Samsung NEXT, the arm of Samsung that works with entrepreneurs and innovators to build, grow and scale software and services, launched Samsung Next Q Fund to enable the potential of artificial intelligence.
Q Fund will provide Seed and Series A financing to startups solving AI problems, as well as those using AI to solve computer science problems. It will have the flexibility to invest in non-obvious, forward-thinking approaches to AI instead of the applied AI technologies we see in the market today.
Problem spaces Q Fund will examine could include areas such as:
- learning in simulation,
- scene understanding,
- intuitive physics,
- program learning programs,
- robot control,
- human computer interaction and
- meta learning.
The fund is particularly interested in innovators who apply novel approaches to these challenges.
The Samsung NEXT team behind Q Fund – led by Vincent Tang and Ajay Singh – works closely with researchers to identify new approaches to machine learning and perform technical diligence on new opportunities.
- Liangliang Cao (Columbia),
- Shih-Fu Chang (Columbia),
- David Duvenaud (Vector Institute),
- Song Han (MIT),
- Tim Kraska (MIT),
- Zach Lipton (Carnegie Mellon),
- Olga Russakovsky (Princeton),
- Julian Togelius (NYU), and