Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, University of Tartu

Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, University of Tartu

  • Sé el primero en comentar

  • Sé el primero en recomendar esto

Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, University of Tartu

  1. 1. Software is eating the world. AI is going to eat software. Tambet Matiisen Mobile Monday 14.01.2019
  2. 2. AI success stories Image recognition Speech recognition Machine translation But what about? Algorithms? Databases? UI design?
  3. 3. Beyond perception: algorithms
  4. 4. Learning to imitate Photoshop filters Xu et al. Deep Edge-Aware Filters (2015)
  5. 5. Learning to imitate any existing costly algorithm ● No shortage of training data - you can always generate more! ● The algorithm now runs in constant time and memory. ● Easy to make tradeoffs between accuracy and speed: ○ Want more accuracy? Add more layers! ○ Want faster running time? Remove some layers! ● Easy to port to new platforms or even bake into silicon! ● Examples: weather prediction, fluid simulation, ... ● Caveat: may need network architecture tuning. Andrej Karpathy. Software 2.0. https://medium.com/@karpathy/software-2-0-a64152b37c35
  6. 6. Beyond perception: databases
  7. 7. Learned indexes f(x) = p x1 x2 ... xp-1 xp xp+1 ... xn p - position of the record in sorted array x > xpx < xp Kraska et al. The Case for Learned Index Structures (2017)
  8. 8. Learned indexes Kraska et al. The Case for Learned Index Structures (2017) ● Increased lookup speed. ● Vastly less storage needed. ● From O(logn) to O(1)? Actually more like O(sqrt(n)), which is > O(logn).
  9. 9. Beyond perception: UI
  10. 10. Automatic generation of UI elements https://twitter.com/TeleportHQio/status/1043245039261044736
  11. 11. What you can do about it?
  12. 12. Learn AI! Stanford course “Convolutional Neural Networks for Visual Recognition” http://cs231n.github.io/ fast.ai course “Practical Deep Learning For Coders” https://course.fast.ai/ Andrew Ng deep learning courses https://www.deeplearning.ai/
  13. 13. Thank you! tambet@ut.ee

    Sé el primero en comentar

    Inicia sesión para ver los comentarios

Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, University of Tartu

Vistas

Total de vistas

269

En Slideshare

0

De embebidos

0

Número de embebidos

127

Acciones

Descargas

1

Compartidos

0

Comentarios

0

Me gusta

0

×