I Can't Believe It's Not Better: Understanding Deep Learning Through Empirical Falsification Workshop Organizers include: Javier Antorán Panelists include: Kevin Murphy

Google is proud to be a Platinum Sponsor of the European Conference on Computer Vision (ECCV 2022), a premier forum for the dissemination of research in computer vision and machine learning (ML). This year, ECCV 2022 will be held as a hybrid event, in person in Tel Aviv, Israel with virtual attendance as an option. Google has a strong presence at this year's conference with over 60 accepted publications and active involvement in a number of workshops and tutorials. We look forward to sharing some of our extensive research and expanding our partnership with the broader ML research community. We hope you'll visit our on-site or virtual booths to learn more about the research we're presenting at ECCV 2022, including several demos and opportunities to connect with our researchers.

Abstracts of the invited speaker talks Modeling, Global Constraints, and Decomposition by J. Christopher Beck and Applications of Graph Search in Group Theory and Proteomics by Gene Cooperman, presented that the 2013 SoCS Symposium.

The lab of Atul Butte builds and applies computational tools that convert more than 300 billion points of molecular, clinical, and epidemiological data-measured by researchers and clinicians over the past decade-into new diagnostics, therapeutics, and novel insights into disease. Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his team's recent work on clinical evaluations of patients presenting with personal genomes, enabled by the largest curated database of human disease-associated SNP's. With so many genomes now sequenced from individuals from a variety of ethnic backgrounds, and analyzed in a clinical context, Dr. Butte will present how ethnicity alters the background distribution of disease SNP's. Finally, Dr. Butte will also present his team's recent work on environment-wide association studies (EWAS) and how they enable studies of gene-environment interactions.