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wilzy123
Founding Member
Stable Genius
Regular
It was a real call to arms type speech!
The only part I didn’t like was during Q&A when he said the Scala 3 LiDAR wouldn’t be out until 2024.
chapman89
Founding Member
This could be interesting-
Sponsor:
Renesas Electronics
Date: Thursday, October 20, 2022
Time: 11:00 AM EDT / 10:00 AM CDT / 8:00 AM PDT
Sponsor: Renesas
Duration: 1 Hour
Register Today!
Already registered? Please click here to log in!
Summary
In this talk we’ll discuss the AIoT megatrend, born out of the convergence of AI and IoT. As intelligence is shifting from a centralized to a distributed architecture, there is tremendous potential to unlock. We will talk about enabling advanced signal processing and AI capabilities down to the endpoint – including both the advantages and challenges of doing so. We will highlight a broad range of Industrial and IoT applications than can benefit from including AI. We will also review comprehensive foundational solutions including hardware and software to make devices AIoT-ready.
Speaker
Kaushal Vora, Senior Director Business Acceleration & Global Ecosystem, Renesas Electronics
Kaushal Vora is Senior Director for Business Acceleration & Global Ecosystem at Renesas Electronics. With over 15 years of experience in the semiconductor industry, Kaushal has worked in several technology areas including healthcare, telecom infrastructure, and solid-state lighting. At Renesas, he leads a global team responsible for defining and developing IoT solutions for the company’s microcontroller product lines with focus around Artificial Intelligence, Machine Learning, Cybersecurity, Functional Safety, connectivity among other things. Kaushal maintains a strong grasp of several industrial market verticals, as well as an in-depth knowledge of technology trends, key players, system requirements and challenges.
Sponsored by
Advancing Endpoint Intelligence
An October 20th Electronic Design-hosted webinar sponsored by RenesasSponsor:
Renesas Electronics
Date: Thursday, October 20, 2022
Time: 11:00 AM EDT / 10:00 AM CDT / 8:00 AM PDT
Sponsor: Renesas
Duration: 1 Hour
Register Today!
Already registered? Please click here to log in!
Summary
In this talk we’ll discuss the AIoT megatrend, born out of the convergence of AI and IoT. As intelligence is shifting from a centralized to a distributed architecture, there is tremendous potential to unlock. We will talk about enabling advanced signal processing and AI capabilities down to the endpoint – including both the advantages and challenges of doing so. We will highlight a broad range of Industrial and IoT applications than can benefit from including AI. We will also review comprehensive foundational solutions including hardware and software to make devices AIoT-ready.
Speaker
Kaushal Vora, Senior Director Business Acceleration & Global Ecosystem, Renesas Electronics
Kaushal Vora is Senior Director for Business Acceleration & Global Ecosystem at Renesas Electronics. With over 15 years of experience in the semiconductor industry, Kaushal has worked in several technology areas including healthcare, telecom infrastructure, and solid-state lighting. At Renesas, he leads a global team responsible for defining and developing IoT solutions for the company’s microcontroller product lines with focus around Artificial Intelligence, Machine Learning, Cybersecurity, Functional Safety, connectivity among other things. Kaushal maintains a strong grasp of several industrial market verticals, as well as an in-depth knowledge of technology trends, key players, system requirements and challenges.
Sponsored by
GStocks123
Regular
Socionext SOC solutions. Hoping the diagram is referring to our AI engine.
robsmark
Regular
I fail to see why many are pushing this NASDAQ listing when there is so much value left to extract from the ASX. Whilst I understand that traditionally the ASX doesn’t understand tech, it does understand revenue. When that starts to build, our SP will build with it. We are only worth $1.5b, I see at least the potential to $40b here on the ASX - APT basically achieved this on hype during COVID, and it only took about 18 months to hit that MC from being our size in about 18 months.
When we hit revenue that sustainability puts us at a MC of that size (say $40b, with a SP of $24), then we should consider a NASDAQ listing. It costs more (a lot more) to list on it, it has massive liquidity (which means more money for shorting), and all in all its a more suffisticated market - you can thank Wall St. Hight Frequency Trading for that.
Plenty of small companies like Brainchip a have prematurely listed on it and gotten ripped apart by the sharks. I for one don’t want to see it for a few years, assuming the aforementioned have been achieved.
