Great point.
The branding and marketing need to improve to show that we have come a long way.
This would then help build reputation and confidence for potential partners and customers
BRN Discussion Ongoing
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The branding and marketing need to improve to show that we have come a long way.
This would then help build reputation and confidence for potential partners and customers
Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing - Nature Communications
Neuromorphic software and hardware solutions vary widely, challenging interoperability and reproducibility. Here, authors establish a representation for neuromorphic computations in continuous time and demonstrate support across 11 platforms.
#akida #neuromorphicchip #research #development #projectreview #ai #ml #datascienceua | Vasyl Chumachenko, PhD
Akida neuromorphic chips – my honest opinion after finishing an R&D project focused on this technology 🧬 Our AI Consulting team at Data Science UA is proud to share that we've successfully completed our latest R&D project, and the paper is officially in the works! So, here I am, reflecting on...
Food4 thought
Regular
Brainchip really need to release a good news story on asx to have and capture the good news stories in the media or we will be going backwards again
Down down
the s p is down
Down down
the s p is downDon't encourage her.View attachment 70343
Why Qualcomm AI Orchestrator is the key to next generation AI experiences | Qualcomm
Discover how Qualcomm AI Orchestrator enhances on-device AI with personalized, multimodal support, improving privacy and responsiveness.www.qualcomm.com
mrgds
Regular
@Diogenese , Your right, we have gone this long not hearing her.
This new chip turns AI upside down. IBM NorthPole is the hardware breakthrough that supercharges AI. IBM's NorthPole overcomes key tradeoffs, supercharging speed and energy efficiency. Last… | Armand Ruiz | 70 comments
This new chip turns AI upside down. IBM NorthPole is the hardware breakthrough that supercharges AI. IBM's NorthPole overcomes key tradeoffs, supercharging speed and energy efficiency. Last week, the team based in CA presented new results at the IEEE Conference on High-Performance...
Boab
I wish I could paint like Vincent
This is the last sentence of that post. Sounds great but............
This new chip turns AI upside down. IBM NorthPole is the hardware breakthrough that supercharges AI. IBM's NorthPole overcomes key tradeoffs, supercharging speed and energy efficiency. Last… | Armand Ruiz | 70 comments
This new chip turns AI upside down. IBM NorthPole is the hardware breakthrough that supercharges AI. IBM's NorthPole overcomes key tradeoffs, supercharging speed and energy efficiency. Last week, the team based in CA presented new results at the IEEE Conference on High-Performance...www.linkedin.com
Kudos to the brilliant team from IBM Research for leading this development. We can't wait to make this technology available to our customers.
Bravo
If ARM was an arm, BRN would be its biceps💪!
View attachment 70343Why Qualcomm AI Orchestrator is the key to next generation AI experiences | Qualcomm
Discover how Qualcomm AI Orchestrator enhances on-device AI with personalized, multimodal support, improving privacy and responsiveness.
OOooooohh! That sounds encouraging @IloveLamp!
Pom down under
Top 20
For a millisecond I thought this was going to be it and be the icing on my cake. But then I remembered it was an announcement from
BRN
BRN
I think you need more food for your thoughts…Brainchip really need to release a good news story on asx to have and capture the good news stories in the media or we will be going backwards again
Down down
IBM have several patent applications for hybrid (Frankenstein) analog/digital NNs.This new chip turns AI upside down. IBM NorthPole is the hardware breakthrough that supercharges AI. IBM's NorthPole overcomes key tradeoffs, supercharging speed and energy efficiency. Last… | Armand Ruiz | 70 comments
This new chip turns AI upside down. IBM NorthPole is the hardware breakthrough that supercharges AI. IBM's NorthPole overcomes key tradeoffs, supercharging speed and energy efficiency. Last week, the team based in CA presented new results at the IEEE Conference on High-Performance...
They must have found way of solving the manufacturing and operational variability of memristors. I guess the problem is manageable with single bit weights/activations.
US2024202275A1 ASSIGNING DNN WEIGHTS TO A 3D CROSSBAR ARRAY 20221220
US2024185057A1 HYBRID ANALOG SYSTEM FOR TRANSFER LEARNING 20221205
Good afternoon,
What I find rather interesting, if that's the right word is in the attached link below, that's primarily focused on us,
Brainchip's latest offering AKIDA PICO, how does Mike Davies (Intel) get quoted, as if he's the spiking neural network guru in
an article about us....can you reference any recent Intel articles where key Brainchip staff (Peter or Anil) get asked to comment
within a competitors new product article....maybe I'm just moaning out loud, but I'm pretty sure our CTO would never be drawn
into comment on other companies news articles....just saying......
spectrum.ieee.org
Tech
What I find rather interesting, if that's the right word is in the attached link below, that's primarily focused on us,
Brainchip's latest offering AKIDA PICO, how does Mike Davies (Intel) get quoted, as if he's the spiking neural network guru in
an article about us....can you reference any recent Intel articles where key Brainchip staff (Peter or Anil) get asked to comment
within a competitors new product article....maybe I'm just moaning out loud, but I'm pretty sure our CTO would never be drawn
into comment on other companies news articles....just saying......
