D
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
JK200SX
Regular
Attachments
Makeme 2020
Regular
$1.21 WIPED LADIES AND GENTLEMEN GO YOU GOOD THING .........BRN
Makeme 2020
Regular
Run Forest Run.................
equanimous
Norse clairvoyant shapeshifter goddess
By
Newsmantraa
Published
August 3, 2022
According to a new report published by Global Market Vision, titled, “Neuromorphic Computing Market”, the global neuromorphic computing market size was valued at $26.32 million in 2020, and is projected to reach $8,582.85 million by 2030, registering a CAGR of 78.6%.
Read more: https://www.digitaljournal.com/pr/n...stics-and-segmentation-analysis#ixzz7bRABdkmi
Newsmantraa
Published
August 3, 2022
According to a new report published by Global Market Vision, titled, “Neuromorphic Computing Market”, the global neuromorphic computing market size was valued at $26.32 million in 2020, and is projected to reach $8,582.85 million by 2030, registering a CAGR of 78.6%.
Read more: https://www.digitaljournal.com/pr/n...stics-and-segmentation-analysis#ixzz7bRABdkmi
Press Releases Archive
A global media and thought leadership platform that elevates voices in the news cycle. Online since 1998.
www.digitaljournal.com
equanimous
Norse clairvoyant shapeshifter goddess
If only 1% percent of the readers of this decided to invest in Brainchip then it could possibly add 8500 new investors from a monthly visit...
Not likely but possible
buena suerte :-)
BOB Bank of Brainchip
looking like Battle of the Bots this arvo ......
D
Deleted member 118
Guest
A few more goes at the $1.20 should see us heading to the next resistance at $1.25looking like Battle of the Bots this arvo ......
buena suerte :-)
BOB Bank of Brainchip
Looking that way
gex
Regular
I have a suspicion the large 1.250 order will disappear.
buena suerte :-)
BOB Bank of Brainchip
Yep Esq has been keeping an eye on that one!! nice work 
Morning Chippers,
Well, well, well ,
That mysterious sell order has appeared again.
700,515 shares @ $1.25
LETS WATCH IT BOUNCE AROUND FOR THE DAY, CAPPING THE SHARE PRICE.
Esq.
Morning Chippers,
Well, well, well ,
That mysterious sell order has appeared again.
700,515 shares @ $1.25
LETS WATCH IT BOUNCE AROUND FOR THE DAY, CAPPING THE SHARE PRICE.
Esq.
equanimous
Norse clairvoyant shapeshifter goddess
Researches Use IoT for Cancer Diagnosis
Artificial neurons and an AI system are being used to assess benign or malignant tumors- Written by Scarlett Evans
- 14th July 2022
Researchers from the Korea Institute of Science and Technology (KIST) have developed a novel cancer diagnosis technology; a simple but accurate method that uses tactile neuron devices combined with AI technology.
Typically, a non-invasive method of diagnosis is ultrasound elastography; however, interpretation of the results can vary. The new method identifies and measures the stiffness and distribution of a tumor, allowing for accurate cancer diagnosis.
The KIST team developed this alternative method to improve accuracy and speed up the time of prognosis. For their experiments, the team combined tactile neuron devices with artificial neural network learning methods, applying pressure to a potentially cancerous site, with the pressing force generating electrical spikes that increase or decrease depending on the stiffness of the object encountered.
The method falls under the category of “neuromorphic technology,” a data processing technology that has become increasingly popular given its compatibility with AI, IoT and autonomous technologies. It seeks to emulate the human brain’s method of processing vast amounts of information using minimal energy, with neurons receiving external stimuli through sensory receptors which are then converted into electrical spike signals.
Deploying this for disease diagnosis, the team used elastography images of malignant and benign breast tumors in combination with a spiking neural network learning method. The pixels from the color-coded ultrasound elastography image correlated to the stiffness of the object encountered and were converted to a frequency value to train the AI.
Following this process, the team reported a breast tumor diagnosis accuracy of 95.8%, saying the developed artificial tactile neuron technology is capable of “detecting and learning mechanical properties with a simple structure and method.”
The team also anticipated the device could be used in low-power and high-accuracy disease diagnosis and applications such as robotic surgery, where a surgical site needs to be quickly determined with minimal to no human interaction.
Researches Use IoT for Cancer Diagnosis
Artificial neurons and an AI system are being used to assess benign or malignant tumors
equanimous
Norse clairvoyant shapeshifter goddess
D
Deleted member 118
Guest
Spoke to soon lol
Newk R
Regular
This guy epitomises BRN today.
equanimous
Norse clairvoyant shapeshifter goddess
Researches Use IoT for Cancer Diagnosis
Artificial neurons and an AI system are being used to assess benign or malignant tumors
- Written by Scarlett Evans
- 14th July 2022
Researchers from the Korea Institute of Science and Technology (KIST) have developed a novel cancer diagnosis technology; a simple but accurate method that uses tactile neuron devices combined with AI technology.