Be careful what you wish for.
buena suerte :-)
BOB Bank of Brainchip
So true ag ... Although it would be great to be listed on the NASDAQ... IMO it is way too soon!! We are currently moving along at a nice even pace and soon to be a gentle jog and then a full blown sprint with MC building very nicely throughout these transitions and our Brand/products/and reputation over the next two years will have been exposed throughout the Ai Tech World ... and then I think that would be the time to list on the NASDAQ as an already fully established and respected Global Tech leading Company ( Maybe a household name by then!! )
My thoughts only
Have a great day Chippers .... A GREEN one of course
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Fact Finder
Top 20
My big picture takeaway is that failure to embrace low carbon footprint energy efficient future proof technology will be fatal in human and industry terms.It was a real call to arms type speech!
The only part I didn’t like was during Q&A when he said the Scala 3 LiDAR wouldn’t be out until 2024.
In this environment the attributes that Brainchip AKIDA technology brings of extreme ultra low power high performance computing is an absolute formula for success.
Companies that ignore what AKIDA offers over every other competitor are literally playing with fire.
My opinion only DYOR
FF
AKIDA BALLISTA
The CEO seems like a very intelligent, articulate and considered individual. It would be nice to be considered as a trusted partner with a sweet spot for Lidar. ( Silly me. What was I thinking.) We are!!
buena suerte :-)
BOB Bank of Brainchip
Totally agree @robsmark ...I have just seen your post and I have posted on the same subject with similar thoughts ... Cheers
Last edited:
Fact Finder
Top 20
Australia is the lucky country, the economic miracle why would we leave the ASX before we have out gown it.
Once we are in top 50 companies will be the time to think about it after approaching Commonwealth Government and asking for a package of special tax incentives and other things to stay and if rejected then they can go and swim with the sharks in the USA.
My opinion only DYOR
FF
AKIDA BALLISTA
I even signed up just to vote
Tuliptrader
Regular
Hi FF,
I totally agree that this is a must watch.
It was refreshing to see a CEO speak with such candor. He was not all scared to speak some hard truths, out loud.
Wouldn't he make for a fine Brainchip podcast interview with RT.
TT
buena suerte :-)
BOB Bank of Brainchip
Absolutely correct FF........ The question about listing on the NASDAQ was put forward at the AGM back in May this year with the answer from
Antonio Viana
"There are no discussions along those lines" but did not rule it out as a future possibility.
Last edited:
Bravo
If ARM was an arm, BRN would be its biceps💪!
Qeexo and Bosch
Qeexo, and Bosch Enable Developers to Quickly Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors
/PRNewswire-PRWeb/ -- Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, today announced that...www.prweb.com
Aside from Bosch, Qeexo are also partnered with Renesas and STMicro.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Was tryiing to drill down a bit more on the "self-learning" capabilities of Bosch's BHI260AP sensor as it states "When engaged, this system can be used to learn a new activity that it has never seen before" and private data is being "processed at the sensor instead of the main controller".
Also, Qeexo's AutoML can be deployed on Bosch's BHI260AP sensor.
Recently, BOSCH announced its latest activity sensor, the BHI260AP, but this sensor is more intelligent than most. What features does the BHI260AP integrate, what can its AI core do, and how does this sensor demonstrate the growing importance of AI?
The first AI was only ever found on powerful computer systems due to the large processing and memory requirements. Still, improvements in technology now see AI systems readily working on desktop PCs, smartphones, and even IoT devices. However, if the functions of AI can be shifted away from processors and onto dedicated hardware, then the main processor can free up its resources, thereby improving the device's capabilities in question.
This need for a “co-processor” is now seeing the development of neural network accelerators that utilise technology similar to that found on GPUs. Such hardware not only removes the AI functions away from the main processor, but are specifically designed to execute neural networks, and thus can do so more efficiently.
For example, the BHI260AP can be used for pedestrian dead reckoning whereby the low-powered sensor can determine where a user has walked in-between GPS cycling. Since GPS is a power-intensive operation, the use of power cycling reduces overall power consumption. The BHI260AP can also be programmed to perform relative and absolute orientation using the internal IMU, which can be useful for positioning devices.
The BHI260AP also integrates a range of pre-programmed activities which it can recognise, including jogging, jumping, and swimming. When used on a wristband, the BHI260AP can determine the number of steps, length of a stroke, or the wearer's swimming style.
The build-in AI mechanism can detect how an activity works if that activity involves a repetitive cyclic motion. This clearly demonstrates how sensors themselves are now becoming small data processors in their own right. Furthermore, this also demonstrates how potentially private data (position, acceleration etc.) is being processed at the sensor instead of the main controller. While the hose CPU can obtain raw sensor data, it is worth noting that future generations of sensors may hide this information, and provide a sanitised value instead.
