GazDix
Regular
No, Rise From the Ashes was before to see if he could password crack it so we can search through the data easier.
I manually went through the data and found out which companies are at our booth with us. But I may have missed one.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
I manually went through the data and found out which companies are at our booth with us. But I may have missed one.
Fullmoonfever
Top 20
This might help from my post last Thur?
BRN Discussion Ongoing
So from Infineon's Doctoral Thesis ad we know that they're looking for someone to do a thesis investigating how to combine neuromorphic computing with the latest Infineon Aurix® µC. Which means we might be in the next generation Aurix if I'm not mistaken or completely crazy or both! I mean...
thestockexchange.com.au
I checked out the Embedded World site and appears BRN not appearing on their own as an Exhibitor yet (couldn't find them in a search) but I guess piggy backing with partners (existing...new?) or a late registration maybe?
You can check the floorplan and Exhibitor Listings in these links.
There is a sheet load gonna be there.
https://www.embedded-world.de/en/exhibitors-products/exhibitors
https://www.embedded-world.de/en/exhibit/plan-your-stand/floor-plan
Says we are at 2-238 which appears to be this one in Hall 2.
This might help from my post last Thur?
BRN Discussion Ongoing
So from Infineon's Doctoral Thesis ad we know that they're looking for someone to do a thesis investigating how to combine neuromorphic computing with the latest Infineon Aurix® µC. Which means we might be in the next generation Aurix if I'm not mistaken or completely crazy or both! I mean...
I checked out the Embedded World site and appears BRN not appearing on their own as an Exhibitor yet (couldn't find them in a search) but I guess piggy backing with partners (existing...new?) or a late registration maybe?
You can check the floorplan and Exhibitor Listings in these links.
There is a sheet load gonna be there.
https://www.embedded-world.de/en/exhibitors-products/exhibitors
https://www.embedded-world.de/en/exhibit/plan-your-stand/floor-plan
Says we are at 2-238 which appears to be this one in Hall 2.
You need to look closer
Rise from the ashes
Regular
Ok what do reckon about the legalities of cracking this since it's a file from a business?
After cracking one would be able to modify the document.
I'm going to do the smart thing and just opt out of this.
After cracking one would be able to modify the document.
I'm going to do the smart thing and just opt out of this.
Last edited:
GazDix
Regular
Nice one, sorry, I missed your post. Yes, exciting stuff.This might help from my post last Thur?
BRN Discussion Ongoing
So from Infineon's Doctoral Thesis ad we know that they're looking for someone to do a thesis investigating how to combine neuromorphic computing with the latest Infineon Aurix® µC. Which means we might be in the next generation Aurix if I'm not mistaken or completely crazy or both! I mean...
I checked out the Embedded World site and appears BRN not appearing on their own as an Exhibitor yet (couldn't find them in a search) but I guess piggy backing with partners (existing...new?) or a late registration maybe?
You can check the floorplan and Exhibitor Listings in these links.
There is a sheet load gonna be there.
https://www.embedded-world.de/en/exhibitors-products/exhibitors
https://www.embedded-world.de/en/exhibit/plan-your-stand/floor-plan
Says we are at 2-238 which appears to be this one in Hall 2.
DingoBorat
Slim
Does that many hash tags, increase the visibility of the article?
VictorG
Member
According to RT, BRN will be located at booth 2-238 at the Embedded World 2023.
According to Embedded World's website, a company called AIZIP is in booth 2-238
AIZIP doesn't list BRN as partners but they do say they have new partnerships to be announced shortly.
Interestingly though AIZIP's link to their partnership with Renesas describes everything Akida does.
According to Embedded World's website, a company called AIZIP is in booth 2-238
AIZIP doesn't list BRN as partners but they do say they have new partnerships to be announced shortly.
Interestingly though AIZIP's link to their partnership with Renesas describes everything Akida does.
Behind the scenes Megachips is bringing Spiking Neural Networks (SNN) to Universities.
This is an initiative for MegaChips’ mid- to long-term sustainable growth, which will contribute to the resolution of regional and social issues through collaboration with universities.
