mrgds
Regular
I hope the link works?
@MC will be "barred up ".............
I hope the link works?
Lytro were the first to move here but couldn’t capture enough market share to succeed.I was just watching an ad for Google Pixel Pro 7 smartphone and one of the features was un bluring of photos. Now I know Qualcomm used Prophesee/Synsense to do the same, but I wonder if Google might use someone else? perhaps like......us??
Edit: on further reflection the ad is talking about de blurring of existing photos, so not as exciting as I first though. But if Google know about what Akida can achieve with taking the original photo then all the better.
You shouldn't speak on an empty brain.Is the motley fool short BRN ive never seen so much coverage twice a week View attachment 37349
Is the motley fool short BRN ive never seen so much coverage twice a week View attachment 37349
The TX2 4GB Module is of particularly interest here. As it this “embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1.” Sound familiar?NVIDIA Jetson TX2 series modules give you exceptional speed and power-efficiency in an embedded AI computing device. Each supercomputer-on-a-module brings true AI computing to the edge with an NVIDIA Pascal GPU, up to 8 GB of memory and 59.7 GB/s of memory bandwidth, and a wide range of standard hardware interfaces.
The extended Jetson TX2 family of embedded modules provides up to 2.5X the performance of Jetson Nano in as little as 7.5 W. Jetson TX2 NX offers pin and form-factor compatibility with Jetson Nano, while Jetson TX2, TX2 4GB, and TX2i all share the original Jetson TX2 form-factor. The rugged Jetson TX2i is ideal for settings including industrial robots and medical equipment.
Was it RT who alluded to seeing Nvidia as more like partners than competitors? I've often wondered about the veracity of this statement...I read the other day that the bum-breathing turtle has extended its habitat range. Now it seems it has learnt to speak:
https://www.fool.com.au/2023/05/28/could-nvidia-destroy-brainchip/
...
Could Nvidia destroy Brainchip?
When it comes to artificial intelligence (AI), Nvidia has proven itself to be the leader in the field.
Unfortunately for Brainchip, the AI behemoth’s operations also cover edge AI. This is the market that Brainchip is targeting with its Akida chip. And while its first chip was a commercial flop, management continues to believe its technology is the best in the market.
But can it really compete with Nvidia? Probably not, for a number of reasons. But first, let’s take a look at Nvidia’s edge AI capabilities.
The Jetsons family
No, it’s not that Jetsons family, it’s a set of chips from Nvidia that look set to dominate the edge AI market. The company explains:
The TX2 4GB Module is of particularly interest here. As it this “embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1.” Sound familiar?
But isn’t Brainchip’s Akida chip supposed to be better? Apparently so. Management claims its chip has better performance metrics than rivals.
However, that doesn’t necessarily guarantee sales. Far from it!
If a trusted company like Nvidia has a product on the market that offers “exceptional speed and power-efficiency in an embedded AI computing device”, that will be more than enough for the majority of users. So, why would you take a risk on a product from a company with no track record and a tiny support team? You probably wouldn’t.
This could mean the future is very bleak for Brainchip and its shares. After all, if the company doesn’t generate meaningful revenue in the near future, it will continue to burn through its cash balance and be forced into raising more funds, diluting shareholders yet again, and putting ever more pressure on its share price. Could it ultimately go to zero? I wouldn’t bet against it.
... as little as 30 times as much power as Akida ...
It's true
Because it was America, the bear was armed with an AR-15 Assault Rifle. Now that's what I call a bear market.It's true:
View attachment 37329
28m 35secWas it RT who alluded to seeing Nvidia as more like partners than competitors? I've often wondered about the veracity of this statement...
how old is this podcast?
It is articles like this that cast the seed of doubt in my psyche. If someone has a bit of time and knowledge and would like to cheer me up, could they construct a short rebuttal to that fool? I will love you forever.I read the other day that the bum-breathing turtle has extended its habitat range. Now it seems it has learnt to speak:
https://www.fool.com.au/2023/05/28/could-nvidia-destroy-brainchip/
...
Could Nvidia destroy Brainchip?
When it comes to artificial intelligence (AI), Nvidia has proven itself to be the leader in the field.
Unfortunately for Brainchip, the AI behemoth’s operations also cover edge AI. This is the market that Brainchip is targeting with its Akida chip. And while its first chip was a commercial flop, management continues to believe its technology is the best in the market.
But can it really compete with Nvidia? Probably not, for a number of reasons. But first, let’s take a look at Nvidia’s edge AI capabilities.
The Jetsons family
No, it’s not that Jetsons family, it’s a set of chips from Nvidia that look set to dominate the edge AI market. The company explains:
The TX2 4GB Module is of particularly interest here. As it this “embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1.” Sound familiar?
