BRN Discussion Ongoing
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You are not just make a daily healthy running for your body… additional you make an amazing marathon research for us! Thanks ! Keep running unknown lady !!
MDhere
Top 20
Bravo is unknown to many but those that know her hope she can do another Forrest Gump soon
TheDrooben
Pretty Pretty Pretty Pretty Good
Akida mentioned around the 6:50 mark...........
Pom down under
Top 20
You know I don’t watch any of theseso what they say
Gidday Believers..well, the next 90 days are going to be telling..quoting Sean, " this year, 2024 is going to be a critical year for our company."
" I know the dates that the company/ies are making their decision/s as to whom they will sign with."
" I hope to get a couple over the line later this year."
Antonio " Quite frankly, we've (the board) being giving Sean shit, that comment will probably end up in the papers."
AND FINALLY....
A big congratulations to my AFL team...what a year, well played guys, the entire playing group contributed yesterday, Chris Fagan what a humble, genuine human who can show real emotion towards his players..Brisbane Lions
Akida Tech
" I know the dates that the company/ies are making their decision/s as to whom they will sign with."
" I hope to get a couple over the line later this year."
Antonio " Quite frankly, we've (the board) being giving Sean shit, that comment will probably end up in the papers."
AND FINALLY....
A big congratulations to my AFL team...what a year, well played guys, the entire playing group contributed yesterday, Chris Fagan what a humble, genuine human who can show real emotion towards his players..Brisbane Lions
Akida TechSpace Cadet
Regular
Go the LionsGidday Believers..well, the next 90 days are going to be telling..quoting Sean, " this year, 2024 is going to be a critical year for our company."
" I know the dates that the company/ies are making their decision/s as to whom they will sign with."
" I hope to get a couple over the line later this year."
Antonio " Quite frankly, we've (the board) being giving Sean shit, that comment will probably end up in the papers."
AND FINALLY....
A big congratulations to my AFL team...what a year, well played guys, the entire playing group contributed yesterday, Chris Fagan what a humble, genuine human who can show real emotion towards his players..Brisbane Lions
SC
Dr E Brown
Regular
Does anybody think the Pico reference maybe this?
www.linkedin.com
No-latency Text-to-Speech
Why another Text-to-Speech engine? Orca is not just another engine. Unlike cloud APIs, Orca Text-to-Speech runs on-device, eliminating network latency and offering guaranteed response time.
Humble Genius
Regular
I'm not sure if this has been posted already, but is it Sean that is in the photo below, with Mikhail Asavkin?
www.linkedin.com
Looking for a launchpad to build connections and get inspired in space? 𝗕𝗦𝗫 𝗶𝘁. It was a great privilege to be part of the official Australian delegation led by the Australian Trade and… | Chelsea Yu
Looking for a launchpad to build connections and get inspired in space? 𝗕𝗦𝗫 𝗶𝘁. It was a great privilege to be part of the official Australian delegation led by the Australian Trade and Investment Commission (Austrade) Australian Space Agency with support from Investment NSW, Space Industry...
Terroni2105
Founding Member
I don’t think soI'm not sure if this has been posted already, but is it Sean that is in the photo below, with Mikhail Asavkin?
Looking for a launchpad to build connections and get inspired in space? 𝗕𝗦𝗫 𝗶𝘁. It was a great privilege to be part of the official Australian delegation led by the Australian Trade and… | Chelsea Yu
Looking for a launchpad to build connections and get inspired in space? 𝗕𝗦𝗫 𝗶𝘁. It was a great privilege to be part of the official Australian delegation led by the Australian Trade and Investment Commission (Austrade) Australian Space Agency with support from Investment NSW, Space Industry...
View attachment 70040
Space Cadet
Regular
Thought it may be the one on the far rightI'm not sure if this has been posted already, but is it Sean that is in the photo below, with Mikhail Asavkin?
Looking for a launchpad to build connections and get inspired in space? 𝗕𝗦𝗫 𝗶𝘁. It was a great privilege to be part of the official Australian delegation led by the Australian Trade and… | Chelsea Yu
Looking for a launchpad to build connections and get inspired in space? 𝗕𝗦𝗫 𝗶𝘁. It was a great privilege to be part of the official Australian delegation led by the Australian Trade and Investment Commission (Austrade) Australian Space Agency with support from Investment NSW, Space Industry...
View attachment 70040
SC
CHIPS
Regular
I don't think so because his haircut is different. It is all the same length.
Space Cadet
Regular
overpup
Regular
looks like he's had a perm...
Have this almost 2-month-old article been posted before?
Likely, but here it is again.
AI has the power to change every electronic platform, but what works in the data center may not work in an industrial edge platform like a security camera, robotic arm, or even a vehicle. There is no one-size-fits-all for edge AI because of space, power, data security, and performance-latency requirements, which means there is not one solution for all AI applications. Transitioning to edge AI requires new solutions, especially for on-device training.
Most AI models start in the data center with the training of a neural network model based on public and/or private data. As we have argued in the past, the expense of running AI in the cloud can be prohibitive from a cost, latency, and security standpoint. As a result, neural network models can be optimized by shrinking the model size to then run at the edge of the network on the device, commonly referred to as “edge computing.” This optimization is a delicate balance of reducing the size of the model while maintaining acceptable accuracy.