Social | MegaChips Corporation
www.megachips.co.jp
Collaborative Projects with Japanese Universities
MegaChips is also collaborating with universities in Japan to take on the challenge of achieving new innovations.This is an initiative for MegaChips’ mid- to long-term sustainable growth, which will contribute to the resolution of regional and social issues through collaboration with universities.
1. Collaborative Project with Nara Institute of Science and Technology
Purpose of Research
MegaChips is promoting the edge AI business as a new business to achieve a sustainable society. We have embarked on collaborative research with the Nara Institute of Science and Technology concerning “high-speed robot controls” by applying Spiking Neural Network (SNN) to high-rate 3D sensors.Background of Project Launch
The edge AI that MegaChips is working on aims AI branded sensors that directly connect the sensor to AI process. The data is then processed by the edge device into information required for the robotic system, which is passed on to the controller. By doing so, the entire system’s transmission volume can be reduced, resulting in an overall improvement of the entire system’s speed and latency. Especially in the industrial/FA field, high-speed and low-latency systems are desired for use cases, such as robotic arms and automated guided vehicles. In the industrial/FA field, we are starting research about AI-based action planning and high-speed control design of robots, with the aim of contributing to improved safety and work efficiency of robotic and other systems.Research Initiatives
Our goal is to establish technology for high-speed control (reflexive motion) of robots and provide technical feedback to our products to improve the superiority of our business.- Application of low power consumption and high-speed processing AI HW by SNN to robots
- Investigation of quantization algorithm for model reduction and its application to reinforcement learning
2. Collaborative Project with Tokyo Metropolitan University
Purpose of Research
We are promoting business expansion in the growing markets of AI, robotics, and other fields. In collaboration with Tokyo Metropolitan University, we have commenced research on initiatives related to “Robot Intelligence Innovation Based on Local 5G for Super Real-Time Tracking” to realize a highly advanced, networked society in which everything is connected to the Web and equipped with AI technology.Background of Joint Research
The high-performance, compact, and ultra-low power consumption technology of edge AI that we are working on can contribute to the automation and autonomy of robots, such as personal mobility and automated guided vehicles. MegaChips is also participating in a consortium for a local 5G project. We aim to strategically launch and grow new businesses by building trust with new partners through proactive communication and the acquisition of new knowledge in the robotics field, where the market is expected to expand.Research Initiatives
In collaboration with the consortium members, we will identify issues and study prototyping for social implementation. MegaChips is responsible for the systematization infrastructure and will take on the challenge of achieving a society in which intelligent technology and robotic technology are integrated.Rise from the ashes
Regular
TechGirl
Founding Member
Prophesee named to La French Tech 120
Prophesee today announced it was named to the French Tech Next120 list, a recognition and support program for top startups from the French government.
Prophesee named to La French Tech 120
PARIS – February 20, 2023 – Prophesee today announced it was named to the French Tech Next120 list, a recognition and support program for top startups from the French government. The prestigious annual list recognizes France’s highest performing startups confirmed by the amount of funds raised and/or hypergrowth of their revenues. Coming off a fundraise round that elevated the company to be the EU’s most well-funded fabless semiconductor startup, inclusion in the FT120 further solidifies Prophesee’s unique position as a European leader in the vision sensors ecosystem.
Launched in 2019 by the Mission French Tech, the French Tech Next40/120 is a program for the Government to support the most successful French start-ups, who have the potential to become world-class technology leaders. Selection criteria: The selection criteria for the class of 2023 were particularly demanding. The program is aimed at start-ups with the most potential, selected according to two complementary approaches:
● fundraising, testifying to the trust investors have in these companies: they had to have raised at least €40 million between 2020 and 2022, a threshold that has doubled in relation to the class of 2022 (40 companies selected among those eligible, in order of fundraising).
● hyper-growth, which testifies to the trust of these companies’ clients: they had to demonstrate a turnover of at least €10 million during the last closed fiscal year and showing an average growth of at least 25% during the last three closed fiscal years (40 companies selected from those eligible, in order of revenue).