Typically, a non-invasive method of diagnosis is ultrasound elastography; however, interpretation of the results can vary. The new method identifies and measures the stiffness and distribution of a tumor, allowing for accurate cancer diagnosis.
The KIST team developed this alternative method to improve accuracy and speed up the time of prognosis. For their experiments, the team combined tactile neuron devices with artificial neural network learning methods, applying pressure to a potentially cancerous site, with the pressing force generating electrical spikes that increase or decrease depending on the stiffness of the object encountered.
The method falls under the category of “neuromorphic technology,” a data processing technology that has become increasingly popular given its compatibility with AI, IoT and autonomous technologies. It seeks to emulate the human brain’s method of processing vast amounts of information using minimal energy, with neurons receiving external stimuli through sensory receptors which are then converted into electrical spike signals.
Deploying this for disease diagnosis, the team used elastography images of malignant and benign breast tumors in combination with a spiking neural network learning method. The pixels from the color-coded ultrasound elastography image correlated to the stiffness of the object encountered and were converted to a frequency value to train the AI.
Following this process, the team reported a breast tumor diagnosis accuracy of 95.8%, saying the developed artificial tactile neuron technology is capable of “detecting and learning mechanical properties with a simple structure and method.”
The team also anticipated the device could be used in low-power and high-accuracy disease diagnosis and applications such as robotic surgery, where a surgical site needs to be quickly determined with minimal to no human interaction.
Researches Use IoT for Cancer Diagnosis
Artificial neurons and an AI system are being used to assess benign or malignant tumorswww.iotworldtoday.com
In this document it states Korea Advanced Institute of Science and Technology is using Spiking Neural Network.
Having a quick look they hold patents for the following:
LOW-POWER, HIGH-PERFORMANCE ARTIFICIAL NEURAL NETWORK TRAINING ACCELERATOR AND ACCELERATION METHOD
APPARATUS AND METHOD FOR TRAINING LOW BIT-PRECISION DEEP NEURAL NETWORK
U.S. Patent Application for APPARATUS AND METHOD FOR TRAINING LOW BIT-PRECISION DEEP NEURAL NETWORK Patent Application (Application #20220222523 issued July 14, 2022) - Justia Patents Search
Disclosed herein are an apparatus and method for training a low-bit-precision deep neural network. The apparatus includes an input unit configured to receive training data to train the deep neural network, and a training unit configured to train the deep neural network using training data...
patents.justia.com
Using Akida?
Researches Use IoT for Cancer Diagnosis
Artificial neurons and an AI system are being used to assess benign or malignant tumors
- Written by Scarlett Evans
- 14th July 2022
Researchers from the Korea Institute of Science and Technology (KIST) have developed a novel cancer diagnosis technology; a simple but accurate method that uses tactile neuron devices combined with AI technology.
Typically, a non-invasive method of diagnosis is ultrasound elastography; however, interpretation of the results can vary. The new method identifies and measures the stiffness and distribution of a tumor, allowing for accurate cancer diagnosis.
The KIST team developed this alternative method to improve accuracy and speed up the time of prognosis. For their experiments, the team combined tactile neuron devices with artificial neural network learning methods, applying pressure to a potentially cancerous site, with the pressing force generating electrical spikes that increase or decrease depending on the stiffness of the object encountered.
The method falls under the category of “neuromorphic technology,” a data processing technology that has become increasingly popular given its compatibility with AI, IoT and autonomous technologies. It seeks to emulate the human brain’s method of processing vast amounts of information using minimal energy, with neurons receiving external stimuli through sensory receptors which are then converted into electrical spike signals.
Deploying this for disease diagnosis, the team used elastography images of malignant and benign breast tumors in combination with a spiking neural network learning method. The pixels from the color-coded ultrasound elastography image correlated to the stiffness of the object encountered and were converted to a frequency value to train the AI.
Following this process, the team reported a breast tumor diagnosis accuracy of 95.8%, saying the developed artificial tactile neuron technology is capable of “detecting and learning mechanical properties with a simple structure and method.”
The team also anticipated the device could be used in low-power and high-accuracy disease diagnosis and applications such as robotic surgery, where a surgical site needs to be quickly determined with minimal to no human interaction.
Researches Use IoT for Cancer Diagnosis
Artificial neurons and an AI system are being used to assess benign or malignant tumors
buena suerte :-)
BOB Bank of Brainchip
Similar threads
