Events for you

This event is a one-day, in-person hackathon where participants build AI applications using Google DeepMind's Gemma models focused on rapid-response and multimodal systems. Participants choose from three tracks: clinical triage, deep space navigation, and Formula 1 telemetry strategy. It is designed for AI developers and technologists interested in building autonomous agents for time-sensitive environments.

This hackathon workshop explores the use of AI agents in computational biology research. It is designed for computational biologists, machine learning researchers, and wet-lab scientists interested in automation and agent-based research tools. Participants will learn about the current capabilities, best practices, and practical applications of AI agents in biology workflows.

This workshop explores how AI advances protein engineering, focusing on antibodies, ADCs, and novel engineered proteins. It examines each step from sequence to clinic to understand AI's impact on accelerating research and developing new therapies. The event is designed for professionals interested in AI applications in biotech and protein design.

This 2-day interdisciplinary hackathon brings together AI engineers, hardware tinkerers, artists, product designers, persons with disabilities, and caregivers to create hardware prototypes that extend human ability. Participants collaborate to design assistive tech that goes beyond compensation to augment capabilities. The event focuses on empathy, lived experience, and human-centered reimagination of technology.

This hackathon challenges participants to create AI-based solutions supporting the autism community through three competition tracks including game development, custom agent skills, and animation. It is designed for developers, designers, and AI builders interested in social impact and AI for good. Competitors have the chance to win cash prizes and advance to an international final.

This one-day workshop teaches beginner to intermediate AI applications in healthcare including clinical decision support, diagnostics, and workflow automation. It targets healthcare professionals, hospital administrators, and digital health staff aiming to integrate AI technologies responsibly. Participants gain practical knowledge, ethical insights, and certification for AI use in health environments.

This is a two-day in-person hackathon in Copenhagen where developers, researchers, and healthcare professionals collaborate to build working clinical AI applications using Corti's API platform. Participants receive mentorship and infrastructure support, aiming to create tools that healthcare teams can immediately use. The event offers cash prizes and API credits to winning teams focused on real clinical problems.

This workshop teaches healthcare and medical professionals how to design effective AI prompts to improve clinical, operational, and research workflows safely. It focuses on prompt patterns, ethics, data privacy, and improving AI output quality without requiring coding skills. Participants will gain practical skills to create reliable, context-aware AI interactions for healthcare environments.

This in-person workshop teaches systematic examination techniques, clinical diagnosis, treatment planning, and digital dentistry tools, including AI diagnostics and intra-oral scanning. It is designed for dental professionals seeking hands-on training and confidence in patient assessment and care. The course includes a live patient demonstration and limited attendance for personalized supervision.

This workshop covers updates on IEC 62304, artificial intelligence, and software tool validation in practical applications. It targets professionals involved in medical technology software development and regulation. Attendees will gain knowledge relevant to compliance and validation processes in Austria.

AI for Health 2026 covers AI applications in health including medical diagnosis, mental healthcare, AI regulation, and quantum technologies related to health and food. The event includes talks and a hands-on tutorial focused on low-code AI tools across health, farming, and food sectors. It is aimed at professionals interested in the intersection of AI and health innovation.