BRN Discussion Ongoing
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I am a bit confused now as to whether or not there is any AI involved in the technology inside the Nuance Audio frames, since the Wired article @Diogenese shared claims there isn’t, although an interview from CES 2025 (see video from 5 min or the transcript) suggested to me that the software running on the glasses “capturing the sound, cleaning the sound” was something similar to the audio denoising algorithms BrainChip has been demoing?
Nuance Audio Glasses: Exclusive CES 2025 interview | Harley Street Hearing
Matthew Allsop discusses the groundbreaking Nuance Audio glasses—stylish eyewear with completely invisible hearing aids built into the frame.harleysthearing.co.uk
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Anyway, regardless of whether or not there are any AI algorithms in the arm of the Nuance Audio hearing glasses, Steve Brightfield may technically still have referred to EssilorLuxottica when mentioning in his CES interview that he had “talked to some manufacturers that have glasses, where they put microphones in the front and then AI algorithms in the arm of the glasses” and confirming to Don Baine that he had actually seen manufacturers on the CES 2025 floor promoting this technology…
Just prior to CES 2025, EssilorLuxottica had announced the acquisition of Pulse Audition, a French start-up that uses AI-driven noise reduction and voice enhancement embedded in their eyeglasses (“Pulse Frames”).
Their algorithms are designed to run only on the Pulse Frames.
Title: EssilorLuxottica acquires Pulse Audition
EssilorLuxottica takes a leap forward in its innovation journey with the acquisition of Pulse Auditionwww.essilorluxottica.com
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EssilorLuxottica Acquires Pulse Audition Glasses Tech
EssilorLuxottica, the global leader in eyewear that has developed Nuance Audio Glasses, has announced the purchase of Pulse Audition, a company that has developed AI software for its audio glasses, Pulse Frames.www.hearingtracker.com
EssilorLuxottica Acquires Pulse Audition's Audio Glasses Tech
The acquisition brings Pulse Frames' AI-driven technology and audio signal processing—as well as a team of highly skilled professionals—into EssilorLuxottica's portfolio, which includes its new Nuance Audio Glasses.
Written by
Karl Strom
Published on
EssilorLuxottica, Milan, Italy, the global leader in eyewear and creator of Nuance Audio Glasses, has announced the purchase of Pulse Audition, a French company that has developed AI software for a hearing glasses product, called Pulse Frames. Pulse Audition, based in Vallauris (near Cannes), France, is a startup that uses AI-driven noise reduction and voice enhancement software embedded in eyeglasses to enable individuals with hearing loss to better comprehend speech, even in challenging, noisy environments.
EssilorLuxottica is introducing its Nuance Audio glasses which feature advanced speech-in-noise software and an open-ear amplification system for people with perceived mild to moderate hearing loss. Nuance hopes to gain FDA approval for the product in the first half of 2025.
Nuance Audio Glasses use directional microphones and advanced speech-in-noise processing software to transmit sound to the open ear.
According to EssilorLuxottica, the acquisition brings Pulse Audition’s proprietary technologies, expertise in AI software development, embedded AI, and audio signal processing—as well as a team of highly skilled professionals—into EssilorLuxottica's portfolio. By integrating these capabilities, the Group plans to complement its exisiting proprietary hardware and software offerings, further elevating the quality of its products and solutions. The move builds on the Group’s strategic focus on hearing solutions, following its acquisition of Nuance Hearing in 2023.
“We continuously explore market opportunities in AI and big data, and this acquisition in France— one of our home countries— is a perfect fit with our long-term goals and investments in hearing solutions,” noted EssilorLuxottica Chairman & CEO Francesco Milleri and Deputy CEO Paul du Saillant in a press statement. “It reinforces our commitment to advancing the next category of computing platforms, also in Europe. We are excited to welcome this talented team in our Group and look forward to further unlocking the enormous potential in the underserved hearing space.”
HearingTracker Founder and Audiologist Abram Bailey, AuD, and Audiologist Matthew Allsop have favorably reviewed Nuance Audio glasses, along with several other experts in the field. It appears to be a promising new form factor for people seeking help for milder hearing loss and a discrete solution for hearing in noise. Both companies are displaying their products at this year's CES 2025 in Las Vegas on January 7-10 (see HearingTracker's CES 2025 preview).
I haven't got the tech specs, but it seems that Pulse Audition's Pulse Frames is software:
"purchase of Pulse Audition, a French company that has developed AI software for a hearing glasses product, called Pulse Frames. Pulse Audition, based in Vallauris (near Cannes), France, is a startup that uses AI-driven noise reduction and voice enhancement software embedded in eyeglasses to enable individuals with hearing loss to better comprehend speech, even in challenging, noisy environments. "
Using software AI is unlikely to improve the battery life. So have EssilorLuxottica bought a white elephant? ... if they'd just waited till after CES 2025 ...
