enablement, with opportunities for live demos and product showcases. - An expo-style environment where attendees can explore tools, platforms, and vendor innovations that accelerate building AI-powered solutions. - Structured networking and partner/mentor meetups to help attendees form collaborations, pilots, or co-development efforts. - Hands-on sessions and live demos illustrating practical workflows, from data prep and model iteration to deployment in production. Who should attend - Engineers, developers, and AI practitioners looking to speed up development with AI agents and automation. - Product managers and founders seeking scalable AI-powered product strategies and go-to-market insights. - No-code and low-code enthusiasts exploring AI-enabled workflows and visual development. - Researchers and educators interested in real-world deployment patterns and industry needs. Format and style - A blend of talks, panels, live demos, expo-style showcases, and ample networking time. - An inclusive environment designed to help both seasoned professionals and newcomers share knowledge, experiences, and opportunities. How to

◎ Online

Hosted by UW Professional & Continuing Education

Master the tools and techniques transforming modern business with this comprehensive 7-week online course from UW Professional & Continuing Education. Generative AI for Business equips professionals with hands-on experience using ChatGPT, Copilot, and Gemini to enhance productivity, automate workflows, and build business solutions without writing a single line of code. What You'll Learn This intermediate-level course covers the full spectrum of generative AI applications in business settings. You'll master prompt engineering techniques to craft effective instructions for AI tools, learning how to generate everything from logo designs to newsletter content. The curriculum explores AI's impact across marketing, communications, human resources, and legal contexts, while addressing critical ethical considerations and risk mitigation strategies. The course goes beyond content creation to teach practical application development. You'll learn vibe-coding—using simple prompts to build functional apps and tools—and create AI-driven automated workflows using Lovable, n8n, and Zapier. By the end, you'll have developed a portfolio of real AI projects demonstrating your skills. Course Format & Commitment Meet with your instructor and classmates for live Zoom sessions on Monday evenings (6–9 PM Pacific) over seven weeks. Plan for 6–8 hours of weekly commitment including class time and coursework. No previous AI experience required—this introductory programme welcomes anyone looking to leverage generative AI in their professional work. Hands-On Projects You'll gain practical experience building websites and apps with no-code tools, designing automated workflows, and developing comprehensive strategies for integrating generative AI into business processes. Projects include using AI to generate visual designs, create marketing content, and build functional business applications. Successfully complete the course to earn 2.4 CEUs and a digital badge to showcase on LinkedIn. Approved by the UW Foster School of Business, this course provides immediately applicable skills for professionals across industries. International students welcome—no visa required for this 100% online format. Register for this course

ChatGPTGgemini-Lovable+2 more

⌖ Amsterdam · Felix Meritis, Amsterdam

Hosted by Law Centre for Health and Life (Centre for Health and Life Law) at the Faculty of Law of the University of Amsterdam

Governing Algorithms for Care brings together researchers, healthcare professionals, legal scholars, and technologists for two intensive days examining how AI is reshaping healthcare delivery — and how we can ensure these powerful systems serve patients responsibly. As algorithms increasingly influence diagnoses, treatment recommendations, and care pathways, fundamental questions around fairness, accountability, and patient autonomy demand urgent attention. This interdisciplinary conference addresses the complex governance challenges at the intersection of AI, medicine, law, and ethics. Whether you're developing medical AI systems, shaping healthcare policy, or advocating for patient rights, you'll find sessions tackling the practical and philosophical questions that matter most in this rapidly evolving field. What to Expect The programme spans presentations, workshops, and panel discussions exploring how AI in healthcare can be regulated, designed, and deployed to protect fundamental rights while enabling innovation. Expect rigorous academic insights alongside practice-oriented case studies from those implementing these technologies in clinical settings. Core themes include: - Health equity and fairness — addressing algorithmic bias and ensuring AI benefits all patient populations - AI regulation and compliance — navigating emerging legal frameworks and standards - Data protection, accountability, and liability — understanding who is responsible when AI systems make mistakes - Ethical design in medical technologies — building values into algorithms from the ground up - Patients' rights in AI-driven care — preserving autonomy, informed consent, and transparency Who Should Attend This conference welcomes contributions from across disciplines. Legal researchers examining healthcare regulation, medical practitioners integrating AI into clinical workflows, ethicists concerned with algorithmic fairness, and technologists building healthcare systems will all find relevant sessions and valuable networking opportunities. The organisers explicitly encourage interdisciplinary and practice-oriented contributions, recognising that governance of healthcare AI requires dialogue between law, medicine, ethics, and technology. If you're working at any of these intersections, this conference offers a rare opportunity to engage with others tackling similar challenges from different perspectives. Submit Your Research The

Sponsors: ELSA AI for Health Equity · UvA Research Priority Area on AI for Health Decision-Making +1