Bravo
If ARM was an arm, BRN would be its biceps💪!
I defy anyone to spot even the smallest crease on that tablecloth. It’s smoother than cream cheese on a bagel!
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
I defy anyone to spot even the smallest crease on that tablecloth. It’s smoother than cream cheese on a bagel!
BaconLover
Founding Member
D
Deleted member 118
Guest
D
Deleted member 118
Guest
That must be worth at least 10 cent fall in our SP today lol
Bravo
If ARM was an arm, BRN would be its biceps💪!
I’m not sure if that qualifies as a fully fledged crease Bacon. After analysing it for the last 10 minutes, I’d describe it more as a ruck caused by that box thing on the edge of the table. But in case I’m wrong, you better call Rob Telson and get him to fire up the iron quick-smart!
uiux
Regular
BaconLover
Founding Member
Used to it. I am just numb atm nothing can affect me lol
Emailing Rob to remove all the things from the table, so the cloth remains beautiful without creases. I am all for tablecloth rights.
Post from LinkedIn Markus Schäfer
Sorry it has posted before, this Vision EQXX
www.linkedin.com
Sorry it has posted before, this Vision EQXX
Markus Schäfer on LinkedIn: VISION EQXX - Drag coefficient comparison | 12 comments
Over the past few weeks, I already gave you a lot of information and insights about our #efficiency masterpiece, the #VISIONEQXX – and to be honest, I could go… | 12 comments on LinkedIn
Quatrojos
Regular
It's not level...
Fact Finder
Top 20
I hope it is not about to collapse under the weight of retail shareholder expectations. 
FF
FF
thelittleshort
Top Bloke
TechGirl
Founding Member
Rob Telson Likes this........I seem to remember Brainchip comparing our ability with VOC's to sense smells like a dogs nose
https://www.linkedin.com/posts/jens...=linkedin_share&utm_medium=member_desktop_web
Link to article
www.bosch-sensortec.com
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0 x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The gas sensor can detect Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs) and other gases such as carbon monoxide and hydrogen in the part per billion (ppb) range.
Additionally to all features of the BME680, the BME688 has a gas scanner function. In standard configuration, the presence of VSCs is being detected as indicator for e.g. bacteria growth. And the gas scanner can be customized with respect to sensitivity, selectivity, data rate and power consumption as well. The BME AI-Studio tool enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.
Relative humidity barometric pressure
Excellent temperature stability
Humidity
Gas sensing
RoHS compliant, halogen-free, MSL1
https://www.linkedin.com/posts/jens...=linkedin_share&utm_medium=member_desktop_web
Link to article
Gas sensor BME688
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. Read more here
www.bosch-sensortec.com
BME688
Environmental sensing with Artificial IntelligenceThe BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0 x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The gas sensor can detect Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs) and other gases such as carbon monoxide and hydrogen in the part per billion (ppb) range.
Additionally to all features of the BME680, the BME688 has a gas scanner function. In standard configuration, the presence of VSCs is being detected as indicator for e.g. bacteria growth. And the gas scanner can be customized with respect to sensitivity, selectivity, data rate and power consumption as well. The BME AI-Studio tool enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.
