High-dimensional data, characterized by many features, can be difficult to visualize effectively. Dimensionality reduction techniques, such as PCA, UMAP, and t-SNE, address this challenge by projecting the data into a lower-dimensional space while preserving important relationships. TopoMap is another technique that excels at preserving the…
GraphRAG uses LLM-generated knowledge graphs to substantially improve complex Q&A over retrieval-augmented generation (RAG). Discover automatic tuning of GraphRAG for new datasets, making it more accurate and relevant.
The ImageCLEFmedical 2024 Caption task on caption prediction and concept detection follows similar challenges held from 2017–2023. The goal is to extract Unified Medical Language System (UMLS) concept annotations and/or define captions from image data. Predictions are compared to original image captions. Images for both…
Multimodal processing and language generation require models to internally represent both language and vision, and then generate contextually appropriate responses. To do so with arbitrary images and textual inputs in the medical field, requires additional high performance and fidelity. This paper presents the overview of…
College freshman Dexter Greene and Microsoft research manager Richard Black discuss how technology that stores data in glass is supporting students as they expand earlier efforts to communicate what it means to be human to extraterrestrials.
Forty-seven years after NASA sent a “Golden Record” into deep space to document humanity’s view of the world, Microsoft’s Project Silica is teaming up with a citizen-science effort to lay the groundwork — or, more aptly, the glasswork — for doing something similar. Golden Record…
Cloud providers offer storage-optimized VMs equipped with locally attached storage to meet the high performance requirements of cloud users. However, current cloud providers cannot enable live migration for storage-optimized VMs due to the high resource overheads. Moreover, resources should be permanently provisioned for live migration…
In a world where humanity put a man on the moon before adding wheels to luggage, the rapid advancements in AI seem almost paradoxical. Microsoft’s chief data scientist Juan Lavista, in a recent Global Stage conversation with Tony Maciulis, highlighted this contrast to emphasize how swiftly AI…
Because of their probabilistic nature, all AI systems will make mistakes. One of the main challenges in human-AI interaction is to foster appropriate reliance on AI and empower users of AI systems to determine when to accept or not accept an AI system's recommendation. Hear…
This talk discusses how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better understand biology.
This talk discusses Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our ability to predict and mitigate the impacts of extreme events, air pollution, and the changing climate.
This talk discusses teaching language models to self-improve using a preference oracle like GPT-4, framing it as a two-player game to find an optimal policy at a Nash equilibrium, and achieving state-of-the-art win rates against GPT-4 Turbo on benchmarks such as AlpacaEval and MT-Bench.