Find all the information on the French Tech Next40/120 on the Mission French Tech website: www.lafrenchtech.com/en
Fullmoonfever
Top 20
Missing posts easy to do round here with so much info and digging by everyone
Damo4
Regular
Hey all, apologies if already been posted but I couldn't see it in the 3 seconds of searching I performed
Looks like the results were published in Nov 22.
Obviously not Akida but a great read on what NM tech is capable of.
Neuromorphic semiconductor device achieves world's highest handwriting pattern recognition rate
A diagram of battery material-incorporated next-generation neuromorphic semiconductor device with high-density and high-reliability (left) Photo and handwriting pattern recognition accuracy of a 3-terminal-based device with high density made of a thin film of lithium-ion (right). Credit: Korea Institute of Materials Science (KIMS)
A research team led by Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon has successfully developed the world's first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials. They achieved this by producing ultra-thin lithium ions, a key material of lithium-ion batteries that have been in the spotlight recently, and combining it with two-dimensional nano-materials. The research team is from the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS).
A neuromorphic semiconductor device has synapses and neurons similar to the human brain, which processes and memorizes information. The synaptic device receives signals from neurons and modulates the synaptic weight (connection strength) in various ways to simultaneously process and store information. In particular, the linearity and symmetry of synaptic weights enables various pattern recognition with low power.
Traditional methods for controlling synaptic weights use charge traps between interfaces of heterogeneous materials or oxygen ions. In this case, however, it is difficult to control the movement of ions in the desired direction according to the external electric field. The researchers solved this problem with an artificial intelligence semiconductor device with high density by developing a thin film process while maintaining the mobility of lithium ions according to the external electric field. The thin film—with a thickness of several tens of nanometers—enables fine pattern processing while controlling the thickness of the wafer scale.
The research team developed the film using a vacuum sputtering deposition method that is used in general semiconductor processing. The thickness of the deposited film is less than 100 nanometers. After a transistor-type device on a silicon wafer substrate is manufactured and when an electric field is applied from the outside, the lithium ions in the charged lithium thin film move so that the conductivity of the channel can be precisely controlled.
The research team implemented an artificial neural network learning pattern using this synapse device and developed handwriting image pattern recognition. The artificial intelligence semiconductor device shows a handwriting pattern recognition rate of about 96.77% by maintaining the characteristics of finely adjusted synaptic weight even in an electric field repeated more than 500 times.
The research team stated, "Our next-generation neuromorphic semiconductor device does not require CPU and memory, the traditional Von Neumann-type information processing device and information storage device. It can simultaneously process and store information and learns and recognizes images such as handwriting patterns. It is expected to be applied to various low-power artificial intelligence devices such as world-class neuromorphic hardware systems, haptic devices, and vision sensors."
The results of the research were published in ACS Applied Materials & Interfaces on November 17, 2022. The research team is conducting follow-up research on low-power artificial intelligence devices and wearable edging devices
Looks like the results were published in Nov 22.
Obviously not Akida but a great read on what NM tech is capable of.
Neuromorphic semiconductor device achieves world's highest handwriting pattern recognition rate
Neuromorphic semiconductor device achieves world's highest handwriting pattern recognition rate
by National Research Council of Science & Technology
A diagram of battery material-incorporated next-generation neuromorphic semiconductor device with high-density and high-reliability (left) Photo and handwriting pattern recognition accuracy of a 3-terminal-based device with high density made of a thin film of lithium-ion (right). Credit: Korea Institute of Materials Science (KIMS)
A research team led by Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon has successfully developed the world's first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials. They achieved this by producing ultra-thin lithium ions, a key material of lithium-ion batteries that have been in the spotlight recently, and combining it with two-dimensional nano-materials. The research team is from the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS).
A neuromorphic semiconductor device has synapses and neurons similar to the human brain, which processes and memorizes information. The synaptic device receives signals from neurons and modulates the synaptic weight (connection strength) in various ways to simultaneously process and store information. In particular, the linearity and symmetry of synaptic weights enables various pattern recognition with low power.
