Think Brainchip needs to improve the way they market to this community, they have been spamming them and they don’t like it…
BRN Discussion Ongoing
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Frank Zappa
Regular
I read the whole post . Did I miss where Brainchip was mentioned?
It would be great if we could have an extraordinary AGM,Few jobs would go and we may find a direction that actual appreciates shareholders,listens,promotes revenue and full disclosure,sick of reading about MOU’s that no one knew about. We are just mushrooms with this lot in charge,sick of it.
HappyChippy
Member
Has anyone ever come across this company before?
Watch their video, very familiar looking tech.
Watch their video, very familiar looking tech.
So we just going to post anything and say Akida may or maynot be involved?
Ok then, post away. Keep us all excited about things that may or may not contain Akida.
Re: SP. Easier said than done matey.
Just saw one of our our employees that I follow on instagram liking Kim Kadarshian's post.
Now I am not saying she must be involved with Akida. But I am not saying she is NOT invovled at all.
To me this is exciting news regardless.
Anyway no need to keep your eyes on her insta page or our SP.
DYOR YMMV
Now I am not saying she must be involved with Akida. But I am not saying she is NOT invovled at all.
To me this is exciting news regardless.
Anyway no need to keep your eyes on her insta page or our SP.
DYOR YMMV
Fullmoonfever
Top 20
Busy on the road today with clients so not checked much but by look of SP probs not a bad thing I guess.
Anyway, just surfing some keywords and hadn't see this paper from mid last year.
Nothing special per se on Akida however has a nice little comparison table that was interesting.
Obviously with 2.0 we now also have a few more strings so to speak.
One author from Intel and another from BMW research.
Original paper HERE
Neuromorphic computing hardware and neural
architectures forrobotics
Yulia Sandamirskaya1
*, Mohsen Kaboli2,3
, Jorg Conradt4
, Tansu Celikel5
Neuromorphic Computing Lab, Intel, Munich, Germany. 2
BMW Group, Department of Research, New Technol-
ogies and Innovation, Munich, Germany. 3
Donders Institute for Brain, Cognition, and Behavior, Radboud University,
Nijmegen, Netherlands. 4
Kungliga Tekniska Högskolan (KTH), School of Electrical Engineering and Computer
Science, Stockholm, Sweden. 5Georgia Institute of Technology, Atlanta, GA, USA.
Neuromorphic hardware enables fast and power-efficient neural network–based artificial intelligence that is well
suited to solving robotic tasks. Neuromorphic algorithms can be further developed following neural computing
principles and neural network architectures inspired by biological neural systems. In this Viewpoint, we provide
an overview of recent insights from neuroscience that could enhance signal processing in artificial neural networks
on chip and unlock innovative applications in robotics and autonomous intelligent systems. These insights
uncover computing principles, primitives, and algorithms on different levels of abstraction and call for more
research into the basis of neural computation and neuronally inspired computing hardware
Anyway, just surfing some keywords and hadn't see this paper from mid last year.
Nothing special per se on Akida however has a nice little comparison table that was interesting.
Obviously with 2.0 we now also have a few more strings so to speak.
One author from Intel and another from BMW research.
Original paper HERE
Neuromorphic computing hardware and neural
architectures forrobotics
Yulia Sandamirskaya1
*, Mohsen Kaboli2,3
, Jorg Conradt4
, Tansu Celikel5
Neuromorphic Computing Lab, Intel, Munich, Germany. 2
BMW Group, Department of Research, New Technol-
ogies and Innovation, Munich, Germany. 3
Donders Institute for Brain, Cognition, and Behavior, Radboud University,
Nijmegen, Netherlands. 4
Kungliga Tekniska Högskolan (KTH), School of Electrical Engineering and Computer
Science, Stockholm, Sweden. 5Georgia Institute of Technology, Atlanta, GA, USA.
Neuromorphic hardware enables fast and power-efficient neural network–based artificial intelligence that is well
suited to solving robotic tasks. Neuromorphic algorithms can be further developed following neural computing
principles and neural network architectures inspired by biological neural systems. In this Viewpoint, we provide
an overview of recent insights from neuroscience that could enhance signal processing in artificial neural networks
on chip and unlock innovative applications in robotics and autonomous intelligent systems. These insights
uncover computing principles, primitives, and algorithms on different levels of abstraction and call for more
research into the basis of neural computation and neuronally inspired computing hardware
Learning
Learning to the Top 🕵♂️
This may be old, but did anyone noted, there are neuromorphic hardware inside the Mercedes's VISION AVTR? Although it's doesn't mention BrainChip back then.
"The neuro-inspired approach of the VISION AVTR, including so-called neuromorphic hardware, promises to minimise the energy requirements of sensors, chips and other components to a few watts."
www.mercedes-benz.com
The Mercedes VISION AVTR debut January 2020. The VISION EQXX debut January 2022.
What are the chance of Neuromorphic computing inside the VISION One Eleven?
Learning 🏖
"The neuro-inspired approach of the VISION AVTR, including so-called neuromorphic hardware, promises to minimise the energy requirements of sensors, chips and other components to a few watts."
Inspired by the future: The Mercedes-Benz VISION AVTR.
The concept car Mercedes-Benz VISION AVTR shows a completely new interaction between human, machine and nature.
www.mercedes-benz.com
The Mercedes VISION AVTR debut January 2020. The VISION EQXX debut January 2022.
What are the chance of Neuromorphic computing inside the VISION One Eleven?
