BRN Discussion Ongoing
- Thread starter TechGirl
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Dallas
Regular
Rugged computing takes on the battlefield networking challenge
Connectivity, networking, SWaP, and thermal management are among the highest priorities of rugged computing designers to support mobile warfighters at the edge.
TechGirl
Founding Member
Yes thereās lots of stupid governments around the globe hopefully akida will make them smarterOther countries aren't suffering from the lack of ai from what I hear... just stupid government people. I think they like frustrating people. They don't want happy people..
RobjHunt
Regular
Hey TT77, certainly not speculating. Yep, the quarterlies. Due to the NDAās & EAPās & ABCās an AEIOUās (sorry, might have gone too far there
) itās my opinion that then is an assumption of an assured payday I may very well be wrong but I donāt think so
Pantene!
Bravo
If ARM was an arm, BRN would be its bicepsšŖ!
OK? It's late and I don't really get it. Why do balls come in pairs then?
JK200SX
Regular
Dunno, but here's another one...... Why can't gypsies have babies?
My thinking is they are mining very close to AKIDA califirnication territorycahoots perhaps?
You don't just step down from one to none without knowing something, plus there's 100 NDASand I'm liking my dot join to HRL labs..afterall PVDM cited their spiking neural networks patent from 2012 in 2025 from memory
The concept of zero-shot learning has been around for a few years as explained in the HRL patent I cited. In this document, the zero-shot learning process is software intensive carried out on a programmable computer.
WO2021118697A1 PROCESS TO LEARN NEW IMAGE CLASSES WITHOUT LABELS
[00043] The following references are cited and incorporated throughout this application. For clarity and convenience, the references are listed herein as a central resource for the reader. The following references are hereby incorporated by reference as though fully set forth herein. The references are cited in the application by referring to the corresponding literature reference number, as follows: 1. Xian, Y., Schiele, B. and Akata, Z., 2017. Zero-shot learning-the good, the bad and the ugly. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.4582-4591 ...
[00067] (3.5) Step 5: Zero-Shot Attribute Distillation (element 508)
[00068] Given the attributes from the sources in the attribute dictionary (element 540), the initial target network (element 526), and the source models, the unlabeled target data (element 522) needs to be processed so that the unlabeled target data (element 522) maps onto the right set of attributes (i.e., map target data onto abstract attributes (element 542). To achieve this mapping, the closest source model or models is selected based on the SSG (element 516) and then a zero-shot attribute distillation method (element 544) is used to align the sources with the target. Alignment happens by learning a shared latent space for the source and target models that is predictive of the attributes for the source data and simultaneously generative of the target data. As a result, there is a new target network (element 546) that maps target data onto a probability distribution over the abstract attributes in the attribute dictionary (element 540). This distribution can then be mapped onto a label or sentence. Note that in all of these five steps, not a single training label was used to assign labels to data from a new domain.
Claim 1. A system for learning object labels for control of an autonomous platform, the system comprising:
one or more processors and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the one or more processors perform operations of:
performing pseudo-task optimization to identify an optimal pseudo-task for each source model of one or more source models;
training an initial target network with self-supervised learning using the optimal pseudo-task;
extracting a plurality of source image components from the one or more source models;
generating an attribute dictionary of abstract attributes from the plurality of source image components;
using zero-shot attribution distillation, aligning a set of unlabeled target data with the one or more source models that are similar to the set of unlabeled target data;
mapping the set of unlabeled target data onto a plurality of abstract attributes in the attribute dictionary; generating a new target network from the mapping;
using the new target network, assigning an object label to an object in the unlabeled target data; and controlling the autonomous platform based on the assigned object label.
Bravo
If ARM was an arm, BRN would be its bicepsšŖ!
Listen to the entirety of this and you will see that some people have an unexpected set of balls.
In case the first one is a fault.
Fact Finder
Top 20
Finally someone who agrees with me about Intel. MOST except you seems to forget the following:
āIn 2020, Intel was forced to admit that it would be severely delaying its 7nm node, recently rebranded as Intel 4. This precipitated an exodus of leadership and the admission that Intel might have to face the unthinkable and outsource its own manufacturing.29 July 2021ā
They sacked the CEO and got a new one but in an organisation the size of Intel I doubt that the old or the new CEO were or are hands on in the foundry making the 7nm chips.
The idea that just because the US Government gives them subsidies that they will in a couple of years catch up TSMC or Samsung and have the ability to make 7, 5, 4 & 2nm.
I have believed that Intel is a dead man walking in the space it is trying desperately to occupy since 2020.
My opinion only DYOR
FF
AKIDA BALLISTA
RobjHunt
Regular
Because maybe males canāt be that silly with just one
Bravo
If ARM was an arm, BRN would be its bicepsšŖ!
RobjHunt
Regular
Hehe, spot on!
Dallas
Regular
2023 Mercedes-AMG EQS 53 4Matic Starts At $147,500 In The US
The hot version of the Mercedes electric flagship, with up to 751 hp, is expected to reach US customers starting in late summer 2022.
insideevs.com
Frank Zappa
Regular
Those dynamos were so hard to fit to the bike . I got one for Christmas
when I was around 12 . It was reduced to a very flat appearance after converting the screwdriver to a hammer after an hour of trying to get it to work . Graphene . Isnāt that an ingredient that is in our shots to protect us from the virus 
and itās variants.Fact Finder
Top 20
Great article Dallas. Definitely a must read. Particularly the section about heat and the problems it creates and as you said the Panasonic quote below is very alluring with Socionext in the background:Rugged computing takes on the battlefield networking challenge
Connectivity, networking, SWaP, and thermal management are among the highest priorities of rugged computing designers to support mobile warfighters at the edge.www.militaryaerospace.com
āAt the same time, as solutions miniaturize, it becomes not just about new applications, but new platforms as well,ā Jedynak says. āTaking some host that previously had no intelligence and now adding smaller, lower power and more affordable compute and network capabilities. Think of a smart doorbell as an example. What becomes interesting and compelling is that once these capabilities become fielded, we then discover new ways of using them. Itās about ubiquitous computing, just like we see in industrial and commercial applications, but introduced into the tactical edge. Now we can bring capabilities, tracking, built-in-test, sensing, etc., to platforms that previously had none.ā
My opinion only DYOR
FF
AKIDA BALLISTA
mrgds
Regular
You mean, both the hospital and Brainchip need "patients" ..............I was going to say morphine but I have a feeling that the correct answer is a little more likely to be patience.
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