Brain-like Computers Tackle the Extreme Edge
Start-up BrainChip announces a new chip design for a milliwatt-level AI inference
spectrum.ieee.org
Tech
DingoBorat
Slim
Yeah, but what can you do, if you want to get an independent industry view on a new product and the best option for that, is a Company with a research chip?..Good afternoon,
What I find rather interesting, if that's the right word is in the attached link below, that's primarily focused on us,
Brainchip's latest offering AKIDA PICO, how does Mike Davies (Intel) get quoted, as if he's the spiking neural network guru in
an article about us....can you reference any recent Intel articles where key Brainchip staff (Peter or Anil) get asked to comment
within a competitors new product article....maybe I'm just moaning out loud, but I'm pretty sure our CTO would never be drawn
into comment on other companies news articles....just saying......
Brain-like Computers Tackle the Extreme Edge
Start-up BrainChip announces a new chip design for a milliwatt-level AI inference
Tech
We are basically at the top of the Neuromorphic Hill.
That's not reflected yet, in the way we want, but the fact that we are often mentioned, after Intel and IBM (with other startups "sometimes" mentioned after) says a lot, when the size of the respective Companies is considered..
Bravo
If ARM was an arm, BRN would be its biceps💪!
How AI and Accelerated Computing Drive Energy Efficiency
AI and accelerated computing are transforming industries by driving energy efficiency and offering innovative solutions to global sustainability challenges, as Joshua Parker explains on NVIDIA’s AI Podcast.October 3, 2024 by Kristen Yee
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AI isn’t just about building smarter machines. It’s about building a greener world.
From optimizing energy use to reducing emissions, artificial intelligence and accelerated computing are helping industries tackle some of the world’s toughest environmental challenges.
As Joshua Parker, NVIDIA’s Senior Director of Corporate Sustainability, explains on the latest edition of NVIDIA’s AI Podcast, these technologies are powering a new era of energy efficiency.
Can AI Help Reduce Energy Consumption?
Yes. And it’s doing it in ways that might surprise you.AI systems themselves use energy—sure—but the big story is how AI and accelerated computing are helping other systems save energy.
Take data centers, for instance.
The AI Podcast · NVIDIA’s Josh Parker on How AI and Accelerated Computing Drive Sustainability – Ep. 233
They’re the backbone of AI, housing the powerful systems that crunch the data needed for AI to work.
Globally, data centers account for about 2% of total energy consumption, and AI-specific centers represent only a tiny fraction of that, Parker explains.
Despite this, AI’s real superpower lies in its ability to optimize.
How? By using accelerated computing platforms that combine GPUs and CPUs.
GPUs (Graphics Processing Units) are designed to handle complex computations quickly and efficiently.
In fact, these systems can be up to 20 times more energy-efficient than traditional CPU-only systems, Parker notes.
That’s not just good for tech companies—it’s good for the environment, too.
What is Accelerated Computing?
At its core, accelerated computing is about doing more with less.It involves using specialized hardware—like GPUs—to perform tasks faster and with less energy.
This isn’t just theoretical. Over the last eight years, AI systems running on accelerated computing platforms have become 45,000 times more energy-efficient, Parker said.
That’s a staggering leap in performance, driven by improvements in both hardware and software.
So why does this matter? It matters because, as AI becomes more widespread, the demand for computing power grows.
Accelerated computing helps companies scale their AI operations without consuming massive amounts of energy. This energy efficiency is key to AI’s ability to tackle some of today’s biggest sustainability challenges.
AI in Action: Tackling Climate Change
AI isn’t just saving energy—it’s helping to fight climate change.For instance, AI-enhanced weather forecasting is becoming more accurate, allowing industries and governments to prepare for climate-related events like hurricanes or floods, Parker explains.
The better we can predict these events, the better we can prepare for them, which means fewer resources wasted and less damage done.
Another key area is the rise of digital twins—virtual models of physical environments.
These AI-powered simulations allow companies to optimize energy consumption in real-time, without having to make costly changes in the physical world.
In one case, using a digital twin helped a company achieve a 10% reduction in energy use, Parker said. That may sound small, but scale it across industries and the impact is huge.
