BRN Discussion Ongoing
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MDhere
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yes yes yes , gotta love a bit of west side story!
Even if it did come out 2 weeks ago. it's still coming
smoothsailing18
Regular
As they are still relatively new partners my thinking is Sean likes to be the person whom starts these podcasts with new partners.
It is still a fair way off having any products available on the shelf by the sound of that conversation imo.
It's mostly CEO's they are talking to in the podcasts, it's fitting it's another CEO talking to them.
Isn't this a part of a CEO's job? I think it is, but over at the toilet they will likely slam Sean no matter what he does or doesn't.
The downrampers over there are negative no matter what, sad way of existing IMO and not someone I want to hang out with.
Fullmoonfever
Top 20
From the AFRL FY25 Facilities book.
I wonder whose 3UVPX board in the Edge (neuromorphic) space they've been playing with.
Suspect Bascom Hunter Snapcard as we know.
I wonder whose 3UVPX board in the Edge (neuromorphic) space they've been playing with.
Suspect Bascom Hunter Snapcard as we know.
MDhere
Top 20
huh? it was a 3 mill purchase. I never said i sold .S
So basically you sold because it went back to 21.8
Bravo
If ARM was an arm, BRN would be its biceps💪!
I asked ChatGPT about V2X technology and where Qualcomm, Valeo and BrainChip might intersect in future in this area
ChatGPT's Response:
Qualcomm’s V2X platforms deliver low latency communications, which are great for time-sensitive messaging—but they’re not designed for ultra‑low latency neuromorphic inference like BrainChip’s Akida+TENNs.
Qualcomm definitely brings strong low-latency communications and general AI via Hexagon DSPs, but does not cover the ultra-efficient event-driven inferencing required for edge neuromorphic processing like TENNs. Instead, Qualcomm and BrainChip are complementary, not overlapping—making their partnership (direct or via Valeo) a strategic win.
Valeo develops ADAS and parking systems (e.g., Park4U®) hosted on Qualcomm’s Snapdragon Ride platform—a scalable automotive SoC family optimized for vision processing and sensor fusion safestocks.co.uk+13iot-automotive.news+13TelecomDrive+13.
In November 2023, Valeo and Qualcomm signed an MoU to co-develop connected systems for 2- and 3-wheeler vehicles in India, combining Qualcomm Snapdragon Digital Chassis solutions with Valeo’s telematics, displays, sensors, and cybersecurity Qualcomm+4Valeo+4Automotive World+4.
Yes, Valeo’s ADAS controllers—including Park4U® and domain controllers like in BMW’s Neue Klasse—run on Snapdragon Ride SoCs .
These SoCs support high-performance sensor fusion and are built for automotive-grade safety and functionality.
In short: Qualcomm’s Snapdragon Ride powers Valeo’s ADAS/V2X controllers. They work closely together—and with Qualcomm’s V2X expansion, Valeo’s recent 5G-V2X demo is a logical extension. Adding BrainChip to the mix would bring neuromorphic edge intelligence to this robust foundation in parsing real-time sensor and V2X data.
ChatGPT's Response:
Qualcomm’s V2X platforms deliver low latency communications, which are great for time-sensitive messaging—but they’re not designed for ultra‑low latency neuromorphic inference like BrainChip’s Akida+TENNs.
What Qualcomm Offers (V2X Context)
- Qualcomm’s C‑V2X/5G NR-V2X chipsets (e.g., 9150, Snapdragon Auto 5G modem-RF) focus on:
- Reliable direct messaging between vehicles, infrastructure, phones, etc. Telecom Trainer+13Qualcomm+13eenewseurope.com+13Telecom Trainer+3Qualcomm+3Qualcomm+3
- Low-latency packet transfer, optimized for collision warnings and mobility use cases.
- Evolution into 5G NR-V2X (Rel‑16/18) for higher throughput and enhanced latency. Telecom Trainer+8Qualcomm+8Qualcomm+8
Qualcomm & AI: Edge, Not Neuromorphic
- Qualcomm’s X85/82 modems feature AI data traffic engines and network‑edge NPU cores (e.g., up to 40 TOPS) WikipediaMobile World Live
- Their Hexagon DSP/NPU accelerators (in Snapdragon chips) deliver on-device AI for vision, audio, and general inference tasks Qualcomm+14Wikipedia+14Wikipedia+14
- Zeroth, their 2015 brain‑inspired software, signals early interest in event‑based approaches Wikipedia
Comparison: Qualcomm vs. Akida+TENNs
| Feature | Qualcomm C‑V2X / Hexagon DSP | BrainChip Akida + TENNs |
|---|---|---|
| Latency | Low-latency packet processing; not event-driven inference | Ultra-low latency, event-based temporal processing |
| Power Efficiency | Optimized for general inference, moderate power | Exceptionally low power (<mW), ideal for SWaP-critical systems |
| AI Model Style | CNNs, DNNs, traffic optimization; floating/integer precision | Spiking, state-space, event-driven; integer precision |
| Use Cases | V2X messaging; on-device vision/audio | Sensor fusion, gesture detection, radar signal classification |
Could Qualcomm Compete with Akida?
