Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence(newsroom.intel.com) |
Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence(newsroom.intel.com) |
Nope it's just some rebranded x86 cores.
More details about Nervana architecture. https://www.nervanasys.com/nervana-engine-delivers-deep-lear...
Neuromemristive,although I haven't heard the term before, means using memristors to compute artificial neural networks.
https://www.wired.com/2014/08/ibm-unveils-a-brain-like-chip-...
We're in the 8088 stage of AI right now.
They are just good enough as integrated GPUs for the occasional gamer and that is it.
In my opinion NVIDIA needs a moat. CUDA is a good start but they need proprietary data that's hard to create. I thought they should buy Yahoo which would give them a large and unique data set that NVIDIA users could tie into through an API.
NVidia is the horse to bet on now, but it remains to be seen how they can can expand beyond their current model of leaning heavily on their GPU technology.
As AI becomes more pervasive you'll want to have it integrated into smaller, more power conscious devices, such as would be the case in robotics. Does NVidia have a solution here that scales down? Clearly they're focused on scaling up, as that's where the money is today.
Yes, they have invested heavily in this. Everytime they talk about their "car/auto segment" (which is all the time if you listen to their investor calls) it's mostly about scale-down.
The AI agent can easily be somewhere centralized where power isn't a big deal.
Then the robot stops being analogous to an animal with it's own brain and starts being something more like an appendage.
Or maybe they'll be like those magical mops in Fantasia.
NVIDIA needs to become more efficient and build deep learning hardware instead of graphics cards that do faster computation than CPU. If only they could create a small form AI processor for robotics that could do vision at 500+ frames per second. Take a look at this video from 7 years ago which does 1Khz vision: https://youtu.be/-KxjVlaLBmk?t=158
We need that.
Also can't remember the last time I saw a USB port jammed on sideways.
What does that mean?
Maybe I'm biased, but I can count far more company fortunes that were made doing a simple thing (at the right time) than a complex thing.
Obviously cars are not really power or space limited and they can't rely in connectivity. But it's funny to think about anyway.
People look at a humanoid robot and they see an entity that is similar to a human but made of silicone and steel instead of meat and bone. I think it's more accurate to compare the robots in this factory to the hands and eyes of a large disembodied rackmount brain.
The NVidia PX2 platform[1] - which is what the Telsa self-driving features uses[2] - is available in a 10W config. I presume this isn't the full self-driving mode, but the Jetson TK1 can do full image tracking and recognition in less than 30W (and that is a 2 year old platform).
[1] http://www.nvidia.com/object/drive-px.html
[2] https://blogs.nvidia.com/blog/2016/10/20/tesla-motors-self-d...
[3] http://developer.download.nvidia.com/embedded/jetson/TK1/doc...
https://m.f.ix.de/scale/geometry/1280/q50/imgs/18/1/6/4/4/6/...
