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Apart from being a great song.
Yes it may be a coincidence as well. Just look back what happened at that time and how sp of above 2 was again a coincidence. Antonio told us akida 1000 was not good enough to support the sp.Rgupta that has always and your comments are quiet valid been a bugbear of mine two, I had assumed that they thought they must have been close to contracts and did,nt feel the need to raise a large amount, but unfortunately management always stated that they had enough for a two year runway and they did,nt feel the need to raise further funds,but strangely the money disapaited that fast it was,nt funny,shareholders were caught out by capital raises that they said were,nt needed. But the shorters knew they were coming did,nt they! Coincidence I think not.
Yes it may be a coincidence as well. Just look back what happened at that time and how sp of above 2 was again a coincidence. Antonio told us akida 1000 was not good enough to support the sp.
Sean told us he delivered a five year plan,
Shorters lift the share price from $1.2 to 2.34 and then started shorting there. When everyone thinks 50 cents is the bottom shorters raised their game and end it @15 cents.
Management should understand the complications of ASX 200 company. But yes everything is coincidental. If there are so many coincidences there to happen then what is the role of a manager.
I don't mind all the games played as on date but where is the light on other end of the tunnel??
Sorry to me it is a below average game of a manager. If he was so confident and now his confidence is shattered that means he should tell the board and holders about the same. But the board is advocating 7.5 million RSU which is 120% of achievement for that big coincidence.
We holders have reasons to ask questions.
Dyor
Still we have people here screaming for the CEO to be let go! I think that's very premature, especially since the AGM are just around the corner.It takes a huge amount of time to get new tech to be accepted.
A change from traditional AI to neuromorphic is a huge step.
We are still at the early adopters stage heading firmly towards the early majority stage. We should be at the early majority stage late this year or perhaps early/mid next year.
It is very difficult to guess timelines for adoption stages but client action 8 months or so indicates that the early adopter stage is progressing quite well.
You may have a different view to me where we are in the stage of adoption.
We are getting there but it takes time. Patience.
Understanding the Technology Adoption Lifecycle
Listen from 35min. Yann LeCun briefly talks about analog vs digital spiking neural networks. He then refers to some of his colleagues at Meta looking into SNNs for the glasses due to power consumption problems.
There have been a few job adverts with meta referring to SNNs recently.
There's 666,666 more shares he is planning to give away (2 more batches) to make a total of 1 million shares being donated this time around.
Expect them all being dumped straight away, as the recipients are generally don't hang on to shares.
Anyway, I suspect he is giving them away before he gets too old (and while they still have little value).
I reckon that guy's full of shit Frangipani..
I don't care how many letters he has after his name.
I don't think there's any way, that AKIDA properly configured, would be 91 times less efficient than LoiHi.
Either he's doing something very wrong, or his research is being "paid" for by Intel.
"Power Consumption: Akida consumed just 1 watt during inference, compared to Loihi 2's 2.5 watts"Hi Dingo,
If we're talking about real-time cybersecurity applications, the results from the 2025 white paper titled "BrainChip Akida: A Game Changer in AI Computing for Cybersecurity" indicate that Akida offers superior performance in terms of accuracy and energy efficiency.
Benchmark tests compared BrainChip's Akida 1000 and Intel's Loihi 2 using the UNSW TON-IoT dataset, which includes nine attack classes.
The findings were as follows:
- Accuracy: Akida achieved 98.4% accuracy in classifying nine traffic types, surpassing Loihi 2's 90.2%.
- Power Consumption: Akida consumed just 1 watt during inference, compared to Loihi 2's 2.5 watts.
- Model Size Reduction: Akida reduced its model size by 75%, slightly more than Loihi 2's 72.4% reduction.
- Attack Detection: Akida demonstrated higher accuracy in detecting specific attack types, such as Denial of Service (DOS) attacks (95.4% for Akida vs. 52% for Loihi 2).
View attachment 82322
"Power Consumption: Akida consumed just 1 watt during inference, compared to Loihi 2's 2.5 watts"
Yeah, it makes no sense Bravo..
If we take it as LoiHi using 2 watts, then this wally is saying AKIDA is 91 times less efficient, or using 182 watts??..
Is my simple mass wrong...
Sounds like that other Australian university wally last year, who said AKIDA was using 180 watts, presumably because that was the power supply rating on the PC Shuttle?..
Yes, it's important to compare apples with apples.Yeah, it's a massive discrepancy. All I can think is that the white paper demonstrates performance in certain cybersecurity applications, whereas Dr. Tarek M. Taha was looking at Controller Area Network (CAN) anomaly detection.
Neuromorphic processors like Akida and Loihi are optimized for specific types of tasks and maybe anomaly detection is one that suits Loihi better???
Without knowing what measurement methodologies have been employed or whether, as you say, any peripheral components had been included By Dr. Taha in the power measurements, then it's impossible to know how it could lead to such differing results.
To answer my own question I think at this stage Loihi is a dud.Sorry but i had to give this concept its own post:
There has to be 'hard/can't to fix' problems with Loihi otherwise after all this time it would be commercially available. Is Loihi a Dud??
That that leave AKIDA as a general purpose Neuromorphic AI event based on chip learner out there on its own?
Hi manny,Loihi is not commercially available so using it in tests against AKIDA is really just to show that the commercially available AKIDA stands up.
There are no other decent neuromorphic chips (that can perform required cybersecurity functions) to test AKIDA against.
So its us by default in any case.
There has to be 'hard/can't to fix' problems with Loihi otherwise after all this time it would be commercially available. Is Loihi a Dud??
Most chips are specialised eg vision. AKIDA is a general purpose winner.
An example is Bascom Hunter using AKIDA for 5 different puposes in the one device as shown below (and its only using the AKIDA1000 - 5 of them.
General purpose - multi function - that is our EDGE.
APPLICATIONS
A single SNAP Card, deployed on an airborne ISR platform, occupying only one 3U VPX slot, could deploy up to five complex machine learning algorithms across each of its onboard processors to perform the following missions simultaneously:
• Automated Target Recognition (ATR) on full motion video feeds and imagery (to include 4k and higher)
• Real-time detection and identification of threat radars and their acquisition/ operating modes
• Detection of FISINT (Foreign Instrumentation Signature Intelligence) and/or hacking across the airframe’s 1553 communications bus
• Perform communications analysis to include speech-to-text and foreign language translation of intercepted communications
• Fuse multiple infrared cameras (e.g., SWIR, MWIR, LWIR) to provide a combined infrared operating picture on the ground Multi-user, simultaneous modulation/demodulation