Now, while that proposal may sound like a moonshot, the one-year old startup has been already attracting a number of high-profile investors willing to bet on the prospect. "This could help make HPC much more energy efficient, climate-friendly and just all around more affordable.Luminous Computing is proposing to build up a photonics chip that will deal with workloads required by AI at the speed of the light. "Perhaps it makes sense that a technology like Loihi may find its way into a future high-performance computing platform," Aimone said. But workarounds can be made - for instance, choosing to process and output summary statistics rather than raw data - and neuromorphic chips can be attractive because of their speed and low energy costs. The Sandia researchers don't expect neuromorphic computing to dominate the future of HPC as it can be costly to move data on or off the brain-like chips when data sets get larger. ![]() Intel, for instance, has increased the number of neurons from 128,000 to 1 million with its next-generation Loihi chip. The irregular flashing of artificial neurons in neuromorphic chips may actually transmit data slower than the circuits in traditional computer chips, but they gain an advantage when scaled to larger numbers, which is the direction neuromorphic computing is headed. Samsung is planning to reverse-engineer the human brain on to a chip.Intel offers Loihi 2 to boffins: A 7nm chip with more than 1m programmable neurons.Photonics startup Luminous Computing bags $105m.Italian researchers' silver nano-spaghetti promises to help solve power-hungry neural net problems.That's in contrast to traditional processors, where energy is used regardless of whether all the circuits are processing information.Īnother benefit of neuromorphic chips: the computing and memory components exist in the same structure, which reduces energy consumption when data travels between the two, they said. ![]() These pins only consume electricity, which comes from nearby sensors, when they contribute data. Key to the efficiency capabilities of neuromorphic chips is the way their pin-like structures replicate neurons in a brain, the researchers said. ![]() Intel, for instance, positions its Loihi neurochips as the future of AI computing but as Sandia researchers demonstrated in a recent article in the peer-reviewed journal Nature Electronics, Intel's Loihi chips "can solve more complex problems than those posed by artificial intelligence and may even earn a place in high-performance computing." This includes problems like tracking X-rays passing through bone and soft tissue, data flows within social networks, financial market movements and disease spread within a population, among other things. Up until now, artificial intelligence has been promoted as the main use case, although IBM, which was far ahead of the commercially viable brain-inspired game with its True North devices once saw much broader applicability. Neuromorphic computing represents a fundamental change in the way data is processed and analyzed. Neuromorphic chips that mimic the way brains work may have broad applicability for high-performance computing applications and could be a better fit than CPUs and GPUs in some cases, according to Sandia National Laboratories in the US.
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