"how many existing products can be replaced with a neural network running on ultra low power".
Ummm...what do you think tinyML is all about?
TinyML takes edge AI one step further, making it possible to run deep learning models on microcontrollers, which are much more resource-constrained than the small computers that we carry in our pockets and on our wrists.
While a standard consumer CPUs consume between 65 watts and 85 watts and standard consumer GPU consumes anywhere between 200 watts to 500 watts, a typical microcontroller consumes power in the order of milliwatts or microwatts.
This low power consumption enables the TinyML devices to run unplugged on batteries for weeks, months, and in some cases, even years, while running ML applications on edge.
https://towardsdatascience.com/an-introduction-to-tinyml-4617f314aa79
- Forums
- ASX - By Stock
- BRN
- Insane power efficiency
Insane power efficiency, page-21
-
- There are more pages in this discussion • 12 more messages in this thread...
You’re viewing a single post only. To view the entire thread just sign in or Join Now (FREE)
Featured News
Add BRN (ASX) to my watchlist
(20min delay)
|
|||||
Last
20.3¢ |
Change
-0.003(1.22%) |
Mkt cap ! $375.8M |
Open | High | Low | Value | Volume |
21.0¢ | 21.0¢ | 20.0¢ | $508.4K | 2.478M |
Buyers (Bids)
No. | Vol. | Price($) |
---|---|---|
117 | 2186239 | 20.0¢ |
Sellers (Offers)
Price($) | Vol. | No. |
---|---|---|
20.5¢ | 1050334 | 27 |
View Market Depth
No. | Vol. | Price($) |
---|---|---|
115 | 2121663 | 0.200 |
35 | 1371599 | 0.195 |
58 | 1829393 | 0.190 |
28 | 1221508 | 0.185 |
50 | 1408283 | 0.180 |
Price($) | Vol. | No. |
---|---|---|
0.205 | 1050334 | 27 |
0.210 | 1127298 | 17 |
0.215 | 374697 | 13 |
0.220 | 806192 | 22 |
0.225 | 736159 | 18 |
Last trade - 13.57pm 09/07/2024 (20 minute delay) ? |
Featured News
BRN (ASX) Chart |