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Beken Corporation competes for an IC Trend Award with its edge AI chip BK7259
Beken Corporation is competing for the "Annual AI Market Breakthrough Award" at the 8th IC Trend Awards with its high-performance edge AI chip BK7259. According to a Jiwei.com report on October 30, 2026, the BK7259 adopts an M52+M55 dual-core design with an ARM Ethos U65 NPU, providing 0.25 TOPS of on-device computing power. It is the first to integrate the Ethos-U65 microNPU into a Wi-Fi 6 MCU, with deep sleep current as low as 2μA, and completes on-device 3D facial recognition in about 200ms. The results of this award selection have not yet been disclosed.
Beken Corporation is competing for the "Annual AI Market Breakthrough Award" at the 8th IC Trend Awards with its high-performance edge AI chip BK7259. According to a Jiwei.com report on October 30, 2026, the BK7259 adopts an M52+M55 dual-core design with an ARM Ethos U65 NPU, providing 0.25 TOPS of on-device computing power. It is the first to integrate the Ethos-U65 microNPU into a Wi-Fi 6 MCU, with deep sleep current as low as 2μA, and completes on-device 3D facial recognition in about 200ms.
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Google Releases EmbeddingGemma 2 Paper
Google has released the EmbeddingGemma 2 paper, introducing an Apache 2.0-licensed on-device multimodal embedding model that maps text, code, images, audio, and video into the same vector space. Built on Gemma 4, the model learns from the larger Gemini Embedding 2 and is tuned with contrastive training; with 744M parameters, it outperforms models 2 to 12 times larger on multiple tasks. On the Pixel 11 Pro, the quantized text weights occupy about 191MB of active memory, while the full multimodal model takes about 567MB; the context window is expanded 4 times to 8K tokens, accommodating about 5.5 minutes of audio, 29 images, or 58 video frames. Embedding speech directly scores 69.54 on the MSEB spoken query retrieval benchmark, higher than the 57.59 achieved by transcribing first and then retrieving, and code retrieval on MTEB Code improves from 68.76 in EmbeddingGemma 1 to 78.68. There are currently no further developments.
Google has released the EmbeddingGemma 2 paper, introducing an Apache 2.0-licensed on-device multimodal embedding model that maps text, code, images, audio, and video into the same vector space. Built on Gemma 4, the model learns from the larger Gemini Embedding 2 and is tuned with contrastive training; with 744M parameters, it outperforms models 2 to 12 times larger on multiple tasks. On the Pixel 11 Pro, the quantized text weights occupy about 191MB of active memory, while the full multimodal
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Micro-Nano Core completes over 1 billion yuan Series C2 financing
Hangzhou-based compute-in-memory AI chip company Micro-Nano Core has completed a Series C2 financing round of over 1 billion yuan, led by Jiantou Investment, with the funds to be used for product development and iteration as well as supply chain mass-production stocking. Combined with the Series C1 round completed in September, the company has raised over 2 billion yuan within two months and a cumulative 3 billion yuan over half a year. Its 3D-CIM architecture targets large-model inference; all three of its chips for edge and cloud sides have been taped out, with customer sampling and the start of volume supply expected in early 2027.
Hangzhou-based compute-in-memory AI chip company Micro-Nano Core has completed a Series C2 financing round of over 1 billion yuan, led by Jiantou Investment, with the funds to be used for product development and iteration as well as supply chain mass-production stocking. Combined with the Series C1 round completed in September, the company has raised over 2 billion yuan within two months and a cumulative 3 billion yuan over half a year. Its 3D-CIM architecture targets large-model inference; all
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Iluvatar CoreX conducts first live demonstration of Tiange 300 and TY1200
On October 28, 2026, Iluvatar CoreX conducted its first live demonstration of the general-purpose GPU Tiange 300 and the edge computing terminal TY1200, and previewed the next-generation edge product TY2000. According to a report by Zhidongxi, the Tiange 300 is equipped with 144GB of memory, delivering Attention performance 1.05 times that of the H200 under a 64K long context, and MoE throughput 1.15 times that of the H200 on the GLM-5.3 model; the TY1200 offers 300 TOPS of dense INT8 compute, with measured TPS surpassing NVIDIA's Thor T5000. The Tiange 300 IXL144 supernode integrates 144 GPUs in a single rack, aggregating approximately 10.1TB of memory, and reduces the cost per million effective tokens by about 40% compared with mainstream international solutions. Currently, this event has only the single report described above, with no subsequent developments.
On October 28, 2026, Iluvatar CoreX conducted its first live demonstration of the general-purpose GPU Tiange 300 and the edge computing terminal TY1200, and previewed the next-generation edge product TY2000. According to a report by Zhidongxi, the Tiange 300 is equipped with 144GB of memory, delivering Attention performance 1.05 times that of the H200 under a 64K long context, and MoE throughput 1.15 times that of the H200 on the GLM-5.3 model; the TY1200 offers 300 TOPS of dense INT8 compute, w
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