We are delighted to announce that the Amazon AGI SF Lab Human Computer Talks Leader Daniel Prosec will go to the main stage. Takkarch session: AI On June 5, at Zelrabach Hall in UC Berkeley. The AGI SF Lab is at the forefront of promoting basic capabilities for AI agents that can work in the real world – and Daniel is advancing this vision. Practical, this rare opportunity to listen to one of the key minds of the future of agent AI, do not lose this rare opportunity.
For a limited time, save more than $ 300 on your ticket – and be 50 % off in a second for your Plus One. Don’t wait – this offer will not last long. Register now before its expiry!
Join us in the TC session: AI for the entire day of ground breaking programming, interactive sessions, direct demo, and high -impact networking with bright minds in AI. Bring to a friend or partner – because big ideas are better shared, and their ticket is half -off.
About Daniel Prashak’s session
The new, more powerful AI model is apparently launched every week, both innovation is sensational and great. In this dynamic conversation, Logan Kill PatrickSenior Product Manager in Google Deep Mind, JaCEO of twelve labs, and Daniel PressurePhD, academic scientist and member of technical staff, Amazon AGI SF Lab will share insights for the first time with the development fronts.
Together, they will discover how startups can not only build in the upper part of today’s leading foundation models, but also in a rapidly developed landscape and also on a scale. From choosing the right models to expect shifts in the future, this session will be equipped with strategies for the founders, builders and product leaders to move forward, stay relevant, and take advantage of the AI ​​-era opportunities.
Check every one to get the latest in this session and to join us – Visit the TC Session: AI Agenda Page.
Know the Pressic
Daniel Parsak is a scholarly scientist and member of technical staff Amazon’s AGI SF LabWhere it leads to the Human Computer Interact (HCI) team. Its task is focused on promoting basic capabilities for practical AI agents that can work effectively in both digital and physical environments.
Daniel received a PhD degree from North Western University, where he studied the development of language evolution and the development of social cognition. Before joining the Amazon, he participated in AI measures in Edit and Google, taking a unique inter -inter -interfaith approach to the challenges of building intelligent, interactive systems.
Be the “academic” of saving big tickets in AI
at all TC Session: AiDaniel Pressure will bring in the panel necessary to see their deep skills in academic science and human computer communications, how the founders can use basic models to measure AI in a powerful, practical way. Do not miss the opportunity to learn from one of the minds, when the ticket saving is included in the pocket up to $ 600 in the pocket. Safe your place now!