But isn’t Brainchip’s Akida chip supposed to be better? Apparently so. Management claims its chip has better performance metrics than rivals.
However, that doesn’t necessarily guarantee sales. Far from it!
If a trusted company like Nvidia has a product on the market that offers “exceptional speed and power-efficiency in an embedded AI computing device”, that will be more than enough for the majority of users. So, why would you take a risk on a product from a company with no track record and a tiny support team? You probably wouldn’t.
This could mean the future is very bleak for Brainchip and its shares. After all, if the company doesn’t generate meaningful revenue in the near future, it will continue to burn through its cash balance and be forced into raising more funds, diluting shareholders yet again, and putting ever more pressure on its share price. Could it ultimately go to zero? I wouldn’t bet against it.
... as little as 30 times as much power as Akida ...
Look at the power, and what is the cost?It is articles like this that cast the seed of doubt in my psyche. If someone has a bit of time and knowledge and would like to cheer me up, could they construct a short rebuttal to that fool? I will love you forever.
Nvidia do not know about SNNs.It is articles like this that cast the seed of doubt in my psyche. If someone has a bit of time and knowledge and would like to cheer me up, could they construct a short rebuttal to that fool? I will love you forever.
IMOIs the motley fool short BRN ive never seen so much coverage twice a week View attachment 37349
Something tells me the fools and their shorter mates are trying to put some cold water and cool down the white hot AI sector.I read the other day that the bum-breathing turtle has extended its habitat range. Now it seems it has learnt to speak:
https://www.fool.com.au/2023/05/28/could-nvidia-destroy-brainchip/
...
Could Nvidia destroy Brainchip?
When it comes to artificial intelligence (AI), Nvidia has proven itself to be the leader in the field.
Unfortunately for Brainchip, the AI behemoth’s operations also cover edge AI. This is the market that Brainchip is targeting with its Akida chip. And while its first chip was a commercial flop, management continues to believe its technology is the best in the market.
But can it really compete with Nvidia? Probably not, for a number of reasons. But first, let’s take a look at Nvidia’s edge AI capabilities.
The Jetsons family
No, it’s not that Jetsons family, it’s a set of chips from Nvidia that look set to dominate the edge AI market. The company explains:
The TX2 4GB Module is of particularly interest here. As it this “embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1.” Sound familiar?
But isn’t Brainchip’s Akida chip supposed to be better? Apparently so. Management claims its chip has better performance metrics than rivals.
However, that doesn’t necessarily guarantee sales. Far from it!
If a trusted company like Nvidia has a product on the market that offers “exceptional speed and power-efficiency in an embedded AI computing device”, that will be more than enough for the majority of users. So, why would you take a risk on a product from a company with no track record and a tiny support team? You probably wouldn’t.
This could mean the future is very bleak for Brainchip and its shares. After all, if the company doesn’t generate meaningful revenue in the near future, it will continue to burn through its cash balance and be forced into raising more funds, diluting shareholders yet again, and putting ever more pressure on its share price. Could it ultimately go to zero? I wouldn’t bet against it.
... as little as 30 times as much power as Akida ...
RETRACTIONI read the other day that the bum-breathing turtle has extended its habitat range. Now it seems it has learnt to speak:
https://www.fool.com.au/2023/05/28/could-nvidia-destroy-brainchip/
...
Could Nvidia destroy Brainchip?
When it comes to artificial intelligence (AI), Nvidia has proven itself to be the leader in the field.
Unfortunately for Brainchip, the AI behemoth’s operations also cover edge AI. This is the market that Brainchip is targeting with its Akida chip. And while its first chip was a commercial flop, management continues to believe its technology is the best in the market.
But can it really compete with Nvidia? Probably not, for a number of reasons. But first, let’s take a look at Nvidia’s edge AI capabilities.
The Jetsons family
No, it’s not that Jetsons family, it’s a set of chips from Nvidia that look set to dominate the edge AI market. The company explains:
The TX2 4GB Module is of particularly interest here. As it this “embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1.” Sound familiar?
But isn’t Brainchip’s Akida chip supposed to be better? Apparently so. Management claims its chip has better performance metrics than rivals.
However, that doesn’t necessarily guarantee sales. Far from it!
If a trusted company like Nvidia has a product on the market that offers “exceptional speed and power-efficiency in an embedded AI computing device”, that will be more than enough for the majority of users. So, why would you take a risk on a product from a company with no track record and a tiny support team? You probably wouldn’t.
This could mean the future is very bleak for Brainchip and its shares. After all, if the company doesn’t generate meaningful revenue in the near future, it will continue to burn through its cash balance and be forced into raising more funds, diluting shareholders yet again, and putting ever more pressure on its share price. Could it ultimately go to zero? I wouldn’t bet against it.
... as little as 30 times as much power as Akida ...