AI is also playing a crucial role in developing new materials for renewable energy technologies like solar panels and electric vehicles, accelerating the transition to clean energy.
Can AI Make Data Centers More Sustainable?
Here’s the thing: AI needs data centers to operate, and as AI grows, so does the demand for computing power. But data centers don’t have to be energy hogs.In fact, they can be part of the sustainability solution.
One major innovation is direct-to-chip liquid cooling. This technology allows data centers to cool their systems much more efficiently than traditional air conditioning methods, which are often energy-intensive.
By cooling directly at the chip level, this method saves energy, helping data centers stay cool without guzzling power, Parker explains.
As AI scales up, the future of data centers will depend on designing for energy efficiency from the ground up. That means integrating renewable energy, using energy storage solutions, and continuing to innovate with cooling technologies.
The goal is to create green data centers that can meet the world’s growing demand for compute power without increasing their carbon footprint, Parker says.
The Role of AI in Building a Sustainable Future
AI is not just a tool for optimizing systems—it’s a driver of sustainable innovation. From improving the efficiency of energy grids to enhancing supply chain logistics, AI is leading the charge in reducing waste and emissions.Let’s look at energy grids. AI can monitor and adjust energy distribution in real-time, ensuring that resources are allocated where they’re needed most, reducing waste.
This is particularly important as the world moves toward renewable energy, which can be less predictable than traditional sources like coal or natural gas, Parker said.
AI is also helping industries reduce their carbon footprints. By optimizing routes and predicting demand more accurately, AI can cut down on fuel use and emissions in logistics and transportation sectors.
Looking to the future, AI’s role in promoting sustainability is only going to grow.
As technologies become more energy-efficient and AI applications expand, we can expect AI to play a crucial role in helping industries meet their sustainability goals, Parker said.
It’s not just about making AI greener—it’s about using AI to make the world greener.
AI and accelerated computing are reshaping how we think about energy and sustainability.
With their ability to optimize processes, reduce energy waste, and drive innovations in clean technology, these technologies are essential tools for creating a sustainable future.
As Parker explains on NVIDIA’s AI Podcast, AI’s potential to save energy and combat climate change is vast—and we’re only just beginning to tap into it.
How AI and Accelerated Computing Drive Energy Efficiency
AI isn’t just about building smarter machines. It’s about building a greener world. From optimizing energy use to reducing emissions, artificial intelligence and accelerated computing are helping industries tackle some of the world’s toughest environmental challenges. As Joshua Parker, NVIDIA’s...
blogs.nvidia.com
rgupta
Regular
Everyone who worked with akida have the same opinion but still so long to get market acceptance.View attachment 70348 View attachment 70349
#akida #neuromorphicchip #research #development #projectreview #ai #ml #datascienceua | Vasyl Chumachenko, PhD
Akida neuromorphic chips – my honest opinion after finishing an R&D project focused on this technology 🧬 Our AI Consulting team at Data Science UA is proud to share that we've successfully completed our latest R&D project, and the paper is officially in the works! So, here I am, reflecting on...
Luppo71
Founding Member
I would say Mike Davies quotes in this article have been copied and pasted from another article regarding loihiGood afternoon,
What I find rather interesting, if that's the right word is in the attached link below, that's primarily focused on us,
Brainchip's latest offering AKIDA PICO, how does Mike Davies (Intel) get quoted, as if he's the spiking neural network guru in
an article about us....can you reference any recent Intel articles where key Brainchip staff (Peter or Anil) get asked to comment
within a competitors new product article....maybe I'm just moaning out loud, but I'm pretty sure our CTO would never be drawn
into comment on other companies news articles....just saying......
Brain-like Computers Tackle the Extreme Edge
Start-up BrainChip announces a new chip design for a milliwatt-level AI inference
Tech
and have nothing at all to do with Akida.
Love to be wrong but.
SERA2g
Founding Member
I highly doubt the author asked for that quote in relation to the article for Akida Pico.Good afternoon,
What I find rather interesting, if that's the right word is in the attached link below, that's primarily focused on us,
Brainchip's latest offering AKIDA PICO, how does Mike Davies (Intel) get quoted, as if he's the spiking neural network guru in
an article about us....can you reference any recent Intel articles where key Brainchip staff (Peter or Anil) get asked to comment
within a competitors new product article....maybe I'm just moaning out loud, but I'm pretty sure our CTO would never be drawn
into comment on other companies news articles....just saying......
Brain-like Computers Tackle the Extreme Edge
Start-up BrainChip announces a new chip design for a milliwatt-level AI inference
Tech
The quote from Davies would be in relation to an entirely separate conversation. The author is repurposing it for this article. It's lazy journalism, happens all the time.
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