Relative humidity barometric pressure
Excellent temperature stability
Humidity
Gas sensing
Technical data
| Parameter | Technical data |
|---|---|
| Package dimensions | 8-Pin LGA with metal 3.0 x 3.0 x 0.93 mm³ |
| Operation range (full accuracy) | Pressure: 300...1100 hPa Humidity 0…100% Temperature: -40…85°C |
| Supply voltage VDDIO Supply voltage VDD | 1.2 ... 3.6 V 1.71 ... 3.6 V |
| Interface | I²C and SPI |
| Average current consumption | 2.1 µA at 1 Hz humidity and temperature 3.1 µA at 1 Hz pressure and temperature 3.7 µA at 1 Hz humidity, pressure and temperature 90 µA at ULP mode for p/h/T & air quality 0.9 mA at LP mode for p/h/T & air quality 3.9 mA in standard gas scan mode (gas scan mode & scan rate can be optimized on applications with BME AI studio) |
| Gas sensor F1 score for H₂S scanning Standard scan speed Electric charge for standard scan Response time (τ 33-63%) Sensor-to-sensor deviation Power consumption Output data processing | 0.92 10.8 s / scan 0.18 mAh (5 scans ~ 1 min) < 1 s (for new sensors) +/- 15% +/- 15 < 0.1 mA in ultra-low power mode Major direct outputs: Index for Air Quality (IAQ), bVOC-& CO₂-equivalents (ppm), Gas scan result (%) & many more (all listed in datasheet in Table 20: BSEC outputs) |
| Humidity sensor Response time (τ0-63%) Accuracy tolerance Hysteresis | 8 s ± 3 % relative humidity ≤ 1.5 % relative humidity |
| Pressure sensor RMS Noise Sensitivity Error Temperature coefficient offset | 0.12 Pa (equiv. to 1.7 cm) ± 0.25 % (equiv. to 1 m at 400 m height change) ±1.3 Pa/K (equiv. to ±10.9 cm at 1°C temperature change) |
Fact Finder
Top 20
The idea of EDGE is clearly mainstream and not going away. Nvidia are really pumping Edge but when you read the following it is connected Edge which has them way back behind the safety fence at Echo Point while AKIDA is on the other side peering down into the valley below watching the waterfall:
resources.nvidia.com
The statement that companies are beating a path to the door at Brainchip makes perfect sense with the World talking Edge and AKIDA technology actually able to deliver.
Time and tide wait for no man and like everyone here I am getting older every day that passes and feel the weight of time on my shoulders. However not everyone has this problem.
I was reading that Elon Musk and others are railing against the President’s second attempt to have households with over 100 million US dollars pay tax at the rate of 20% instead of less than 8% as it currently stands.
You are probably asking yourself where the heck is FF going with this. Well it is pretty simple. It seems reasonable that if an ordinary couple in the US are paying 16% or more tax that those with 100 million pay at least this amount however those with wealth and power do not agree.
They have a sense of entitlement that allows them to justify not paying tax and manipulating the political system to achieve this outcome.
If their values and sense of entitlement allow them to publicly campaign and lobby for this level of inequity is it any wonder that the manipulation we see every day on the stock market perpetuates.
Do not be the retail investor without a plan who is the play thing of those who without any connection to the real world (where we all live) are able to manipulate politicians, regulators, the media and as a result the market via the privately listed ASX.
Brainchip has done and is doing everything right down to ironing its tablecloths. The 1,000 Eyes has exposed a multitude of possible opportunities across a range of industries and the more technically savvy amongst this group have shown us all what a $40 camera, a PC and MetaTF can do what no other technology can duplicate in all the world.
Do not allow the current price manipulation to sway you from you plan.
My opinion only DYOR
FF
AKIDA BALLISTA
Top Considerations for Deploying AI at the Edge
From enabling smarter businesses to smarter cities, edge computing is creating more opportunities to deliver immersive, real-time experiences. Find out what your business needs to consider to successfully deploy AI at the edge.
resources.nvidia.com
The statement that companies are beating a path to the door at Brainchip makes perfect sense with the World talking Edge and AKIDA technology actually able to deliver.
Time and tide wait for no man and like everyone here I am getting older every day that passes and feel the weight of time on my shoulders. However not everyone has this problem.
I was reading that Elon Musk and others are railing against the President’s second attempt to have households with over 100 million US dollars pay tax at the rate of 20% instead of less than 8% as it currently stands.
You are probably asking yourself where the heck is FF going with this. Well it is pretty simple. It seems reasonable that if an ordinary couple in the US are paying 16% or more tax that those with 100 million pay at least this amount however those with wealth and power do not agree.
They have a sense of entitlement that allows them to justify not paying tax and manipulating the political system to achieve this outcome.
