BRN Discussion Ongoing

manny100

Top 20
Just revisiting the Sean video with 'Stocks Down Under' in Oct'25.
From 5.18 mark Sean talks about 12 to 18 months ago customers being prepared to have a look at AKIDA and explore.
He says now clients are coming in with specific plans saying we know what we want.
At the 6.20 mark he talks about wearables models and engagements that are progressing very well - note his plural engagements. He said we can expect to see a lot of more activity in wearables.
Backs up Steve Brightfield's recent remarks.
6.50 mark. From here Sean addresses interest in Radar. Starting with defense. Most radar decades old and needs innovation. The second point he made concerning radar was mobility trend. Drones have changed everything about defense. More mobility around everything including soldiers, eg carrying 'things' - likely means small devices. Solutions include long battery life and no network activity. Brainchip leaning hard into 'mobile' solutions.
Working with some interesting clients on mobile radar solutions and expect us to push harder into that market.
From about 8.05. What can we expect in the next 12 to 18 months.
Tech advancements. Gen AI supporting LLMs on the Edge and " a very exciting configuration with world class break through performance" - built with customer interaction and feedback.
8.45 - Talks about commercial side. Chip orders and Gen 2 - "down the track with extensive evaluations with certain customers right now so look for some licencees on that as well"
Given Steve Brightfields very recent revealing interview and a look back a couple of months to Sean's video - link below) its all starting to come together - still early in the piece though but you can sense is all getting close.
 
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Diogenese

Top 20
Renesas has begun shipping R-Car X5H silicon samples, evaluation boards, and the RoX Whitebox SDK to selected customers and partners. The company noted that it plans to showcase AI-powered multi-domain demonstrations of the platform at CES 2026.

Renesas advances SDV roadmap with 3nm R-Car Gen 5 platform​

New Products | December 22, 2025
By eeNews Europe
AUTOMOTIVE SDV RENESASEMBEDDED DESIGN



Renesas Electronics has taken another step in its software-defined vehicle (SDV) strategy with the expansion of its fifth-generation R-Car platform, built around a new multi-domain automotive SoC and a broader end-to-end development environment. According to the company, the move is aimed squarely at accelerating the design of highly integrated, AI-driven vehicle architectures.


For eeNews Europe readers, the announcement is relevant because it highlights how leading silicon vendors are converging ADAS, infotainment, and gateway workloads onto a single, safety-capable compute platform. It also offers insight into how open software stacks and early silicon access are being used to shorten automotive development cycles.

3nm multi-domain compute for SDVs​

At the core of the platform is the R-Car X5H, the latest device in the Gen 5 R-Car family. According to Renesas, it is the industry’s first multi-domain automotive SoC manufactured on a 3nm process. The company indicates that the device is designed to run advanced driver assistance systems (ADAS), in-vehicle infotainment (IVI), and gateway functions concurrently on a single chip.

The company says the move to an advanced process node delivers up to 35% lower power consumption compared with previous 5nm solutions, while significantly increasing compute density. The SoC targets centralized SDV architectures, combining high performance with mixed-criticality support so that safety-related and non-safety workloads can coexist without compromise.


The R-Car X5H delivers up to 400 TOPS of AI performance, with the option to scale further using chiplet-based accelerators that can boost AI throughput by four times or more. Graphics performance reaches the equivalent of 4 TFLOPS, supported by a CPU complex of 32 Arm Cortex-A720AE cores and six Cortex-R52 lockstep cores with ASIL D capability, providing more than 1,000k DMIPS.

RoX Whitebox SDK targets faster development​

Alongside the new silicon, Renesas says it is expanding its R-Car Open Access (RoX) development platform with the RoX Whitebox Software Development Kit. The SDK is positioned as an open, scalable environment that integrates hardware, operating systems, middleware, and tools needed for next-generation SDV development.

The Whitebox SDK is built on Linux, Android and the XEN hypervisor, with additional support for AUTOSAR, EB corbos Linux, QNX, Red Hat and SafeRTOS through partners. Out of the box, developers can begin work on ADAS, L3/L4 autonomy, intelligent cockpit and gateway applications.

An integrated AI and ADAS software stack supports real-time perception and sensor fusion, while generative AI and large language models are intended to enable more advanced human–machine interfaces in future AI-driven cockpits, the company notes. The SDK also incorporates production-grade software from partners including Candera, DSP Concepts, Nullmax, Smart Eye, STRADVISION and ThunderSoft.

Sampling and demos

Renesas has begun shipping R-Car X5H silicon samples, evaluation boards, and the RoX Whitebox SDK to selected customers and partners. The company noted that it plans to showcase AI-powered multi-domain demonstrations of the platform at CES 2026.


eenews-europe.png
I

Hi TTM,


Back in Decemebr 2022, there was an announcement about Renesas taping out Akida IP:

https://brainchip.com/renesas-is-ta...etwork-snn-technology-developed-by-brainchip/

eeNews Europe — Renesas is taping out a chip using the spiking neural network (SNN) technology developed by Brainchip.​

Dec 2, 2022 – Nick Flaherty

This is part of a move to boost the leading edge performance of its chips for the Internet of Things, Sailesh Chittipeddi became Executive Vice President and General Manager of IoT and Infrastructure Business Unit at Renesas Electronics and the former CEO of IDT tells eeNews Europe.

This strategy has seen the company develop the first silicon for ARM’s M85 and RISC-V cores, along with new capacity and foundry deals.