Learning 🏖
Last edited:
alwaysgreen
Top 20
Akida is carrying out vibration analysis on her butt.
robsmark
Regular
I now identify as Akida.
You'll end up stuttering.....
supersonic001
Regular
TSMC on LinkedIn: TSMC 3Dblox™: Unleashing 3D IC Innovations for the Next Generation of AI…
At TSMC, we're excited about the potential for faster adoption of AI and accelerated computing needs. We believe that the key to unlocking this potential lies…
I’m likin the words “potential for faster adoption of AI”
Hi Moonshot,
Thanks for digging this out.
I don't know Jason's site.
I think Yen should do what I do with Ikea flatpacks - when all else fails, read the instructions.
Funny we didn't get a giraffe stamp or an SNN stamp.
Fullmoonfever
Top 20
From a late 2022 paper / presso at the IJCNN conference.
Was just a pick up on the robotics aspect given who we chatting to shortly on the podcast.
Original HERE
CARLsim 6: An Open Source Library for
Large-Scale, Biologically Detailed Spiking Neural Network Simulation
Lars Niedermeier∗
, Kexin Chen†
, Jinwei Xing†
, Anup Das§
, Jeffrey Kopsick¶
,
Eric Scott∥
, Nate Sutton∗∗, Killian Weber‡
, Nikil Dutt†‡ and Jeffrey L. Krichmar†‡
∗Niedermeier Consulting, Zurich, ZH, Switzerland
†Department of Cognitive Sciences, University of California, Irvine, CA, USA
‡Department of Computer Science, University of California, Irvine, CA, USA
§Electrical and Computer Engineering, Drexel University, Philadelphia, USA
¶Interdepartmental Program in Neuroscience, George Mason University, Fairfax, VA, USA
∥Evolutionary Computation Laboratory, George Mason University, Fairfax, VA, USA
∗∗Bioengineering Department, George Mason University, Fairfax, VA, USA
Correspondence Email: jkrichma@uci.edu
B. Compatibility with Neuromorphic Hardware
One of NVIDIA’s keys to success was the cost reduction of GPU chips through mass production of their graphics cards
for computer games, which ultimately led to their leading role today in supercomputing and artificial intelligence.
As a consequence, GPUs still outperform neuromorphic hardware, especially for large scale models [28], but this comes at a significant energy cost. On the other hand, low power neuromorphic chips (e.g., Intel’s Loihi 2 and BrainChip’s Akida) have attained product level maturity, which makes them the primary choice for cloud edge devices and autonomous robots. The contribution of PyCARL [5] allows not only the development of models for such neuromorphic hardware but also to ensure spike timing when the SNNs are transferred to neuromorphic chips.
Was just a pick up on the robotics aspect given who we chatting to shortly on the podcast.
Original HERE
CARLsim 6: An Open Source Library for
Large-Scale, Biologically Detailed Spiking Neural Network Simulation
Lars Niedermeier∗
, Kexin Chen†
, Jinwei Xing†
, Anup Das§
, Jeffrey Kopsick¶
,
Eric Scott∥
, Nate Sutton∗∗, Killian Weber‡
, Nikil Dutt†‡ and Jeffrey L. Krichmar†‡
∗Niedermeier Consulting, Zurich, ZH, Switzerland
†Department of Cognitive Sciences, University of California, Irvine, CA, USA
‡Department of Computer Science, University of California, Irvine, CA, USA
§Electrical and Computer Engineering, Drexel University, Philadelphia, USA
¶Interdepartmental Program in Neuroscience, George Mason University, Fairfax, VA, USA
∥Evolutionary Computation Laboratory, George Mason University, Fairfax, VA, USA
∗∗Bioengineering Department, George Mason University, Fairfax, VA, USA
Correspondence Email: jkrichma@uci.edu
B. Compatibility with Neuromorphic Hardware
One of NVIDIA’s keys to success was the cost reduction of GPU chips through mass production of their graphics cards
for computer games, which ultimately led to their leading role today in supercomputing and artificial intelligence.
As a consequence, GPUs still outperform neuromorphic hardware, especially for large scale models [28], but this comes at a significant energy cost. On the other hand, low power neuromorphic chips (e.g., Intel’s Loihi 2 and BrainChip’s Akida) have attained product level maturity, which makes them the primary choice for cloud edge devices and autonomous robots. The contribution of PyCARL [5] allows not only the development of models for such neuromorphic hardware but also to ensure spike timing when the SNNs are transferred to neuromorphic chips.
Fullmoonfever
Top 20
Thought I'd have a look at Prophesee as not done so for awhile.
Even though we know they're a partner and maybe been posted before but I personally hadn't seen it.
Nice we are on "their" partner page
www.prophesee.ai
Even though we know they're a partner and maybe been posted before but I personally hadn't seen it.
Nice we are on "their" partner page
PROPHESEE | Metavision for Machines
REVEAL THE INVISIBLE with the world's most advanced neuromorphic vision system, inspired by human vision and built on the foundation of neuromorphic engineering. PROPHESEE gives Metavision to machines, revealing what was previously invisible to them.
PARTNERS
What a team ... nice work Jesse and hairy toes ( spa party co-ordinator)
Great news! finally we are getting some traction... Nintendo ... yes please
Would be great to hear some news regarding Mercedes .. Just a gut feeling(warm & fuzzy)
Time will tell !?
Good night from a very wet Perth
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