Fullmoonfever
Top 20
I'm sure probs missed this being posted as been busy with work and skimming posts at times, but we pushing Akida Gen 2 with Nandan giving a talk at the Embedded Vision Summit May 22-24.
We are a Gold sponsor and also exhibiting in conjunction with Nandans' presso.
embeddedvisionsummit.com
embeddedvisionsummit.com
Date: Tuesday, May 23
Start Time: 16:50
End Time: 17:20
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining. We will demonstrate Akida’s compelling performance and extreme energy efficiency on complex models and explain how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. We’ll also show how Akida supports low-power implementation of vision transformers, and we’ll introduce the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.
We have some mates there as well like Edge Impulse being a Premier sponsor and doing some presoos including FOMO-AD plus ARM, Renesas and some "dot" companies exhibiting
We are a Gold sponsor and also exhibiting in conjunction with Nandans' presso.

2025 Embedded Vision Summit | Computer Vision and AI Conference
The best conference for those working to solve real-world problems by developing products enabled with computer vision, visual AI, sensor data, machine learning and other edge AI technology.


Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida - 2023 Summit
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with […]

Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida
Date: Tuesday, May 23
Start Time: 16:50
End Time: 17:20
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Akida is a fully digital, neuromorphic, event-based AI engine that offers unique on-device learning abilities, minimizing the need for cloud retraining. We will demonstrate Akida’s compelling performance and extreme energy efficiency on complex models and explain how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data. We’ll also show how Akida supports low-power implementation of vision transformers, and we’ll introduce the Akida developer ecosystem, which enables both AI experts and newcomers to quickly deploy disruptive edge AI applications that weren’t possible before.
Track
We have some mates there as well like Edge Impulse being a Premier sponsor and doing some presoos including FOMO-AD plus ARM, Renesas and some "dot" companies exhibiting