Rise of AI Conference 2019
| title | author | length |
|---|---|---|
| Are you really safe? | Aleksandar Stojanovic | 27m |
Company AVA aggregates thousands of data sources into a single risk score that combines past, present and predictive models for locations worldwide. System… | ||
| AI Healthcare – A Cybernetic Perspective | MARTIN CIUPA | 33m |
A cybernetic system for stroke rehab that pairs AI, VR and gamified kinematic exercises with EMG, EEG and galvanic skin sensing and a tablet companion… | ||
| Breast cancer detection with IBM PowerAI Vision | Florin Manaila | 24m |
Proof‑of‑technology uses IBM AC922 Deep Learning System and IBM PowerAI Vision to classify histopathology slides (over 10,000 microscopy images) with a… | ||
| Face Recognition | SHAUN MOORE | 31m |
Trueface compresses a facial model from ~400–500 MB to a 5 MB edge model that runs on Raspberry Pi–class hardware, represents faces as a 512-dim template, and… | ||
| How AI Adaptive Technology can upgrade Education | KP THAI | 33m |
Squirrel AI Learning builds an adaptive engine that maps nano-sized knowledge components with a multi-dimensional probabilistic knowledge state model plus… | ||
| Cognitive claims handling with AI | SOFIE QUIDENUS-WAHLFORSS | 24m |
Company builds a narrow AI claims engine that combines computer vision and natural language processing to extract about 200 data fields from a claim (vs 7–14… | ||
| How to operationalize AI | CHRISTIAN KIRSCHNIAK | 22m |
Most AI projects stop at prototypes — roughly 5–10% reach enterprise outcomes — because teams build things like a customer-segmentation recommendation model… | ||
| Virtual Human Agent for Smart City | Atsushi Ishii | 23m |
A virtual human called Rachel runs on AR tablets and monitors, detects objects (suitcase, chairs) and faces, classifies expressions (happy, surprised, neutral)… | ||
| How to put AI to work in different industries | Wolfgang Hildesheim | 27m |
Examples of deployed systems and measurable outcomes: IBM demonstrates Project Debater arguing policy, Watson winning Jeopardy (2011) and live deployments like… | ||
| How to turn your ideas in AI into products | ULRICH SCHMIDT | 18m |
Distributor shows how to move pre-trained models from cloud to edge using supplier toolchains and hardware: model conversion with X-Cube.AI and pruning… | ||
| AI is fuelling all areas of business | BART SCHNEIDER | 30m |
GPUs power the world’s largest supercomputers and accelerate real deployments: CT scans detect cancer with 80% accuracy and immediate radiologist alerts… | ||
| Science Will Eat Its Children | Georg Wittenburg | 25m |
Claims that routine data science is automatable with a library of specific classifiers — Inspirient reports 226 classifiers that detect file delimiters, time… | ||
| nothing matches | ||