BRN Discussion Ongoing

[7für7]

Over 25 million shares traded on ASX just to end up with a rise of 0,005 dollar at 19 cents

At least not 18.5

 

[Jacob Kiraz]

Over 25 million shares traded on ASX just to end up with a rise of 0,005 dollar at 19 cents

At least not 18.5

News and revenue will only sort this problem

 

[TECH]

Good afternoon,

Dr. Steve Harbour with all due respect can continue focusing on his Analog Technology I am very happy to keep investing in our
Digital Neuromorphic Architecture, and if correct that Dr. Harbour stated that "Digital isn't really Neuromorphic" that is no
different to using this comparison, CD's, DVD's store music and movies, but they "aren't really music or movies" which is
obviously, a stupid statement.

Time will tell if an actual working chip, as in mass production, with no repeatability issues and so on can actually be achieved, but
in the meantime, we'll just keep focusing on our brilliant edge AI.

My opinion only.........Tech.

 

[itsol4605]

Neuromorphic-Computing-Explained
Brain-Inspired-AI-Hardware-and-Spiking-Neural-Networks

 

[manny100]

.

 

[Pom down under]

Would someone with far more technical knowledge than me like to add a comment to this LinkedIn post?

The Age of Pretend The AI industry just spent $200 billion on the wrong problem. Everyone assumes AI’s biggest bottleneck is compute. More GPUs. Bigger clusters. The GPU arms race. That assumption… | Stephen Klein | 88 comments

The Age of Pretend The AI industry just spent $200 billion on the wrong problem. Everyone assumes AI’s biggest bottleneck is compute. More GPUs. Bigger clusters. The GPU arms race. That assumption is wrong. The real bottleneck isn’t compute. It’s architecture, specifically, a design decision...

www.linkedin.com

 

[paxs]

Over 25 million shares traded on ASX just to end up with a rise of 0,005 dollar at 19 cents

At least not 18.5

19.6 average larger than normal volume the creep is on. The marching band is playing

 

[Diogenese]

Good afternoon,

Dr. Steve Harbour with all due respect can continue focusing on his Analog Technology I am very happy to keep investing in our
Digital Neuromorphic Architecture, and if correct that Dr. Harbour stated that "Digital isn't really Neuromorphic" that is no
different to using this comparison, CD's, DVD's store music and movies, but they "aren't really music or movies" which is
obviously, a stupid statement.

Time will tell if an actual working chip, as in mass production, with no repeatability issues and so on can actually be achieved, but
in the meantime, we'll just keep focusing on our brilliant edge AI.

My opinion only.........Tech.

Hi Tech,

I'm inclined to agree.

The following extract from the Harbour's now abandoned patent application set my BS detector atingle:

US2020241525A1 Computer-based apparatus system for assessing, predicting, correcting, recovering, and reducing risk arising from an operator?s deficient situation awareness 20190127

A computer-based apparatus system for assessing, predicting, correcting, recovering, and reducing risk arising from an operator's deficient situation awareness (SA). This system identifies operator situation awareness by computer-apparatus and method that utilizes neurogenic-psychophysiological-neurocognitive-artificial intelligence processes.* This system is configured to receive psychophysiological data from the operator via the neurogenic sensor(s) and configured to be loaded with data corresponding to the operator's baseline SA capacity and/or possesses AI algorithms to learn and calibrate the operator's baseline SA capacity and sound a warning in response if an SA deficiency threshold has been exceeded. Optionally, an autopilot/auto-driver/auto-operator/auto-worker/student alert/player & coach alert interface is configured to activate an autopilot/auto-driver/auto-operator/auto-worker command in response an SA deficiency threshold has been exceeded.
...
[0016] The data acquisition module may include an electroencephalogram (EEG) apparatus onboard or coupled thereto, EEG processing of theta and alpha brainwaves in-operation as a neurogenic measure, which can additionally be used as augmentation to evaluate a pilot/driver/operator/student/team member/player/worker's cognitive state. Utilizing topographic EEG data indicates changes in the recorded patterns of alpha activity that are consistent with the mental demands of the various segments of the tasks being performed. Spontaneous EEG is conventionally classified into five clinical frequency bands, derived via Fourier transform of time-series EEG data: delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), beta (12-31 Hz), and gamma (31-43 Hz). To determine a pilot/driver/operator/worker's cognitive state for use in this application of workload assessment and adaptive automation, the spontaneous EEG will be used, specifically theta and alpha for events from which event related activity is obtained and additionally this includes but not limited to, atrial or ventricular frequency and atrial or ventricular frequency variability and skin conductance) from the operator via the neurogenic sensor(s) ear worn, finger worn, in the seat, in control stick, in yoke, in steering wheel, in a watch, and or by camera; an operator variable module in electrical communication with the processor, wherein the operator variable module is loaded with data corresponding to the operator's baseline SA capacity and utilizes artificial intelligence and machine learning neural networks that can learn and calibrate to the operator's baseline SA capacity to ultimately determine which, if any, of the configured first or second thresholds should be deemed as exceeded during flight/drive/operation, the following: pilot/driver/operator/worker/driver/operator/student/player worker-specific relationships may be used during intermediate steps (AI Algorithms):


The string of compounded portmanteau words (psychobabble) unnecessarily obfuscates the meaning and looks like an attempt to exaggerate the technical import. Basically he is talking about conventional sensors.

Steve's background is in the USAF, and he is understandably keen to improve the safety and efficiency of pilots. It may be that he has some insight into the interpretation of the biofeedback signals, but I don't see anything which makes him an expert on NN circuitry. Certainly analog is a much closer analog to wetware synapses and neurons, but the manufacturing variability remains an obstacle to precision implementation.

From his linkedin:

https://www.linkedin.com/in/dr-steve-harbour-phd-74778616/

Massachusetts Institute of TechnologyMassachusetts Institute of Technology
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  Blended MethodologyActivities and societies: 1. Leadership and Innovation: 2. Management of Technology: 3. Management of Technology: technology portfolio based on multiple technology roadmaps. This course will help you understand the history, different tools and methods, and fundamental limits for technological evolution over time. 4. Machine Learning: 5. Applied Generative AI for Digital Transformation: 6. Impact Project: 2 one-week Sessions at MIT Presentations on the MIT Campus. Blended Methodology…see more
• • The MIT Professional Education Chief Technology Officer (CTO) Program. MIT Professional Education, housed within MIT’s prestigious School of Engineering, brings together world-class faculty, industry experts, and senior executives from across the globe to explore the future of technology leadership.
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    The Program offers new and immersive learning for current managers and high-potential leaders with measurable expertise who aim to become successful C-suite executives. This program arises in response to the growing need for organizations to have more specialized leaders.The MIT Professional Education Chief Technology Officer (CTO) Program. MIT Professional Education, housed within MIT’s prestigious School of Engineering, brings together world-class faculty, industry experts, and senior executives from across the globe to explore the future of technology leadership. Over the next year, I will be immersed in cutting-edge insights on innovation, digital transformation, and strategic leadership, exchanging ideas with some of the brightest minds in the field. I look forward to this transformative learning journey and the opportunity to apply MIT’s renowned expertise to real-world challenges in AI, neuromorphic computing, and defense technology. Learning journey The Program offers new and immersive learning for current managers and high-potential leaders with measurable expertise who aim to become successful C-suite executives. This program arises in response to the growing need for organizations to have more specialized leaders.
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