Sure. but there is still news that could be released as non price sensitive that could help to support the share price....
It's absolutely in the best interest of the company (and shareholders) for BRN to release both price sensitive and non price sensitive ASX announcements, just like other companies, but Antonio made it clear at the AGM, that he is the one blocking ASX announcements.
There was a question from a shareholder about why we don't make announcements via the ASX.
This is what Antonio said at the AGM....
---------------------------------------------------
We, of course, we're all looking for material announcements and we wanted to be meaningful. Of course, these are significant players, some of these technology partners, you're partnering with their insignificant players within the industry - non price sensitive and price sensitive.
And your comment on non-price sensitive announcements is noted.
And it is an active discussion at the board in terms of how we can fulfill non price sensitive announcements. That message has been heard. Look, I'll fall on the sword, right? Given the history of the company, I have swung whoops, apologies, I have swung the pendulum the other way in terms of being conservative, right? I don't want to get the company into trouble. I'm being too conservative.
I'll take the heat. Please shoot all arrows at me. Not my fellow board members, not Sean, that is Antonio. I'm too conservative, right?
I'm gonna fix that. I will fix that
________________________________________
Let's see if they do fix it .....
Fullmoonfever
Top 20
Worth a listen imo. Not sure if prev posted but podcast from a couple of months ago talking to Tony, Jon, Rudy, Kris & Olivier.
A lot on TENNS in its workings and performances and some other snippets.
A lot on TENNS in its workings and performances and some other snippets.
equanimous
Norse clairvoyant shapeshifter goddess
For this question its best to ask Ra.
In 2026, the stars will weave a celestial tapestry above the Great Pyramids of Giza, aligning with their ancient geometry during the equinoxes on March 20 and September 22, when day and night balance perfectly. As the sun rises, kissing the pyramids’ edges, Orion’s Belt—Alnitak, Alnilam, and Mintaka—will hover in alignment with the three pyramids, mirroring their layout as seen by the ancients. Sirius, the brightest star, may trace a path echoing the pyramids’ southern shafts, while the equinox sun casts precise shadows, binding earth and cosmos in a timeless celestial embrace.
Pom down under
Top 20
Jacob Kiraz
Member
In for the longhaul and a US Market listing
It is imminent. Watch the financials
#embeddedvision #riscv #ai #edgecomputing | Andes Technology
We’re live at the Embedded Vision Summit at the Santa Clara Convention Center! Stop by the Andes booth today to learn how our high-performance, low-power RISC-V CPU IP is powering the next generation of AI and computer vision at the edge. #EmbeddedVision #RISCV #AI #EdgeComputing
Nice to see Brainchip next door to our new partner Andes. Check out the last photo.
supersonic001
Regular
It was a busy week at the Embedded Vision Summit in Santa Clara where the… | BrainChip
It was a busy week at the Embedded Vision Summit in Santa Clara where the BrainChip team met with innovators in computer vision, AI, and edge computing to explore the latest advancements in embedded vision technology. The BrainChip booth contained multiple demos showcasing how Akida technology...
Pom down under
Top 20
Hands up if you think these 3 are over here from
hot crapper to put all the negatives post up.
It was a busy week at the Embedded Vision Summit in Santa Clara where the… | BrainChip
It was a busy week at the Embedded Vision Summit in Santa Clara where the BrainChip team met with innovators in computer vision, AI, and edge computing to explore the latest advancements in embedded vision technology. The BrainChip booth contained multiple demos showcasing how Akida technology...www.linkedin.com
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Bravo
If ARM was an arm, BRN would be its biceps💪!
I am seriously beginning to wonder if this new AI device being developed by Sam Altman and Jony Ive could operate as an edge device, potentially incorporating neuromorphic processors like our very own Akida.
The upcoming AI device, expected to launch in 2026, is envisioned as a compact, screenless accessory designed to be unobtrusive and context-aware. It's intended to function alongside existing devices like smartphones and laptops, rather than replacing them. This suggests a focus on local processing capabilities. By processing data locally, the device could offer faster responses, enhanced privacy, and reduced reliance on cloud connectivity.
Have a listen to the video which I set to play when Sam Altman Altman explains how we currently interact with ChatGPT and he says something along the lines that the new device "deserves something much better" than having to wait for it to go up to the cloud like traditional devices.
As we all know, Akida's architecture allows for on-device learning and real-time data processing, making it ideal for applications requiring immediate responses without cloud dependency.
The specific technical details about the device are still under wraps, but the emphasis on unobtrusive design, real-time context awareness, and potential for local processing sounds like it aligns very well with the capabilities of BrainChip's Akida IMO.