If their values and sense of entitlement allow them to publicly campaign and lobby for this level of inequity is it any wonder that the manipulation we see every day on the stock market perpetuates.
Do not be the retail investor without a plan who is the play thing of those who without any connection to the real world (where we all live) are able to manipulate politicians, regulators, the media and as a result the market via the privately listed ASX.
Brainchip has done and is doing everything right down to ironing its tablecloths. The 1,000 Eyes has exposed a multitude of possible opportunities across a range of industries and the more technically savvy amongst this group have shown us all what a $40 camera, a PC and MetaTF can do what no other technology can duplicate in all the world.
Do not allow the current price manipulation to sway you from you plan.
My opinion only DYOR
FF
AKIDA BALLISTA
Fox151
Regular
I don't like the colour. Can we have a red one?
Dhm
Regular
Hi @TechGirl I'm sometimes a bit slow. Do you and others think this is our chip running the Bosch Sensortech?Rob Telson Likes this........I seem to remember Brainchip comparing our ability with VOC's to sense smells like a dogs nose
View attachment 3453
https://www.linkedin.com/posts/jens...=linkedin_share&utm_medium=member_desktop_web
Link to article
Gas sensor BME688
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. Read more here
BME688
Environmental sensing with Artificial Intelligence
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0 x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The gas sensor can detect Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs) and other gases such as carbon monoxide and hydrogen in the part per billion (ppb) range.
Additionally to all features of the BME680, the BME688 has a gas scanner function. In standard configuration, the presence of VSCs is being detected as indicator for e.g. bacteria growth. And the gas scanner can be customized with respect to sensitivity, selectivity, data rate and power consumption as well. The BME AI-Studio tool enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.
Relative humidity barometric pressure
Excellent temperature stability
Humidity
Gas sensing
Technical data
RoHS compliant, halogen-free, MSL1
Parameter Technical data Package dimensions 8-Pin LGA with metal
3.0 x 3.0 x 0.93 mm³Operation range (full accuracy) Pressure: 300...1100 hPa
Humidity 0…100%
Temperature: -40…85°CSupply voltage VDDIO
Supply voltage VDD1.2 ... 3.6 V
1.71 ... 3.6 VInterface I²C and SPI Average current consumption 2.1 µA at 1 Hz humidity and temperature
3.1 µA at 1 Hz pressure and temperature
3.7 µA at 1 Hz humidity, pressure and temperature
90 µA at ULP mode for p/h/T & air quality
0.9 mA at LP mode for p/h/T & air quality
3.9 mA in standard gas scan mode
(gas scan mode & scan rate can be optimized on applications with BME AI studio)Gas sensor
F1 score for H₂S scanning
Standard scan speed
Electric charge for standard scan
Response time (τ 33-63%)
Sensor-to-sensor deviation
Power consumption
Output data processing
0.92
10.8 s / scan
0.18 mAh (5 scans ~ 1 min)
< 1 s (for new sensors)
+/- 15% +/- 15
< 0.1 mA in ultra-low power mode
Major direct outputs: Index for Air Quality (IAQ), bVOC-& CO₂-equivalents (ppm), Gas scan result (%) & many more (all listed in datasheet in Table 20: BSEC outputs)Humidity sensor
Response time (τ0-63%)
Accuracy tolerance
Hysteresis
8 s
± 3 % relative humidity
≤ 1.5 % relative humidityPressure sensor
RMS Noise
Sensitivity Error
Temperature coefficient offset
0.12 Pa (equiv. to 1.7 cm)
± 0.25 % (equiv. to 1 m at 400 m height change)
±1.3 Pa/K (equiv. to ±10.9 cm at 1°C temperature change)
Fact Finder
Top 20
Any one else immediately upon reading your post remember Anil Mankar’s 2021 Ai Field Day presentation where he mentioned that a couple of nodes of AKIDA IP could do “pressure, temperature, low cost things” on a very small device and give all the functionality of AKIDA where latency was not a primary issue. Sounds perfect for this Bosch device.Rob Telson Likes this........I seem to remember Brainchip comparing our ability with VOC's to sense smells like a dogs nose
View attachment 3453
https://www.linkedin.com/posts/jens...=linkedin_share&utm_medium=member_desktop_web
Link to article
Gas sensor BME688
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. Read more here
BME688
Environmental sensing with Artificial Intelligence
The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0 x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The gas sensor can detect Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs) and other gases such as carbon monoxide and hydrogen in the part per billion (ppb) range.
