
Explore opportunities and challenges of integrating AI into wargaming, enhancing strategic decision-making and scenario analysis for defense and security applications.

Explore new theories and algorithms for complex dynamical systems, creating trustworthy AI for real-time prediction and national security applications. Learn about innovative neural networks and physics-integrated models.

Explore AI safety with Dr. Yoshua Bengio, focusing on run-time risk evaluation and Bayesian approaches to mitigate potential harm from advanced AI systems.

Explore innovative neural network training methods combining backpropagation and forward-forward algorithms to address limitations in complex, physics-related AI applications.

Explore ontologies, graph deep learning, and AI in materials science, focusing on advanced manufacturing and synchrotron science. Learn about innovative approaches for multimodal analysis and decision-making.

Explorez les techniques d'essais évolutifs et de simulation avec des images hors distribution pour améliorer la robustesse des modèles d'apprentissage automatique.

Explore vector search options, components, and future prospects with industry expert Dmitry Kan in this keynote address from Haystack EU 2022.

Explore similarity learning for efficient neural search implementation, reducing data requirements and training time while addressing domain-specific challenges.

Explore an unbiased neural ranking model for product search, leveraging implicit customer feedback and addressing position bias to improve e-commerce search results.

Explore the integration of generative AI in search, covering strategies, code examples, and the balance between AI capabilities and traditional relevance techniques for accurate results.

Populate and leverage semantic knowledge graphs to enhance search capabilities, enabling concept-based queries, query expansion, and improved long-tail query matching for reduced zero-result searches.

Explore semantic vector applications in travel marketplaces for improved recommendations, ranking, and ad optimization. Learn about evolving algorithms and practical advice for implementation.

Explore strategies for integrating generative AI and language models into search applications, balancing accuracy and relevance while leveraging new capabilities in the evolving search landscape.

Learn to construct representative query sets for offline evaluation in AI/ML experimentation, enhancing understanding of algorithm impacts and streamlining A/B testing processes.

Explore EBSCO's journey in implementing vector search for clinical decision support, addressing challenges in precision and recall for complex medical queries.

Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.

Explore techniques for identifying and mitigating bias in AI systems with NLP expert Arnault Gombert.

Explore AI-powered search engines with Nuclia's API, featuring generative answers and open-source NucliaDB technology.

Explore scaling multimodal embeddings, retrieval, and generation using vector databases. Learn cross-modal search techniques and guide large language models with real-time retrieval.

Explore a framework for testing generative AI search results and summaries using subject matter experts, including methodology, metrics, and potential applications.

Explore significant A/B test results of Vector (Hybrid) Search in e-commerce, revealing revenue increases and improved user engagement. Learn about embedding creation and result blending techniques.