DomEngelhardt

Swiss Golf / Golf Professional / Golf Coach

[BrainChip @BrainChip_inc]

Nobody asks a wearable chip for more TOPS. They ask for more battery life.

AKD1500 M.2 Card: 250mW typical, 800 Effective GOPS (INT4), M.2 2230. Built for always-on sensing and at-sensor inference, not benchmark bragging rights.

Specs below.
https://t.co/avEqpKcGOS

[BrainChip @BrainChip_inc]

AKD1500 is now discoverable and design-ready inside Supplyframe's schematic workflow. What that means for eval time is worth a read.

https://t.co/zXi9XDUhEW

[BrainChip @BrainChip_inc]

Thanks to Kevin D. Johnson, Field CTO – HPC + AI at @IBM, for the demo at Microelectronics US 2026 show featuring Akida and IBM Spectrum Symphony. Neuromorphic AI meets enterprise AI. @computeontology

[BrainChip @BrainChip_inc]

Made it official: our launch announcement for the AKD1500 M.2 Card is live.

Full press release → https://t.co/fLtn4zM2YG

[BrainChip @BrainChip_inc]

The AKD1500 M.2 Card is available to order right now.

Standard M.2 form factor, neuromorphic inference on board. No waitlist, no beta — order today → https://t.co/avEqpKcGOS

[BrainChip @BrainChip_inc]

Plug in. Power on.

The AKD1500 M.2 Card is live — neuromorphic edge AI that drops into any standard M.2 slot. No cloud, no redesign.

Full specs → https://t.co/iBxemfREu9

[BrainChip @BrainChip_inc]

📡 The Akida Communication Reference Platform webinar is up now.

Real-time RF classification. On-device. Under 1 watt. Watch the full session below 👇

[BrainChip @BrainChip_inc]

⏰ Still not registered? You've got until tomorrow morning.

RF modulation classification. On-device. Under 1 watt. No cloud. ⚡

📺 Catch it live on X, LinkedIn, or Discord — July 23, 10AM PT.

Link below 👇
https://t.co/AunGPVdV7C

[BrainChip @BrainChip_inc]

Most "edge AI" chips just move the power problem from the cloud to your device.

AKD1500 doesn't. Event-driven, sub-watt, and it's not a prototype anymore, production units are shipping to defense and wearable customers right now.

https://t.co/ITfKK3PYHT

[BrainChip @BrainChip_inc]

BrainChip's AKD1500 neuromorphic processor is coming to the @Celus_io Design Platform.

This partnership means engineers building smart, low-power devices will be able to design with the AKD1500 from day one, guided every step of the way by CELUS's platform.

Full details in the link below.

https://t.co/UlIp5mrboJ

[BrainChip @BrainChip_inc]

A sub-$40 AI chip? @ElectronicDesgn's William G. Wong put our AKD1500 NPU under the microscope — 800 effective GOPS at 1 mW/GOPS, small enough to balance on a fingertip.

 📖 Read More: https://t.co/ypXBzdxGlG

[DomEngelhardt @DomenicEngelha2]

@sillan421 @MIAM_Schwan @BrainChip_inc Any idea why?

[BrainChip @BrainChip_inc]

GPU-based RF classifiers: 50W+. Akida: <1W. One fits a UAV. One doesn't.

https://t.co/8Cqeeczly4

#LowSWaPC #DefenseTech

[BrainChip @BrainChip_inc]

The spectrum is crowded. Contested. And your classifier needs to work where the noise is worst — on-device, sub-millisecond, no cloud.

🔗 https://t.co/8Cqeeczly4

#RFClassification #EdgeAI

[BrainChip @BrainChip_inc]

Radar can tell you something is there. It can't tell you what it is.

BrainChip's neuromorphic AI closes that gap. Bird vs drone. Decoy vs payload. Real time. Under one watt.

Max Maxfield breaks it down:

🔗 https://t.co/xKEZk66QLo

#AKD1500 #NeuromorphicAI #EdgeAI #BrainChip

[MIAM @MIAM_Schwan]

Newly published BrainChip patent!

"Methods And Devices For Authenticating Individuals Based On Dynamic Facial Expressions And Device Motion"
@BrainChip_inc

[MIAM @MIAM_Schwan]

Here is another new BrainChip webpage ...
https://t.co/WNN1RuUvNe
Again, these are only excerpts. Click on the link to see the complete page.

@BrainChip_inc

[MIAM @MIAM_Schwan]

Have a look at BrainChip's new webpages ...
https://t.co/VqVWje84oC
Here are some excerpts ...

@BrainChip_inc

[BrainChip @BrainChip_inc]

We're going live July 23. Real-time RF classification demo, on-device, sub-watt. 

🔗 https://t.co/AunGPVdV7C

#BrainChip #EdgeAI

[BrainChip @BrainChip_inc]

Real-time RF signal intelligence. Under 1W. 20+ modulation types.

>85% accuracy. No cloud. Battery-powered. Great coverage from Neetika Walter at @IntEngineering

Read the full release → https://t.co/zRBZ8IYvc0

#AKD1500 #NeuromorphicAI #SIGINT #EdgeAI