21–30 of 57 posts
How about this kind of extra processor comes in a mobile phone, which improves regular camera vision, all health sensors, better everything that we can do with mobile phones..
But not yet, software is not ready for it yet.
look like fraud
This is a dev board, not a consumer product. And (contrary to the title) the press release explicitly says that it is not intended for "deep learning." Acceleration is needed for training -- not running the models themselves. A quick glimpse of the power used (1 watt) lets you know exactly how much "acceleration" is going on in here. This is meant for tiny devices. EDIT: My point is that this is a small-run dev board…
What happens when 1000 of these are plugged in to 1000 drones and they all communicate? I don't know enough to even guess but perhaps something interesting and dangerous?
look like fraud
Hey, I'll bite. Why do you think that?
'With Fathom, every robot, big and small, can now have state-of-the-art vision capabilities'
'It means the same level of surprise and delight we saw at the beginning of the smartphone revolution'
'With more than 1 million units of Myriad 2 already ordered'
tl;dr: because, to an outsider, it sure does look like fraud.
I think it's just can make sense to push to the market this kind of chip early and don't wait to be bundle with another device. Kudo for Caffe support.
This is a dev board, not a consumer product. And (contrary to the title) the press release explicitly says that it is not intended for "deep learning." Acceleration is needed for training -- not running the models themselves. A quick glimpse of the power used (1 watt) lets you know exactly how much "acceleration" is going on in here. This is meant for tiny devices. EDIT: My point is that this is a small-run dev board…
Sometimes training is done on the customer site. For example a noise cancellation algorithm may learn audio characteristics of the user's environment to offer better performance.
This is a dev board, not a consumer product. And (contrary to the title) the press release explicitly says that it is not intended for "deep learning." Acceleration is needed for training -- not running the models themselves. A quick glimpse of the power used (1 watt) lets you know exactly how much "acceleration" is going on in here. This is meant for tiny devices. EDIT: My point is that this is a small-run dev board…
Sure, maybe a nannycam. Maybe whatever you want to run on your Arduino / Raspberry Pi. Maybe bolted on to a small lightweight drone swarm that communicates to itself while offline to learn about its environment. What happens when 1000 of these are plugged in to 1000 drones and they all communicate? I don't know enough to even guess but perhaps something interesting and dangerous?
I don't fully get the negativity of comments on HN for this product on the sole fact that it's currently an usb stick. I think it's just can make sense to push to the market this kind of chip early and don't wait to be bundle with another device. Kudo for Caffe support.
Given the limited availability of phones and products with the Myriad 2, and the fact that you might not be targeting a phone anyway, being able to buy and develop on a cheap USB stick is an incredibly smart move.
Wouldn't this be limited to something like 10Gb/s throughput? That's not much compared to a GPU bus. Cool idea though. I wish this press release wasn't so light on specs.