- Qualcomm can handle low-latency messaging and general AI, but lacks neuromorphic temporal processing.
- It’s unlikely Qualcomm’s V2X will match Akida+TENNs’ edge efficiency and event-based inference.
Implications for Collaboration and Market Strategy
- Qualcomm picks the low-latency messaging layer; BrainChip fills the inference gap.
- Valeo (and others) combining Qualcomm’s V2X communications with BrainChip’s edge AI would yield better sensor fusion and situational awareness.
- Expect future V2X systems to blend both—Qualcomm for connectivity, BrainChip for real-time inference on sensor data.
Summary
Qualcomm definitely brings strong low-latency communications and general AI via Hexagon DSPs, but does not cover the ultra-efficient event-driven inferencing required for edge neuromorphic processing like TENNs. Instead, Qualcomm and BrainChip are complementary, not overlapping—making their partnership (direct or via Valeo) a strategic win.
How Qualcomm & Valeo Partner on V2X & ADAS
1. ADAS Domain Controllers on Snapdragon Ride
Valeo develops ADAS and parking systems (e.g., Park4U®) hosted on Qualcomm’s Snapdragon Ride platform—a scalable automotive SoC family optimized for vision processing and sensor fusion safestocks.co.uk+13iot-automotive.news+13TelecomDrive+13.
- Valeo’s ADAS controller for BMW’s Neue Klasse EVs uses Snapdragon SoCs Qualcomm+3Valeo+3TechCrunch+3.
- Park4U® features multimodal sensors: cameras, ultrasonic, radar/lidar, all processing happening on Qualcomm’s platform Valeo+11iot-automotive.news+11TelecomDrive+11.
2. Extended Collaboration (MoU) for New Mobility
In November 2023, Valeo and Qualcomm signed an MoU to co-develop connected systems for 2- and 3-wheeler vehicles in India, combining Qualcomm Snapdragon Digital Chassis solutions with Valeo’s telematics, displays, sensors, and cybersecurity Qualcomm+4Valeo+4Automotive World+4.
3. V2X Integration Possibility
- Valeo demoed 5G‑V2X direct tech recently Qualcomm+4Valeo+4GreyB+4.
- Qualcomm, through its acquisition of Autotalks in June 2025, has boosted its V2X portfolio and now integrates those capabilities into the Snapdragon Digital Chassis TelecomDrive+6Qualcomm+6GreyB+6.
Is It Using Snapdragon Ride?
Yes, Valeo’s ADAS controllers—including Park4U® and domain controllers like in BMW’s Neue Klasse—run on Snapdragon Ride SoCs .
These SoCs support high-performance sensor fusion and are built for automotive-grade safety and functionality.
Summary
- Qualcomm ➝ provides connectivity (4G/5G, C‑V2X, now via Autotalks), and compute (Snapdragon Ride).
- Valeo ➝ integrates sensors and software, deploying them on Snapdragon hardware.
- Together, they enable assisted driving, parking automation, and now emerging V2X/5G architectures.
Implications for BrainChip
- Qualifier: Valeo + Qualcomm handle communications and general compute.
- Opportunity: BrainChip could augment these systems with ultra-low-power, event-based inference using Akida + TENNs. For example, neuromorphic processing could complement high-speed V2X messaging by improving sensor-level decision-making (e.g., pedestrian detection).
- Strategic Fit: A future tri-party integration—Qualcomm (communications & compute), Valeo (sensors/software), BrainChip (edge AI)—would yield a powerful, multi-layered mobility platform.
In short: Qualcomm’s Snapdragon Ride powers Valeo’s ADAS/V2X controllers. They work closely together—and with Qualcomm’s V2X expansion, Valeo’s recent 5G-V2X demo is a logical extension. Adding BrainChip to the mix would bring neuromorphic edge intelligence to this robust foundation in parsing real-time sensor and V2X data.
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