Tiffany Hwu and others
A complete neuromorphic solution to outdoor navigation and path planning. The proposed solution is based on a spiking neural network that mimics the biological nervous system of insects. The solution is tested in a real-world scenario and demonstrates promising results in terms of accuracy and efficiency….
Paul Merolla and others
A scalable and flexible non–von Neumann architecture that leverages contemporary silicon technology. It includes a 5.4-billion-transistor chip with 4096 neuro synaptic cores interconnected via an intra chip network that integrates 1 million programmable spiking neurons….
Alexandros Pitilakis and others
Beam Propagation Method (BPM) for planar photonic integrated circuits (PIC), implemented in MATLAB with finite-differences….
Human Brain Project (HBP)
A modeling tool that can generate geometric, kinematic and dynamic models, as well as sensor placement that can be used in the simulation environment of NRP – or any ROS/Gazebo-based environment….
Human Brain Project
The Neuromorphic Computing systems SpiNNaker and BrainScaleS allow neuroscientists and engineers to perform experiments with configurable neuromorphic computing systems. The systems are part of the EBRAINS research infrastructure, which is created by the Human Brain Project (HBP)….
Carlos Rios and others
A photonic platform that can combine integrated optics with collocated data storage and processing to enable all-photonic, in-memory computations. By employing nonvolatile photonic elements based on a special phase-change material, it can achieve direct scalar and matrix-vector multiplication, featuring a novel single-shot Write/Erase and a drift-free process….
Intel
Intel Labs’ second-generation neuromorphic research chip, codenamed Loihi 2, and Lava, is an open-source software framework, which will drive innovation and adoption of neuromorphic computing solutions. Loihi2 is the latest iteration of Intel's Loihi neuromorphic computing platform and is available for partners who want to collaborate with the corporation to explore what it can do….
Stanford University
The NeuRRAM neuromorphic chip is a state-of-the-art “compute-in-memory” hybrid circuit that executes computations in memory. It can perform complex cognitive operations without requiring a network connection to a central server. The device is also incredibly adaptable and supports many neural network models and topologies….