0-2023 tinyML Summit - Best Product nomination form

tinyML Summit 2023

Best Product of the Year

Nomination Form

Deadline for Submission: February 28, 2023

Nomination instructions

Nomination information

Note: all fields marked with * are required

Name of Product

0/50 words

Nominee: primary person responsible for the product that can be contacted to answer questions about it

First Name *

Last Name *

Job Title *

Company Name *

Nominator contact information

First Name *

Last Name *

Company Name *

Email *

Categories/Criteria

Note: all fields marked with * are required

Category qualification criteria:

Announced in the previous 24 months and available in the market at the time of the summit. For software products, new features or updates to existing product in same timeline are permissible.

Demonstrated results on end application solution, evidenced by a joint PR / case study or similar shareable material (should be in public domain at time of submission)

Please choose one category for the product.
*

ML Processing Chips - Microcontrollers (MCUs) performing ML tasks

ML Processing Chips - Micro Neural Processing Units (NPUs) / AI accelerators

Vision Product - defined as products/solutions using visual spectrum input to analyze / perform a task (can be a hardware solution, computer vision software solution)

Sensor Product - Can be IMU, radar, biosensors, multi-modal sensors solutions, audio and other time-series data (non-vision tasks)

Other*

*If "other" please explain

0/250 words

Please fill in the boxes below. If there is no answer or comment please enter N/A.

Date of market introduction or announcement (must be between January 1, 2022 and December 31, 2022)
*

0/250 words

Date of commercial availability or anticipated commercial availability (must be before February 28, 2022)
*

0/250 words

How and where the product can be purchased *

0/250 words

Description (what is in the product)
*

0/250 words

Performance compared to prior art (if using proprietary benchmark, please provide explanation of the benchmark)
*

0/250 words

Power consumption compared to prior art (please provide explanation of the operating context and measurement conditions)

0/250 words

Likely commercial or societal impact
*

0/250 words

Ease of incorporating in practical systems
*

0/250 words

If additional information is needed for us to evaluate the nomination, please upload here. If a file is too large to upload please send to Bette Cooper.

0/250 words

If more information is needed than will fit in fields (or an quetions) please send to Bette Cooper at bette@tinyml.org .