In cooperation with
A curated forum for rigorous, technical discussion at the frontier of AI â accelerating the pace of scientific discovery through deep peer exchange, agentic platforms, and cloud infrastructure.
Inspired by research convenings across frontier labs, Stanford, and Berkeley, we bring together academic researchers, PIs, and engineers building in production to examine concrete work â papers, methods, and empirical results â with a sharp focus on underlying assumptions, evaluation methodology, failure modes, and what counts as convincing evidence.
Each session features 2â3 talks selected for technical rigor and discussion value. Presentations are intentionally brief and focused so the majority of time is reserved for questions, critique, and collaborative debate, with papers shared in advance to ensure a high-baseline conversation.
Designed specifically for Principal Investigators, Lab Leads, and academic researchers, this four-city event series is characterized by the close cooperation between the Frontier Research Club, Google Cloud Partner Digital Schooling, and Google Cloud. While rooted in the open, agnostic spirit of the Frontier Research Club, this series specifically addresses the practical path to cloud-enabled research: lowering the entrance barrier to start experimenting on cloud infrastructure through one-time academic compute grants for faculty and PhD candidates, providing free 48-hour Google Cloud Platform exploration vouchers directly at check-in, and accelerating discovery by embedding frontier foundation modelsâfrom AlphaGenome, AlphaEvolve and AlphaFold to Google Antigravity combined with the Agent Development Kit and Agent Runtimeâdirectly into automated scientific workflows.
Hamburg, Munich, Berlin & Zurich at Google Campuses
One-time academic compute grants for faculty & PhDs via cloud.google.com/edu
AlphaGenome, AlphaFold, Gemma & Quantum AI
Exclusive exchange for PIs, Postdocs & PhDs during ApĂŠro
Each session features 2â3 selected talks with intentionally compact presentations so the majority of time is reserved for questions, critique, and technical debate. Papers and supporting materials are shared in advance to ensure a high-baseline conversation focused on assumptions, evaluation methodology, and failure modes.
Have an accepted paper or preprint on autonomous research loops or AI for science? Authors are invited to submit their work for upcoming sessions. Because seating at Google campus locations is strictly limited, admission requires verification via official institutional or university email.
Join us in person across Germany and Switzerland at official Google office locations. Experience high-end conference environments, direct peer exchange, and catering.
Monday, September 21, 2026
check Complimentary ApĂŠro & Partner Exchange
check Limited capacity for academic institutions
Monday, November 9, 2026
check Complimentary ApĂŠro & Partner Exchange
check Deep focus on Autonomous Research Loops
Friday, November 27, 2026
check Complimentary ApĂŠro & Partner Exchange
check Limited capacity for academic institutions
Thursday, December 3, 2026
check Complimentary ApĂŠro & Partner Exchange
check Direct connection to Zurich Main Station (HB)
A compact afternoon of expert keynotes, hands-on implementation, and peer academic exchange.
Welcome reception and badge collection.
15:00 - 15:30
Join Alex Schroeder for a 30-minute keynote on hard-won lessons from building and scaling autonomous AI research loops. As frontier systems transition from calculation to independent ideation, scientific discovery throughput is bounded by verification rigor and the Selection-Generation Gap rather than raw model IQ. Explore the full systems blueprintâfrom stateless deliberation panels and literature grounding to ephemeral GPU cloud execution and cryptographic pre-registrationâand discover how verifier-driven architectures overcome agent pathologies like reward hacking and instrument narcissism.
15:30 - 16:30
We are currently finalizing the researcher and paper confirmation for this keynote slot with leading institutions. Details on the speaker, university affiliation, and paper abstract will be announced soon.
16:30 - 17:00
We are currently coordinating with paper authors and research institutes for this research spotlight. Full details on the presented paper, methodology, and speaker will be announced soon.
Networking and refreshment service.
17:30 - 18:00
A deep-dive technical walkthrough and live demonstration of Google's Antigravity agentic development ecosystem, with a strong focus on live terminal and workbench demos: Experience how the Antigravity CLI powers headless, sandboxed terminal loops and autonomous research workflows with rigorous verification guardrails. Discover how the Antigravity Desktop App & Platform provides an interactive multi-agent workbench with live artifact inspection and persistent sidecars, and learn how the Google Antigravity SDK enables researchers to author custom subagents, connect Model Context Protocol (MCP) tooling, and orchestrate frontier Gemini models directly across cloud infrastructure.
18:00 - 18:30
Hands-on live demonstrations showing researchers how to automate scientific discovery with new open-source libraries, evaluation harnesses, agent environments, and managed cloud runtimes:
google-research/harness2) for recursive agent optimization & self-improvement benchmarking, the Elephant-Goldfish Model (google/elephant-goldfish-model) for adversarial auditing, and modular Google Agent Skills.
18:30 - 19:00
Natasha Latysheva (Research Scientist at Google DeepMind, presenting remotely) introduces AlphaGenome and the AlphaGenome Atlas â an AI-powered, 1-petabyte digital directory precomputing the molecular consequences of all 9 billion single-letter genetic changes across the human genome. Building on the legacy of Nobel Prize-winning AlphaFold, AlphaGenome shifts focus from individual proteins to the 98% non-coding "dark genome" to predict how mutations alter RNA splicing, gene expression, and chromatin architecture. Discover how the unified AlphaGenome Variant Impact (AVI) score combines regulatory deep learning models with AlphaMissense to isolate disease-causing variants and accelerate genomic discovery.
Conclude the day with an informal networking hour to exchange ideas with Google Engineers, Cloud Solutions Architects, and academic peers over drinks and appetizers.
Participation is complimentary for faculty, researchers, lab leads, and academic staff. Please complete the registration form below.
