Thank you, Semiconductor Australia. CEO Sean Hehir presented to a room of industry, government and investment leaders, and our booth showcased BrainChip products. 

The mood was energy and excitement about the industry’s bright future. 

Thanks to everyone who stopped by.

See ge: brainchip.com/upcoming-event…
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💤 Pinned GPU, tiny model, mostly idle. Sound familiar?

Our CPO on where a pool of Akida devices pays off beside your CPU and GPU: always-on streams screened at low power, GPU cued only on events.

📖 Read the blog: bit.ly/4spMW91
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AKD1500 SPI is now available in the BrainChip store.

Single chips or 5-packs, ready to pair with your existing MCU over SPI.

Learn More: bit.ly/47vO7tZ
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Introducing the AKD1500 SPI Edge AI Co-Processor.

Always-on AI with on-chip learning for MCU-based products, over a standard SPI interface. 

Keep your MCU. Add the AI.

Read the Announcement:
bit.ly/4z8TsDC
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“You can’t do everything in the data center.”

Sean Hehir on @ausbiztv Australia on why AI is moving to the edge, and why Sequora runs both Transformers and SSMs while we bet on SSMs long term.

Watch the Full interview:
bit.ly/4zOembg
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Tomorrow in Sydney: edge AI that doesn’t just recognize, it understands and responds.

Sean Hehir is presenting and joining a panel at Semiconductor Australia, and the team is on the expo floor to talk Akida and Sequora.

Details below.
bit.ly/4zBlrM6
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📦 AI hardware doesn’t have a math problem. It has a delivery problem.

Sequora starts from one question: what should you actually accelerate?

📖 Read the blog: bit.ly/4yyKvm1
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🔋 Your biggest chip is doing the smallest job.

Watching a sensor all day to confirm nothing happened shouldn’t need the big processor awake. Give that job to a small sensing brain and let the big one sleep.

📖 Read the blog: bit.ly/3UwrcM7
#EdgeAI
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🔋 Generative AI in a wearable is a memory problem, not a compute problem.

Attention cache grows with every token, and memory traffic sets the power ceiling on a battery.

BrainChip Sequora™ IP holds history in a fixed-size state.

Link below 👇
bit.ly/4B1M12l
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BrainChip retweeted
Sponsored Podcast - Embedded Executive LIVE at @embedded_USA: @BrainChip_inc

Rich Nass and Steve Brightfield, Chief Product Officer at brainchip, talk tech at embedded world North America #AI #ewna
embeddedcomputing.com/technology/ai-…
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📣 Today, we announced BrainChip Sequora™ Core IP, a generative AI edge processor licensed as verified RTL.

🔋 Wearables: generative AI inside a battery budget.
📡 Defense: signal processing and generative AI on one core, no cloud.

Full announcement: bit.ly/3VNHAYS
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Thanks Raúl Parada and @CttcTech for putting Akida into a year-long wildfire detection simulation.

Modeled result: a solar drone with Akida logged 4,200 patrol hours and ran 87% on sunlight. Simulation, and the paper is upfront about it.

Link below.
doi.org/10.1016/j.iot.…
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BrainChip is proud to sponsor Semiconductor Australia in Sydney on 22 October.

CEO Sean Hehir is presenting and joining a panel, and our booth shows IP, silicon, boards and reference platforms you can access today.
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Hear the failure before it stops the line.

AkidaTag runs vibration anomaly detection AI on the machine itself. No cloud round trip. Nothing to stream.

Pre-orders open.
bit.ly/4dedJii
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📄 A new FOI survey on neuromorphic radar and radio, by Hamrell, Sjögren and Ovrén, names Akida among commercial chips and cites our AFRL radar work. Worth a read 👇
doi.org/10.1088/2634-4…
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📡 Ground control is not a real-time system. In deep space the round trip is minutes to hours.

So the spacecraft decides. Detect, extract, classify, discard. Terabytes in, a small payload out.

📖 Read Dr. Jonathan Tapson's blog
bit.ly/4AOTcLr
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Always-on tire monitoring, processed at the wheel ⚡

Akida Pico IP classifies tire pressure and vehicle load in a single streaming pass, with inference in the microwatt range.

Architecture, integration options, and validation results in our new white paper

Link below👇
bit.ly/4i7qgqp
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AkidaTag learns you. Not the other way around.

On-device learning in a tag about the size of a key fob. Prototype your own activity recognition and nothing leaves the device.

Pre-orders open.
bit.ly/4dedJii
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Everyone's racing to add more compute to the edge. We think that's the wrong axis.

Our CEO, Sean Hehir, gets into why on this week's EE Journal Fish Fry, event-based processing means Akida only computes when something actually changes, not nonstop.

bit.ly/4ypoZkl
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You can't always be there.
Prototype something that can.

AkidaTag runs motion AI on the device, worn as a pendant, on the wrist or arm.

No camera. No cloud.
Pre-orders open.
bit.ly/4dedJii
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