Items tagged with neuromorphic computing

Just when you thought you might have finally been getting a grasp on all of Intel's lake-inspired codenames, such as Coffee Lake, Ice Lake, Rocket Lake, and the list goes on, here is another codename to add to your mental repository—Pohoiki Beach, which consists of an 8 million-neuron neuromorphic system comprising 64 brain-inspired Loihi research chips. That is a lot to absorb. The takeaway is that this is a different kind of computing platform than a typical modern system. Loihi applies the principles found in biological brains to computer architectures, and according to Intel, it can process information up to 1,000 times faster and 10,000 times more efficiently than CPUs for specialized... Read more...
The brain is the most complex organ in the body and the most difficult to unravel. Scientists have developed a variety of ways to better understand the brain, including the use of supercomputers. The world’s largest neuromorphic supercomputer, the Spiking Neural Network Architecture (SpiNNaker), was just switched on for the first time yesterday. The mammoth array of server cabinets boasts one million processor cores and is able to perform 200 trillion actions per second. SpiNNaker has been twenty years and £15 million (nearly 19.5 million USD) in the making. The project was originally supported by the Engineering and Physical Sciences Research Council (EPSRC), but has been most recently... Read more...
BrainChip has just announced a new add-in card that is specifically designed to accelerate neuromorphic computing. Neuromorphic hardware is tasked with mimicking the pathways of the human brain by using neural technology to process large amounts of data parallel in bursts or "spikes" over short span of time. In this case, the BrainChip Accelerator will be used to greatly enhance the speed of object and facial recognition. The BrainChip Accelerator is described as an 8-lane PCIe add-in card, which when used in conjunction with BrainChip Studio software can provide a 6x uplift in the speed and accuracy of object recognition. In addition, the accelerator is capable of processing 16 simultaneous... Read more...