ForbesGenerative AI Breaks The Data Center: Data Center Infrastructure And Operating Costs Projected To Increase To Over $76 Billion By 2028By Jim McGregor
While neural network models and optimization techniques improve, using a scaled-down data center solution may not be optimal for many edge applications. Edge applications are often focused on the input of sensor data and require even smaller models with a high degree of accuracy and real-time, or close to real-time, execution for mission critical or even life-threatening situations. These edge applications may include healthcare, automotive/transportation, manufacturing, and security.
As an alternative, BrainChip has developed its Akida neuromorphic IP (intellectual property) solutions to support Temporal Event-based Neural Networks (TENNs), an event-based neural processing network architecture, in addition to traditional Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNNs) and Transformer based neural networks. What this means is that a temporal (time) enabled neural network (TENN), or networks, is only operating during the time when a trigger event or input occurs. During other times, it is not computing and therefore not consuming much power. This can translate to higher performance, adaptability and lower real-time latency per event, input, or request and at a fraction of the power consumption of other AI solutions.
According to BrainChip, TENNs are ideal for processing various types of data such as one-dimensional time series and spatial-temporal data. TENNs is showing positive results in a number common applications, such as audio denoising, eye-tracking for AR/VR, health data monitoring (heart rate, SpO2), keyword spotting, Small Language Models (SLMs), and video object detection. TENNs ability to adapt to new input/events overcome some of the limitations of traditional neural networks while supporting future neural network models at a fraction of the die area and operating cost.
www.forbes.com
Likely, but here it is again.
Real-Time AI At The Edge May Require A New Network Solution
AI has the power to change every electronic platform, but what works in the data center may not work in an industrial edge platform like a security camera, robotic arm, or even a vehicle. There is no one-size-fits-all for edge AI because of space, power, data security, and performance-latency requirements, which means there is not one solution for all AI applications. Transitioning to edge AI requires new solutions, especially for on-device training.
The Current AI Model
Most AI models start in the data center with the training of a neural network model based on public and/or private data. As we have argued in the past, the expense of running AI in the cloud can be prohibitive from a cost, latency, and security standpoint. As a result, neural network models can be optimized by shrinking the model size to then run at the edge of the network on the device, commonly referred to as “edge computing.” This optimization is a delicate balance of reducing the size of the model while maintaining acceptable accuracy.
ForbesGenerative AI Breaks The Data Center: Data Center Infrastructure And Operating Costs Projected To Increase To Over $76 Billion By 2028By Jim McGregor
While neural network models and optimization techniques improve, using a scaled-down data center solution may not be optimal for many edge applications. Edge applications are often focused on the input of sensor data and require even smaller models with a high degree of accuracy and real-time, or close to real-time, execution for mission critical or even life-threatening situations. These edge applications may include healthcare, automotive/transportation, manufacturing, and security.
Event-driven AI
As an alternative, BrainChip has developed its Akida neuromorphic IP (intellectual property) solutions to support Temporal Event-based Neural Networks (TENNs), an event-based neural processing network architecture, in addition to traditional Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNNs) and Transformer based neural networks. What this means is that a temporal (time) enabled neural network (TENN), or networks, is only operating during the time when a trigger event or input occurs. During other times, it is not computing and therefore not consuming much power. This can translate to higher performance, adaptability and lower real-time latency per event, input, or request and at a fraction of the power consumption of other AI solutions.
According to BrainChip, TENNs are ideal for processing various types of data such as one-dimensional time series and spatial-temporal data. TENNs is showing positive results in a number common applications, such as audio denoising, eye-tracking for AR/VR, health data monitoring (heart rate, SpO2), keyword spotting, Small Language Models (SLMs), and video object detection. TENNs ability to adapt to new input/events overcome some of the limitations of traditional neural networks while supporting future neural network models at a fraction of the die area and operating cost.
Real-Time AI At The Edge May Require A New Network Solution
using TENNs for object detection can provide a 5x to 30x reduction in operations using 1/50th the number of parameters with equal or better accuracy than traditional CNNs
www.forbes.com
He really needs to get rid of that mop....
Real-Time AI At The Edge May Require A New Network Solution
using TENNs for object detection can provide a 5x to 30x reduction in operations using 1/50th the number of parameters with equal or better accuracy than traditional CNNs
www.forbes.com
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Would love to get an update on the statement made by Sean regarding 2024. Not overly confident, other statement's in the past have taken alot longer than expected. Sean at some stage will come under pressure unless he delivers a healthy boost to the sp through deals and or revenue. On the back of some of Sean's comments and rhetoric I was looking at sp being $1 by now and $2 by year end. I have decided to give Sean until May 2025, if no change by then I will cut my holdings by about 50% and look elsewhere until something does change.Gidday Believers..well, the next 90 days are going to be telling..quoting Sean, " this year, 2024 is going to be a critical year for our company."
" I know the dates that the company/ies are making their decision/s as to whom they will sign with."
" I hope to get a couple over the line later this year."
Antonio " Quite frankly, we've (the board) being giving Sean shit, that comment will probably end up in the papers."
AND FINALLY....
A big congratulations to my AFL team...what a year, well played guys, the entire playing group contributed yesterday, Chris Fagan what a humble, genuine human who can show real emotion towards his players..Brisbane Lions
I believe in Sean and the company but it's taking to long and I am working way harder than my money.
FiveBucks
Regular
If no change (contracts) by May 2025, I dare say your investment will be worth a lot less than it is now. A lot of people expecting engagements by the end of the year.
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