Intro

Why join?

Prize pool

Timeline

55,000 zł (12,000€+) Prize Pool

2024 Poland Tech Arena

OOD Approximate Nearest Neighbors Search

Huawei Tech Arena is an annual competition open to CEE region listed countries. As an industry leader in information, communications technology, infrastructure and smart devices, Huawei is eager to work with the next generation of innovation thinkers.

The challenge this year, we're happy to announce is:

Approximate Nearest Neighbor Challenge

Discover the Challenge

REASONS TO JOIN

Challenge

yourself by competing with fellow participants for the prizes in this exciting realm of the algorithm.

Create

groundbreaking solutions and pave the way for generations to come.

Career Opportunities

by standing out with your work, outside-the-box thinking and innovative ideas.

Collaborate

by exchanging ideas with peers and industry experts.

PRIZE POOL

1st Place

20,000 zł

4,500€+

( estimated equivalent)

1 Placement Available

Equally shared among team members

3rd Place

5,000 zł

1,000€+

( estimated equivalent)

3 Placements Available

Equally shared among team members

2nd Place

10,000 zł

2,000€+

( estimated equivalent)

2 Placements Available

Equally shared among team members

WHO CAN JOIN?

Undergraduates, Master's or PhD students.

Registered at a higher education institution in CEE Region listed countries.

Students studying engineering, mathematics, computer science or other related fields.

Students who graduated up to 2 years ago are also eligible.

Any of the above?

Then you're the perfect candidate!

*Tech Arena Poland registrations are exclusively reserved for listed countries of CEE region (Huawei staff/interns are not eligible)

MORE ABOUT THE CHALLENGE

CHALLENGE: OOD Approximate Nearest Neighbors Search

Approximate Nearest Neighbor (ANN) is widely used in scenarios such as Internet search recommendation and large model retrieval enhancement. This scenario has high requirements on latency and throughput.

This challenge is to encourage the development of search algorithms for special practical variant of the ANN. One practical problem of ANN is the business data is constantly being updated, the data used in building index may be out of distribution of the true dataset. This change in the distribution of data also happens in the searching of multimodal scene.