Traditional methods for controlling synaptic weights use charge traps between interfaces of heterogeneous materials or oxygen ions. In this case, however, it is difficult to control the movement of ions in the desired direction according to the external electric field. The researchers solved this problem with an artificial intelligence semiconductor device with high density by developing a thin film process while maintaining the mobility of lithium ions according to the external electric field. The thin film—with a thickness of several tens of nanometers—enables fine pattern processing while controlling the thickness of the wafer scale.
The research team developed the film using a vacuum sputtering deposition method that is used in general semiconductor processing. The thickness of the deposited film is less than 100 nanometers. After a transistor-type device on a silicon wafer substrate is manufactured and when an electric field is applied from the outside, the lithium ions in the charged lithium thin film move so that the conductivity of the channel can be precisely controlled.
The research team implemented an artificial neural network learning pattern using this synapse device and developed handwriting image pattern recognition. The artificial intelligence semiconductor device shows a handwriting pattern recognition rate of about 96.77% by maintaining the characteristics of finely adjusted synaptic weight even in an electric field repeated more than 500 times.
The research team stated, "Our next-generation neuromorphic semiconductor device does not require CPU and memory, the traditional Von Neumann-type information processing device and information storage device. It can simultaneously process and store information and learns and recognizes images such as handwriting patterns. It is expected to be applied to various low-power artificial intelligence devices such as world-class neuromorphic hardware systems, haptic devices, and vision sensors."
The results of the research were published in ACS Applied Materials & Interfaces on November 17, 2022. The research team is conducting follow-up research on low-power artificial intelligence devices and wearable edging devices
No @Rise from the ashes I still enjoy a beer in a nice location. I will bring back the beer pics when we hit $5 and are all in full party mode.Hey @Slade you given up drinking beer?
I miss those pics of you having a brew in beautiful background settings.
DingoBorat
Slim
"Apologies to the classically trained but I am reading to an audience of under 2 year olds where The Little Red Hen rules"
Sometimes, it seems you are posting to same
... 
HarryCool1
Regular
"Apologies to the classically trained but I am reading to an audience of under 2 year olds where The Little Red Hen rules"
Sometimes, it seems you are posting to same
HopalongPetrovski
I'm Spartacus!
He's back, but with the gloves off."Apologies to the classically trained but I am reading to an audience of under 2 year olds where The Little Red Hen rules"
Sometimes, it seems you are posting to same
Love it.
Fact Finder
Top 20
This is a non party political news item relevant to all those here who are trying to plan for their retirement by investing in superannuation and look to governments of all persuasions to provide a level of certainty around the tax laws covering same so that they can live a happy and secure life in retirement and not call upon the public purse.
The above article is confirming that promises regarding how your superannuation will be dealt with and taxed are far from sacred.
Both sides of government constantly screwed with my ability to plan and save for retirement and forced me to enter the stock market. I was lucky I had the skill set to do so as it turned out but many if not most do not so those who adopt a less risky road to retirement security kept being screwed over as rules changed every ten minutes.
My opinion only but all sides of politics throw out these types of press releases to see how the public react. If you are as I know many here are attempting to build your retirement wealth do not be a wall flower make you views known to your party of choice if you do not want the rug pulled out from under your retirement.
Regards
FF
AKIDA BALLISTA
MSN
www.msn.com
The above article is confirming that promises regarding how your superannuation will be dealt with and taxed are far from sacred.
Both sides of government constantly screwed with my ability to plan and save for retirement and forced me to enter the stock market. I was lucky I had the skill set to do so as it turned out but many if not most do not so those who adopt a less risky road to retirement security kept being screwed over as rules changed every ten minutes.
My opinion only but all sides of politics throw out these types of press releases to see how the public react. If you are as I know many here are attempting to build your retirement wealth do not be a wall flower make you views known to your party of choice if you do not want the rug pulled out from under your retirement.
Regards
FF
AKIDA BALLISTA
TheDrooben
Pretty Pretty Pretty Pretty Good
Rise from the ashes
Regular
Similar threads
