**A free, public workshop with no technical background needed** For the last several years, AI systems have advanced at a pace that has stunned the public
This event hosts a casual meet-up for the Longevity Austin community featuring introductions over matcha or coffee followed by a walk along the river. It is for people interested in health, wellness, and longevity to connect and shape the community. Attendees can enjoy light exercise and relaxed conversation in a natural setting.
This event explores advancements in autonomy across drones, unmanned aerial vehicles, surface vessels, and underwater vehicles. It is designed for innovators and entrepreneurs interested in physical AI technologies in the Austin area. Attendees can learn about new developments and applications in AI-powered autonomous systems on air, land, sea, and space.
Participants bring one AI project they want to implement and engage in a silent two-hour build sprint to work on it. The event concludes with a show and tell session for feedback and networking. It is designed for builders and founders interested in practical AI application and community connection in Austin.
This event is a weekly in-person gathering at The Meteor in Austin where attendees meet for coffee and breakfast. It is designed for people interested in Bitcoin and cryptocurrency to network casually each Tuesday morning. Participants can connect with others in the crypto community and discuss related topics in an informal setting.
This event is a demo night where LGBTQ+ builders, designers, and technologists showcase projects they are working on. It offers a supportive environment to share early-stage ideas, receive feedback, and network with other queer tech community members. Anyone can sign up to present without pressure to deliver a polished pitch.
This event discusses the limitations of AI benchmarks and explores how to evaluate models and agents in real-world scenarios. It is aimed at attendees interested in AI technology and machine learning applications. Participants will gain insight into practical model evaluation beyond standard benchmarks.