“We are very happy to be at the leading edge and now we have made a rapid transition to address our ARM shortfall but we realise the challenges in the marketplace and introduced the RISC-V products to make sure we don’t fall behind in the new architectures,” he said.

“Our next move is to more advanced technology nodes to push the microcontrollers into the gigahertz regime and that’s where the is overlap with microprocessors. The way I look at it is all about the system performance.”

“Now you have accelerators for driving AI with neural processing units rather than a dual core CPU. We are working with a third party taping out a device in December on 22nm CMOS,” said Chittipeddi.

Brainchip and Renesas signed a deal in December 2020 to implement the spiking neural network technology. Tools are vital for this new area. “The partner gives us the training tools that are needed,” he said.


The original Renesas licence was for Akida1 IP, but by the end of 2022, TENNs would have been available for EAPs. Initially Renesas said they would use their in-house DRP for the heavy AI loads\ and relegate Akida to sweeping the swarf. They may be ruing that decision if they stuck to the plan.

TENNs has supplanted Transformers, which replaced LSTM which replaced RNN. This is a major advance in AI/NN.

Copied from elsewhere:

Update QuantizeML to version 0.18.0​

New features​

  • Introduced PleiadesLayer for SpatioTemporal TENNs on Keras
  • Keras sanitizer will now bufferize Conv3D layers, same as ONNX sanitizer. As a result, SpatioTemporal TENNs from both frameworks will be bufferized and quantized at once.
  • Dropped quantization patterns with MaxPooling and LUT activation since this is not supported in Akida
  • Dropped all transformers features

https://github.com/Brainchip-Inc/akida_examples/releases


Google developed Transformers (in 2017?) as the bee's knees for NLP (natural language processing).

https://www.freecodecamp.org/news/how-transformer-models-work-for-language-processing/

September 12, 2025/#Python

How Transformer Models Work for Language Processing​


If you’ve ever used Google Translate, skimmed through a quick summary, or asked a chatbot for help, then you’ve definitely seen Transformers at work. They’re considered the architects behind today’s biggest advances in natural language processing (NLP).

It all began with Recurrent Neural Networks (RNNs), which read text step by step. RNNs worked, but they struggled with long sentences because older context often got lost. LSTMs (Long Short-Term Memory networks) improved memory, but still processed words in sequence, slow and hard to scale
.

The breakthrough came with attention: instead of moving word by word, models could directly “attend” to the most relevant parts of a sentence, no matter where they appeared. In 2017, the paper Attention Is All You Need introduced the Transformer, which replaced recurrence with attention and parallel processing. This made models faster, more accurate, and capable of learning from massive amounts of text
.

TENNs may have the potential to make Transformers, LSTM, and RNN obsolete.

"Could be
Who knows?
There's something due any day
I will know right away soon as it shows
It may come cannonballing down through the sky
Gleam in it's eye
Bright as a rose
Who knows?
It's only just out of reach
Down the block, on a beach
Under a tree
I gotta feeling theres a miracle due
Gonna come true
"

Sondheim and Bernstein couldn't have said a truer word ...
 
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Diogenese

Top 20
Just revisiting the Sean video with 'Stocks Down Under' in Oct'25.
From 5.18 mark Sean talks about 12 to 18 months ago customers being prepared to have a look at AKIDA and explore.
He says now clients are coming in with specific plans saying we know what we want.
At the 6.20 mark he talks about wearables models and engagements that are progressing very well - note his plural engagements. He said we can expect to see a lot of more activity in wearables.
Backs up Steve Brightfield's recent remarks.
6.50 mark. From here Sean addresses interest in Radar. Starting with defense. Most radar decades old and needs innovation. The second point he made concerning radar was mobility trend. Drones have changed everything about defense. More mobility around everything including soldiers, eg carrying 'things' - likely means small devices. Solutions include long battery life and no network activity. Brainchip leaning hard into 'mobile' solutions.
Working with some interesting clients on mobile radar solutions and expect us to push harder into that market.
From about 8.05. What can we expect in the next 12 to 18 months.
Tech advancements. Gen AI supporting LLMs on the Edge and " a very exciting configuration with world class break through performance" - built with customer interaction and feedback.
8.45 - Talks about commercial side. Chip orders and Gen 2 - "down the track with extensive evaluations with certain customers right now so look for some licencees on that as well"
Given Steve Brightfields very recent revealing interview and a look back a couple of months to Sean's video - link below) its all starting to come together - still early in the piece though but you can sense is all getting close.
Hi manny,

I think that your post is reinforced by the supplanting of Transformers by TENNs. In particular, a better NLP technique will improve GenAI - "world class performance".

But TENNs is not a one-trick-pony. It provides the Midas touch to all AI applications.
 
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Gazzafish

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With all the talk about renases taping out a few years back and Sean’s current optimism, I wouldn’t be surprised if BRN are earning revenue /royalties right now. We’d never know, it might be via renases or even megachips. No announcement would be warranted as it’s an existing arrangement. First we might see of it would be the quarterly report due out late January. I’m just guessing based on no knowledge. DYOR
 
With all the talk about renases taping out a few years back and Sean’s current optimism, I wouldn’t be surprised if BRN are earning revenue /royalties right now. We’d never know, it might be via renases or even megachips. No announcement would be warranted as it’s an existing arrangement. First we might see of it would be the quarterly report due out late January. I’m just guessing based on no knowledge. DYOR
I love the optimism
We should all believe Sean as everything he has said so far has been so true to his word
Come on Brainchip let’s make this year one to remember
 
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