Additionally to all features of the BME680, the BME688 has a gas scanner function. In standard configuration, the presence of VSCs is being detected as indicator for e.g. bacteria growth. And the gas scanner can be customized with respect to sensitivity, selectivity, data rate and power consumption as well. The BME AI-Studio tool enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.
Relative humidity barometric pressure
Excellent temperature stability
Humidity
Gas sensing
Technical data
RoHS compliant, halogen-free, MSL1
Parameter Technical data Package dimensions 8-Pin LGA with metal
3.0 x 3.0 x 0.93 mm³Operation range (full accuracy) Pressure: 300...1100 hPa
Humidity 0…100%
Temperature: -40…85°CSupply voltage VDDIO
Supply voltage VDD1.2 ... 3.6 V
1.71 ... 3.6 VInterface I²C and SPI Average current consumption 2.1 µA at 1 Hz humidity and temperature
3.1 µA at 1 Hz pressure and temperature
3.7 µA at 1 Hz humidity, pressure and temperature
90 µA at ULP mode for p/h/T & air quality
0.9 mA at LP mode for p/h/T & air quality
3.9 mA in standard gas scan mode
(gas scan mode & scan rate can be optimized on applications with BME AI studio)Gas sensor
F1 score for H₂S scanning
Standard scan speed
Electric charge for standard scan
Response time (τ 33-63%)
Sensor-to-sensor deviation
Power consumption
Output data processing
0.92
10.8 s / scan
0.18 mAh (5 scans ~ 1 min)
< 1 s (for new sensors)
+/- 15% +/- 15
< 0.1 mA in ultra-low power mode
Major direct outputs: Index for Air Quality (IAQ), bVOC-& CO₂-equivalents (ppm), Gas scan result (%) & many more (all listed in datasheet in Table 20: BSEC outputs)Humidity sensor
Response time (τ0-63%)
Accuracy tolerance
Hysteresis
8 s
± 3 % relative humidity
≤ 1.5 % relative humidityPressure sensor
RMS Noise
Sensitivity Error
Temperature coefficient offset
0.12 Pa (equiv. to 1.7 cm)
± 0.25 % (equiv. to 1 m at 400 m height change)
±1.3 Pa/K (equiv. to ±10.9 cm at 1°C temperature change)
My opinion only DYOR
FF
AKIDA BALLISTA
Stable Genius
Regular
Hi Dhm,
Bosch and Mercedes Benz have a well known partnership so it is suspected Bosch would be aware of Brainchip.
group.mercedes-benz.com
The gas sensor is stated to contain AI so I’m hopeful it contains Akida!
They would be a great partner and I’m sure we could help boost their bottom line!
Bosch and Mercedes Benz have a well known partnership so it is suspected Bosch would be aware of Brainchip.
Future mobility: Daimler and Bosch join forces to work on fully automated, driverless system | Mercedes-Benz Group
Bosch and Daimler are joining forces to advance the development of fully automated and driverless driving.
The gas sensor is stated to contain AI so I’m hopeful it contains Akida!
They would be a great partner and I’m sure we could help boost their bottom line!
Stable Genius
Regular
Agreed, I’m waiting on a small sum of money to come through as well so I know it’s selfish but I’d like prices to stay as they are for a bit longer also!I dislike getting paid fortnightly atm because I have to wait till next week before I buy more BRN shares. Don’t go up to quickly please
Peace
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