Maybe he is waiting for the next ATH to buy in. And after it drops 10cent, he will start again and play tom&jerry with himself
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
HarryCool1
Regular
What time is the explosion today Esqy? 2:24 or 2:34 like yesterday?Chippers ,
Here is one i prepared earlier.
BRAINCHIP HOLDINGS LTD
ASX : BRN Share : Incorporated in everything electronic.
$0.3725
Today's Change
UP $0.1125 ( Up Shiploads )
* Eveningstar ( Random number generator )
13th Feb 2024
UNDERVALUED
FAIR VALUE $5.21
FIVE STAR RATING
Regards ,
Esq.
Fact Finder
Top 20
Hi All
I know you are all hanging out for some more science so I have been digging around. The following paper does not refer to AKIDA technology and is using a Loihi type Leaky SNN but this makes no difference because AKIDA is more versatile and efficient so I would ask you to consider this when discussing valuations "What would a state of the art secure ID system for mobile phones be worth":
https://ieeexplore.ieee.org/abstract/document/10380750/
IEEE Internet of Things Journal, 2024
Sensor-based continuous authentication mechanisms have demonstrated promising capabilities in enhancing the security of smart devices. In this paper, we present SNNAuth, a novel sensor-based continuous Authentication system on smartphones that utilizes Spiking Neural Networks (SNNs), leveraging biometric behavioral patterns captured by smartphone sensors. To enhance discriminative feature extraction, we introduce positional encoding into the time slicing of normalized sensor data. We design the ANN-SNN model, which transforms the trained artificial neural network (ANN) into an SNN by converting weights and activations into suitable spike neuron models and synaptic connections. The ANN-SNN model, designed for efficient computation and increased the robustness, is specifically trained to extract temporal features of a legitimate user. With the extracted features of a legitimate user, we then train the one-class k-Nearest Neighbors, which is employed for conducting the classification for all users. Based on the trained ANN-SNN and one-class kNN, ANNAuth determines whether the current user is legitimate or an imposter. Finally, we evaluate the performance of ANNAuth on two public datasets and our dataset, and the experimental results demonstrate that ANNAuth outperforms state-of-the-art solutions by achieving the highest accuracy and the lowest equal error rates (EERs) on all three datasets”
Todd Vierra demonstrates this biometric ability using infra red in his CES 2024 interview and unless my memory is faulty does not exclude AKIDA being able to do this with other vision systems such as Prophesee's neuromorphic sensor.
I should mention that while the paper discusses using Leaky SNN a number of the reference paper authors they cite lead back to AKIDA.
My opinion only DYOR
Fact Finder
I know you are all hanging out for some more science so I have been digging around. The following paper does not refer to AKIDA technology and is using a Loihi type Leaky SNN but this makes no difference because AKIDA is more versatile and efficient so I would ask you to consider this when discussing valuations "What would a state of the art secure ID system for mobile phones be worth":
“SNNAuth: Sensor-Based Continuous Authentication On Smartphones Using Spiking Neural Networks
Yantao Li, Xinyu Sun, Zhenyu Yang, Hongyu HuangIEEE Internet of Things Journal, 2024
Sensor-based continuous authentication mechanisms have demonstrated promising capabilities in enhancing the security of smart devices. In this paper, we present SNNAuth, a novel sensor-based continuous Authentication system on smartphones that utilizes Spiking Neural Networks (SNNs), leveraging biometric behavioral patterns captured by smartphone sensors. To enhance discriminative feature extraction, we introduce positional encoding into the time slicing of normalized sensor data. We design the ANN-SNN model, which transforms the trained artificial neural network (ANN) into an SNN by converting weights and activations into suitable spike neuron models and synaptic connections. The ANN-SNN model, designed for efficient computation and increased the robustness, is specifically trained to extract temporal features of a legitimate user. With the extracted features of a legitimate user, we then train the one-class k-Nearest Neighbors, which is employed for conducting the classification for all users. Based on the trained ANN-SNN and one-class kNN, ANNAuth determines whether the current user is legitimate or an imposter. Finally, we evaluate the performance of ANNAuth on two public datasets and our dataset, and the experimental results demonstrate that ANNAuth outperforms state-of-the-art solutions by achieving the highest accuracy and the lowest equal error rates (EERs) on all three datasets”
Todd Vierra demonstrates this biometric ability using infra red in his CES 2024 interview and unless my memory is faulty does not exclude AKIDA being able to do this with other vision systems such as Prophesee's neuromorphic sensor.
I should mention that while the paper discusses using Leaky SNN a number of the reference paper authors they cite lead back to AKIDA.
My opinion only DYOR
Fact Finder
buena suerte :-)
BOB Bank of Brainchip
Here it is 
ASX query
ASX query
toasty
Regular
The speeding ticket and the response - both as expected!!
DingoBorat
Slim
I "believe" this is what happens, when we get a "taste" of investor interest, outside of the sweet little old, backwater ASX..
I hope the "entities" shorting BRN stock have taken Worldwide interest in this Company, in the Future, into consideration...
I hope the "entities" shorting BRN stock have taken Worldwide interest in this Company, in the Future, into consideration...
Last edited:
buena suerte :-)
BOB Bank of Brainchip
YES!!!Any chance of a speeding ticket?
DingoBorat
Slim
Wow!
BrainChip, just told the officer..
"We are abiding by your rules, go f@%k yourselves!"
I would have preferred them to have used it more constructively though..
White Horse
Regular
Yes, and good on her.Dated November 8,
Did Kim Larkin just cut and paste the last response
Same shit , different day.
FF, there's a gap in my face ( more commonly called " a cake hole " ) that is sometimes evident and sometimes not, which is filled, and often, usually, but keeps re-appearing from time to time.
I don't want this gap to " not be filled " ever, otherwise I won't be feeling too well. I also don't want the " big gap " which is approaching with some certainty, to appear before I'm ready, and I'm not yet ready for that event to 'spike' my existence quite just yet, IMHO. But one never knows, does one...........
Personally, these "gaps" that " have to be filled", on the stock market IMO, are somewhat non-sensical, but I might be wrong I suppose.
Anyway, I'm a bit late for my own gap that has to be filled at this time of day, so I'd better go and remedy that very soon.
Cheers, and GLTAH..... Nice action today, it's about time.
Akida Ballista >>>>> Gaps - there's a very big gap before we reach the zenith I reckon <<<<<
hotty...
Xhosa12345
Regular
Really the answer to Q3 should be:
"BRN is leading the development of artificial intelligence, machine learning, and neural networks. Recently there has been huge interest in this technological field, for instance Nvidia and ARM have reached record prices on the NYSE. BRN is a member of the ARM AI ecosystem and that of Intel among others."
Strike "among others" - that will bring a Ford "Please explain!"
TheDrooben
Pretty Pretty Pretty Pretty Good
Gap closed and it's 2.30pm........strap in
mrgds
Regular
You absolutely got that right Dio,
5 days to orchestrate a honest/within boundaries/to the point reply and we get ............................
No I know what Elon would have said ................................ Grow
Food
Yourself
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