AWS re:Invent 2019 | AI & Machine Learning Summit
2019-12-03
Las Vegas, United States
[AWS re:Invent 2019, AWS re:Invent 2019 Global Partner Summit, AWS re:Invent 2019 | AI & Machine Learning Summit, AWS re:Invent 2020, AWS re:Invent 2021, AWS re:Invent 2022, AWS re:Invent 2023]
| title | author | length |
|---|---|---|
| Machine Learning Summit | Michelle K. Lee | 03h 51m |
Half-day of 30-minute lightning talks report concrete results: a cytometry pipeline using cytometry single-cell matrices and a forest of shape‑constrained… | ||
| How ML can Help Tailor Immunotherapies to Cancer Patients | Raphael Gottardo | 28m |
Single-cell cytometry measures millions of cells per sample across ~40–50 proteins and a pipeline uses single-cell cytometry plus cloud compute (using AWS… | ||
| Deep learning for disaster management and response | Cornelia Caragea | 25m |
Tornadoes, hurricanes, earthquakes, plane crashes, bombings, terrorist attacks - deadly disasters happen very frequently. Social media platforms such as… | ||
| AI will drive the industrial IoT to the cloud | Guido Jouret | 26m |
Argues AI pushes industrial IoT into the cloud by needing large-scale training, digital twins and coordination of millions of microgrids; claims electrifying… | ||
| Deep learning in deep nets: Helping fish farmers feed the world | Bryton Shang | 25m |
Aquabyte builds underwater camera rigs and image pipelines that run CNNs for body‑part detection, depth mapping and 3D weight estimation, deployed on working… | ||
| Deepfakes, audiofakes, and the future of media | Delip Rao | 26m |
Reality Defender launches as a production‑focused platform for the 2020 election that combines forensic models, segmentation to localize manipulations, and… | ||
| From seed to store: AI to optimize the indoor farms of the future | Henry Sztul | 25m |
Bowery runs warehouse-scale indoor vertical farms using hydroponics and LED lighting, claiming 100x more productive land use and 95% water efficient… | ||
| Big data for tiny patients: Applying ML to pediatrics | Judith Dexheimer | 31m |
A natural language processing pipeline reads only unstructured neurology progress notes to flag children who may need neurosurgical evaluation for intractable… | ||
| Machine learning and society: Bias, fairness, and explainability | Pietro Perona | 39m |
Using real world examples, this session will explore the role of Machine Learning and society today to understand, measure and systematically mitigate bias in… | ||
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