Maybe just wishful thinking on my behalf. Time will tell.
iPhone design guru and OpenAI chief promise an AI device revolution
Sam Altman and Jony Ive say mystery product created by their partnership will be the coolest thing ever
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Jacob Kiraz
Member
Nah mate I'm being serious,
We never have announcements,
Where going to list in America and delist from the ASX
We have to watch the financials because we hear nothing, Probably 2027 onwards for mine
Jacob Kiraz
Member
Pity Tony Dawe doesn't respond to emails, probably trying to keep his job and saying yes to Sean more oftenBrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit
Design And Reuse - Catalog of IP Cores and Silicon on Chip solutions for IoT, Automotive, Security, RISC-V, AI, ... and Asic Design Platforms and Resourceswww.design-reuse.com
Think this link will work, but anyway, you have to agree that it's great to see Dr. Tony up and about promoting the true benefits that
our company's technology has over the opposition.......can anyone produce revenue figures from any other company (worldwide) whom
specializes in "real edge ai"......I'm sure we aren't alone, as bloody frustrating as it is!
TICKETY TOCKETY............keep flying the flag Dr. Tony........I certainly appreciate it, thank you.
Tech.
Pom down under
Top 20
Well 18 months isn’t that far away unless your a dog or cat
Bravo
If ARM was an arm, BRN would be its biceps💪!
View attachment 85074
I am seriously beginning to wonder if this new AI device being developed by Sam Altman and Jony Ive could operate as an edge device, potentially incorporating neuromorphic processors like our very own Akida.
The upcoming AI device, expected to launch in 2026, is envisioned as a compact, screenless accessory designed to be unobtrusive and context-aware. It's intended to function alongside existing devices like smartphones and laptops, rather than replacing them. This suggests a focus on local processing capabilities. By processing data locally, the device could offer faster responses, enhanced privacy, and reduced reliance on cloud connectivity.
Have a listen to the video which I set to play when Sam Altman Altman explains how we currently interact with ChatGPT and he says something along the lines that the new device "deserves something much better" than having to wait for it to go up to the cloud like traditional devices.
As we all know, Akida's architecture allows for on-device learning and real-time data processing, making it ideal for applications requiring immediate responses without cloud dependency.
The specific technical details about the device are still under wraps, but the emphasis on unobtrusive design, real-time context awareness, and potential for local processing sounds like it aligns very well with the capabilities of BrainChip's Akida IMO.
Maybe just wishful thinking on my behalf. Time will tell.
View attachment 85075
iPhone design guru and OpenAI chief promise an AI device revolution
Sam Altman and Jony Ive say mystery product created by their partnership will be the coolest thing everwww.theguardian.com
Seems ChatGPT agrees that we're in with a pretty good chance too. That is IF Altman and Ive’s new device is meant to operate continuously, privately, and intelligently at the edge without cloud dependence.
The final recommendation states "If the product blends all three functions — which seems likely — BrainChip Akida is the most versatile choice today due to its:
- Commercial availability
- On-chip learning
- Ability to handle both audio and vision"
To be honest though, I think that if we were going to be a contender for this new device, I would have expected to sense much more of an excited and confident "vibe" emanating from the Board at the recent AGM. I mean they're expecting it to ship 100 million of these devices in 2026 if I'm not mistaken.
ChatGPT said:
Yes, several other emerging technologies could potentially power a compact, privacy-focused, cloud-independent AI device like the one being developed by Sam Altman and Jony Ive, offering similar or complementary capabilities to BrainChip’s Akida neuromorphic processor. Here are the main contenders:
1. Mythic Analog Matrix Processors (AMP)
- How it works: Uses analog computing-in-memory to perform neural network operations directly where data is stored, minimizing data movement.
- Strengths:
- Very low power consumption
- High-speed processing suited for edge AI
- Compact form factor
- Use case: Ideal for smart sensors, AR/VR glasses, and real-time voice/image processing
2. GrAI Matter Labs – GrAI VIP
- Type: Brain-inspired processor using sparsity-driven processing
- Features:
- Event-driven computation
- Prioritizes only relevant data (like Akida)
- Optimized for real-time AI at the edge
- Strengths:
- Ultra-low latency
- Energy-efficient
- Use case: Robotics, autonomous systems, wearables
3. Edge TPUs (Google Coral)
- Architecture: Custom ASICs optimized for TensorFlow Lite models
- Strengths:
- Easy integration with Google AI ecosystem
- Real-time inferencing with low power draw
- Limitations:
- More rigid; not capable of on-device learning (unlike Akida)
- Better suited for inferencing than training
4. Syntiant NDP Series (Neural Decision Processors)
- Type: Deep learning processors designed for always-on applications
- Strengths:
- Consumes microwatts of power
- Highly efficient for audio and sensor processing
- Tiny form factor (suitable for earbuds, wearables)
- Use case: Wake-word detection, voice commands, health monitoring
5. IBM NorthPole
- Type: Advanced neuromorphic architecture integrating memory and compute
- Highlights:
- Breaks von Neumann bottleneck
- Designed for high-throughput, low-latency AI at edge
- Status: Still in research/prototype stages
6. Intel Loihi 2 (Neuromorphic)
- Advantages:
- Second-gen neuromorphic chip
- Supports learning on-chip
- Better scalability and flexibility than Loihi 1
- Use case: Real-time adaptation, robotics, industrial applications
7. Tenstorrent (RISC-V + AI)
- Founded by Jim Keller, their chips combine traditional processing with AI accelerators.
