BRN Discussion Ongoing
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Tothemoon24
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Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware.
This demo showcases low-latency, high-efficiency performance as a script performs live inference on a video stream. Sokolov also highlights the DeGirum AI Hub—a cloud-based platform that allows developers to evaluate models and test deployments.
"We have integrated Akida into our PySDK and AI Hub." ... " running DeGirum’s PySDK application directly on BrainChip hardware"
So, on the PCIe board, the grey square below the asterisk is Akida
This is a nude Akida, without its flashy outer case. Bottom right is the characteristic chamfered corner. So is this from a new production run, or from the first engineering samples, or just an unboxed "commercial run" chip - or maybe 1500 (remembering that PCIe is not the mother board, so the CPU is on a different board)?
Here's a link to DeGirum's AI Hub:
https://www.prnewswire.com/news-rel...accelerate-edge-ai-development-302346154.html
SANTA CLARA, Calif., Jan. 13, 2025 /PRNewswire/ -- DeGirum®, a leader in edge AI software, announced the release of its AI Hub, an accessible evaluation platform designed to simplify AI prototyping and development at the edge. DeGirum's AI Hub enables developers to experiment with AI models for their applications. The platform supports a range of accelerators and application processors, including Hailo®, Intel®, MemryX®, BrainChip®, Rockchip®, and Google®.
"We are excited to launch our AI Hub which allows our customers to try many different industry leading AI processors and accelerators. 1000+ models are immediately available to try, with a wide range of algorithms and hardware solutions," said Bill Eichen, VP of Business Development at DeGirum.
DeGirum AI Hub
DeGirum's AI Hub enables rapid AI prototyping by providing access to hardware through an evaluation platform. The platform offers extensive model support, giving developers access to a diverse library of machine learning models to kickstart development. It features a model porting toolchain that converts training checkpoints into deployable models optimized for supported hardware targets. The AI Hub also hosts a model zoo, enabling edge devices to load and update models on demand, eliminating the need to bundle models within applications.
https://degirum.us.auth0.com/login?state=hKFo2SAycm5ubGxCU25EdnRwWmVhc0ZmTUlQdlRqUzVNVDB3UKFupWxvZ2luo3RpZNkgckw0RllpSkExSXJVV3p5YllJdWNUNkttMmhlcWdFUFCjY2lk2SBBQWxoeUltNFpxWWVBbEhQdjlqSnp0b09yRkhWQTNLYg&client=AAlhyIm4ZqYeAlHPv9jJztoOrFHVA3Kb&protocol=oauth2&scope=openid profile email offline_access&redirect_uri=https://hub.degirum.com&audience=https://degirum.us.auth0.com/api/v2/&response_type=code&response_mode=query&nonce=WTNhdUFRekxuTWRkRmdCMThaQ25OazROa0g1M0J2X2ZOTUJYaTQwOWJzWQ==&code_challenge=ZR0xgT2SjDRFBkZyZajqQt95XXbu5let9B_I7JUZ7L8&code_challenge_method=S256&auth0Client=eyJuYW1lIjoiYXV0aDAtdnVlIiwidmVyc2lvbiI6IjIuMy4xIn0=
Supported Hardware
Frangipani
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Laurent Hili on the ESA-supported BrainChip -Frontgrade Gaisler partnership:
www.linkedin.com
The partnership BrainChip - Frontgrade Gaisler is a significant step toward deploying AI in space. | Laurent Hili
The partnership BrainChip - Frontgrade Gaisler is a significant step toward deploying AI in space. With growing demand for higher processing capabilities, there is an emerging need for autonomous systems that can process data locally and make timely decisions. GR801 is a promising development...
Frangipani
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Akida gets a favourable mention alongside Loihi in a recent paper (“From Tiny Machine Learning to Tiny Deep Learning: A Survey”) by Texas State University researchers:
“[Neuromorphic] architectures promise efficient always-on inference on MCU-scale devices ideal for continuous monitoring applications-with hardware platforms like BrainChip’s Akida and Intel’s Loihi leading the way.”
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“[Neuromorphic] architectures promise efficient always-on inference on MCU-scale devices ideal for continuous monitoring applications-with hardware platforms like BrainChip’s Akida and Intel’s Loihi leading the way.”
(…)
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