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2021 BRN Discussion, page-25075

  1. IndepthDiver
    550 Posts.
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    01/10/21
    08:22
    Post #: 56486985
    I think this Forbes article says it all about Loihi vs Brainchip. I'd also speculate Intel only went with Intel 4 (7nm process) just to say they also can get 1 million neurons on a small chip:

    https://www.forbes.com/sites/karlfreund/2021/09/30/intel-announces-neuromorphic-loihi-2-ai-hw-and-lava-sw/?sh=12694f893fec

    Intel Research believes that brain-like Neuromorphic computing could hold the key to AI efficiency and capabilities.

    Intel has announced the availability of the second generation “Loihi” chip to further research into neuromorphic computing techniques that more closely emulate the behavior of biological cognitive processes. While Intel believes that large-scale deployment of neuromorphic AI is still years away, the company has been investing in the hardware, software, and development community for over 4 years since it announced the 1st Loihi platform.

    The Neuromorphic future is promising

    Intel shared a vision of possible commercialization. While companies like BrainChip can get products to market for specific use cases, Intel needs to lay the groundwork for billion-dollar markets. That takes time, and take really good software. Intel launched its open-source Lava software development stack, again embracing a community development approach. Lava will attract many more developers, leading to more opportunities and much more learning.“As an open, modular, and extensible framework, Lava will allow researchers and application developers to build on each other’s progress and converge on a common set of tools, methods, and libraries.”

    Armed with future technology and what one hopes will become a robust development stack, Intel envisions selling chips, such as adding features to Intel CPUs and stand-alone specialized designs with other IP. The next step would be intelligent accelerators for edge AI, and eventually scaled-up systems for data center optimization and acceleration.

    Competitively speaking

    On the competitive front, Intel is not alone in believing that the neuromorphic approach bears further research. IBM has the True North research neurochip, and startup Rain Neuromorphic is designing an learning chip that can a) scale in 3D using 3D RRAM, manufacturable with similar toolsets as those used for 3D Flash memory chips, and b) leverage , which could be 1000 times more efficient than today’s best-in-breed digital backpropagation with its expensive global learning rule. Publicly-traded BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF) has both an SOC and IP licenses for it’s Akida neuromorphic technology the company says can scale down to milliwatts for edge applications.

    Loihi 2 can update its neurons approximately 4 to 22 times faster than IBM TrueNorth (every ~45us worst-case for Loihi vs 200-1000us for TrueNorth). And Loihi 2’s synaptic operations have important differentiators that extend model applicability and precision, such as multiplicative amplitudes, propagation delays, nonlinear synaptic responses that add algorithmic capabilities, and even weight changes (learning). Intel has not yet released power consumption data.

    Conclusions

    A one-million-neuron brain-inspired processor is just the start. Loihi 2 adds new learning features, programmability and scalability that will enable expanded function and applications. There remains a lot of work in software and future chips with more capacity for larger models, but I am convinced that analog and neuromorphic computing will both have a significant impact on capability and, more importantly, affordability of large-scale AI.

    Last edited by IndepthDiver: 01/10/21
    BRN Price at posting: 39.5¢ Sentiment: Buy Disclosure: Held
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