"The self-learning AI sensor will change how users interact with their fitness devices from a mere one-way approach to an interactive way of training. This new sensor combines Bosch Sensortec’s long-term experience in smart motion sensors with its strong competence in innovative software development."
www.prweb.com
Also, Qeexo's AutoML can be deployed on Bosch's BHI260AP sensor.
BOSCH BHI260AP Self-Learning AI Sensor
06-01-2021 | By Robin Mitchell
Recently, BOSCH announced its latest activity sensor, the BHI260AP, but this sensor is more intelligent than most. What features does the BHI260AP integrate, what can its AI core do, and how does this sensor demonstrate the growing importance of AI?
How AI is Evolving
Artificial Intelligence, or AI, has come leap and bounds from the initial development of neural nets to software services that can learn as they operate. Unlike traditional software programs, AI has the advantage that they can recognise patterns more easily than a combination of IF statements and can be retrained to improve their performance over time.The first AI was only ever found on powerful computer systems due to the large processing and memory requirements. Still, improvements in technology now see AI systems readily working on desktop PCs, smartphones, and even IoT devices. However, if the functions of AI can be shifted away from processors and onto dedicated hardware, then the main processor can free up its resources, thereby improving the device's capabilities in question.
This need for a “co-processor” is now seeing the development of neural network accelerators that utilise technology similar to that found on GPUs. Such hardware not only removes the AI functions away from the main processor, but are specifically designed to execute neural networks, and thus can do so more efficiently.
BOSCH Releases the BHI260AP
Recently, BOSCH announced the release of their latest activity sensor, the BHI260AP, that integrates many features needed for activities (i.e. sports), including a 3-axis accelerometer, 3-axis gyroscope, 32-bit ARM EM4 programmable microcontroller, and a 4-channel micro DMA controller. The BHI260AP integrates a range of software features that can be useful for offloading tasks from the main controller.For example, the BHI260AP can be used for pedestrian dead reckoning whereby the low-powered sensor can determine where a user has walked in-between GPS cycling. Since GPS is a power-intensive operation, the use of power cycling reduces overall power consumption. The BHI260AP can also be programmed to perform relative and absolute orientation using the internal IMU, which can be useful for positioning devices.
The BHI260AP also integrates a range of pre-programmed activities which it can recognise, including jogging, jumping, and swimming. When used on a wristband, the BHI260AP can determine the number of steps, length of a stroke, or the wearer's swimming style.
BHI260AP AI Learning
However, by far the most impressive feature of the BHI260AP is its built-in AI self-learning mechanism. When engaged, this system can be used to learn a new activity that it has never seen before. A demonstration by BOSCH shows a user engaging the learning feature via a smartphone app and performs a few exercises (skiing in this case). Then the sensor can determine the number of strokes during skiing.
The build-in AI mechanism can detect how an activity works if that activity involves a repetitive cyclic motion. This clearly demonstrates how sensors themselves are now becoming small data processors in their own right. Furthermore, this also demonstrates how potentially private data (position, acceleration etc.) is being processed at the sensor instead of the main controller. While the hose CPU can obtain raw sensor data, it is worth noting that future generations of sensors may hide this information, and provide a sanitised value instead.
"The self-learning AI sensor will change how users interact with their fitness devices from a mere one-way approach to an interactive way of training. This new sensor combines Bosch Sensortec’s long-term experience in smart motion sensors with its strong competence in innovative software development."
- Dr. Stefan Finkbeiner, CEO at Bosch Sensortec
Qeexo, and Bosch Enable Developers to Quickly Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors
/PRNewswire-PRWeb/ -- Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, today announced that...
Bravo
If ARM was an arm, BRN would be its biceps💪!
Well, this is an interesting development - Mercedes has teamed up with APPLE to launch its Spacial Audio which is integrated directly into the MBUX infotainment system!!
Dont forget the Hey Mercedes voice assistant is a part of the MBUX infotainment system. And we know from the EQXX that the AI software and hardware from BrainChip is five to 10 times more efficient than conventional voice control systems. So presumably the Mercedes driver's of the future will need AKIDA to help them turn on their Apple sound technology.
www.carexpert.com.au
Dont forget the Hey Mercedes voice assistant is a part of the MBUX infotainment system. And we know from the EQXX that the AI software and hardware from BrainChip is five to 10 times more efficient than conventional voice control systems. So presumably the Mercedes driver's of the future will need AKIDA to help them turn on their Apple sound technology.