- Edge-ready options: Though mostly datacenter-focused now, Tenstorrent has roadmap items for edge deployment using RISC-V-based inference.
Summary Table:
| Technology | Type | On-Device Learning | Power Efficiency | Maturity | Suitable Use Case |
|---|---|---|---|---|---|
| BrainChip Akida | Neuromorphic |  | | Commercial | Audio, vision, always-on inference |
| Mythic AMP | Analog compute |  | | Early stage | Vision, industrial sensors |
| GrAI VIP | Sparse compute | | | Pre-commercial | Real-time robotics, AR |
| Google Edge TPU | ASIC | | | Commercial | Voice/image inference |
| Syntiant NDP | Neural DSP | | | Commercial | Audio, keyword spotting |
| Loihi 2 | Neuromorphic | | | Experimental | Cognitive tasks, adaptive systems |
| IBM NorthPole | Neuromorphic | | | Research | General edge AI |
Final Thought:
If Altman and Ive’s device is meant to operate continuously, privately, and intelligently at the edge without cloud dependence, then BrainChip Akida, GrAI VIP, or Loihi 2 would be top candidates—especially if adaptive, real-time learning is a core feature. If it’s more focused on inference-only tasks, Edge TPU or Syntiant NDPs could be practical alternatives.Let me know if you'd like a recommendation based on a specific function (e.g. voice assistant, vision processing, real-time interaction).
4o
You said:
yes pleaseChatGPT said:
Great — here's a tailored recommendation based on three likely functions that Sam Altman and Jony Ive’s device might emphasize, considering their vision of a screenless, wearable, real-time AI companion:
1. Voice Assistant / Natural Interaction (Always-On, Privacy-Preserving)
Best Choice: Syntiant NDP120
- Why:
- Ultra-low-power (microwatt-level) operation
- Always-listening capability without draining battery
- Supports multiple wake words and audio events
- Ideal for: Continuous voice interaction, like a whisper-quiet Siri that lives in your lapel
- Bonus: Commercially proven in smart earbuds and hearing aids
Alt Option: BrainChip Akida
- Slightly higher power but supports on-device learning — ideal if the device needs to learn your voice over time
2. Vision / Environmental Awareness (Object, Gesture, Emotion Recognition)
Best Choice: GrAI VIP or BrainChip Akida
- GrAI VIP:
- Optimized for real-time video inference
- Sparse data-driven — processes only what matters
- BrainChip Akida:
- Can detect gestures, objects, and visual patterns with low power
- Supports event-based cameras (mimics human eyes)
Alt Option: Mythic AMP
- Analog compute-in-memory gives efficient vision processing but is newer and more complex to integrate
3. Real-Time Learning and Adaptation (Personalization, Emotion AI, Cognitive AI)
Best Choice: Intel Loihi 2
- Why:
- True on-device learning and decision-making
- Designed for systems that evolve over time based on interaction
- Best for adaptive systems that change how they work depending on who’s using them
Alt Option: BrainChip Akida
- Supports incremental learning on-chip (no need for cloud updates)
Final Recommendation Based on Use Case Focus:
| Function | Top Tech Pick | Runner-Up |
|---|---|---|
| Voice assistant / audio AI | Syntiant NDP120 | BrainChip Akida |
| Environmental/visual awareness | GrAI VIP | BrainChip Akida / Mythic AMP |
| Personalized cognitive assistant | Intel Loihi 2 | BrainChip Akida |
If the product blends all three functions — which seems likely — BrainChip Akida is the most versatile choice today due to its:
- Commercial availability
- On-chip learning
- Ability to handle both audio and vision
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Yes it's worth listing to but 307 views since it was aired 2 months ago doesn't seem like a lot of interest, sadly.
EE Times isn't very popular it seems, just over 4k subscribers, likely computer freaks sitting in their mum's basement hacking whatever they can hack, LOL, and some BRN investors.
We need more exposure, much more.
BrainChip and Andes Technology are teaming up to accelerate edge AI… | RISC-V International
BrainChip and Andes Technology are teaming up to accelerate edge AI innovations on RISC-V platforms by integrating Andes’ RISC-V cores with BrainChip’s NPUs. The integration of Andes’ QiLai SoC and Voyager development board with BrainChip’s Akida AKD1500, which supports efficient, digital, and...
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