Apple launches Spatial Audio in Mercedes-Benz cars
Mercedes-Benz has partnered with Apple to introduce its Spatial Audio surround sound technology for the first time in a car natively.
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TheDrooben
Pretty Pretty Pretty Pretty Good
Nice action today some good line wipes......now for some more volume
Fact Finder
Top 20
The issue that should always be to the forefront when considering whether the Ai Bosch speaks about is AKIDA is that Bosch has its own Artificial Intelligence neuromorphic computing research facility and has been working on this for a number of years and it had a very large budget and a significant workforce.Was tryiing to drill down a bit more on the "self-learning" capabilities of Bosch's BHI260AP sensor as it states "When engaged, this system can be used to learn a new activity that it has never seen before" and private data is being "processed at the sensor instead of the main controller".
Also, Qeexo's AutoML can be deployed on Bosch's BHI260AP sensor.
BOSCH BHI260AP Self-Learning AI Sensor
06-01-2021 | By Robin Mitchell
Recently, BOSCH announced its latest activity sensor, the BHI260AP, but this sensor is more intelligent than most. What features does the BHI260AP integrate, what can its AI core do, and how does this sensor demonstrate the growing importance of AI?
How AI is Evolving
Artificial Intelligence, or AI, has come leap and bounds from the initial development of neural nets to software services that can learn as they operate. Unlike traditional software programs, AI has the advantage that they can recognise patterns more easily than a combination of IF statements and can be retrained to improve their performance over time.
The first AI was only ever found on powerful computer systems due to the large processing and memory requirements. Still, improvements in technology now see AI systems readily working on desktop PCs, smartphones, and even IoT devices. However, if the functions of AI can be shifted away from processors and onto dedicated hardware, then the main processor can free up its resources, thereby improving the device's capabilities in question.
This need for a “co-processor” is now seeing the development of neural network accelerators that utilise technology similar to that found on GPUs. Such hardware not only removes the AI functions away from the main processor, but are specifically designed to execute neural networks, and thus can do so more efficiently.
BOSCH Releases the BHI260AP
Recently, BOSCH announced the release of their latest activity sensor, the BHI260AP, that integrates many features needed for activities (i.e. sports), including a 3-axis accelerometer, 3-axis gyroscope, 32-bit ARM EM4 programmable microcontroller, and a 4-channel micro DMA controller. The BHI260AP integrates a range of software features that can be useful for offloading tasks from the main controller.
For example, the BHI260AP can be used for pedestrian dead reckoning whereby the low-powered sensor can determine where a user has walked in-between GPS cycling. Since GPS is a power-intensive operation, the use of power cycling reduces overall power consumption. The BHI260AP can also be programmed to perform relative and absolute orientation using the internal IMU, which can be useful for positioning devices.
The BHI260AP also integrates a range of pre-programmed activities which it can recognise, including jogging, jumping, and swimming. When used on a wristband, the BHI260AP can determine the number of steps, length of a stroke, or the wearer's swimming style.
BHI260AP AI Learning
However, by far the most impressive feature of the BHI260AP is its built-in AI self-learning mechanism. When engaged, this system can be used to learn a new activity that it has never seen before. A demonstration by BOSCH shows a user engaging the learning feature via a smartphone app and performs a few exercises (skiing in this case). Then the sensor can determine the number of strokes during skiing.
The build-in AI mechanism can detect how an activity works if that activity involves a repetitive cyclic motion. This clearly demonstrates how sensors themselves are now becoming small data processors in their own right. Furthermore, this also demonstrates how potentially private data (position, acceleration etc.) is being processed at the sensor instead of the main controller. While the hose CPU can obtain raw sensor data, it is worth noting that future generations of sensors may hide this information, and provide a sanitised value instead.
"The self-learning AI sensor will change how users interact with their fitness devices from a mere one-way approach to an interactive way of training. This new sensor combines Bosch Sensortec’s long-term experience in smart motion sensors with its strong competence in innovative software development."
https://www.electropages.com/blog/2021/01/bosch-bhi260ap-self-learning-ai-sensor
- Dr. Stefan Finkbeiner, CEO at Bosch Sensortec
Qeexo, and Bosch Enable Developers to Quickly Build and Deploy Machine-Learning Algorithms to Bosch AI-Enabled Sensors
/PRNewswire-PRWeb/ -- Qeexo, developer of the Qeexo AutoML, and Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, today announced that...
I am not saying it cannot be AKIDA working with Bosch as AKIDA is the one and only but care needs to be taken.
My opinion only DYOR
FF
AKIDA BALLISTA
gex
Regular
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