Loihi 2: A New Generation of Neuromorphic Computing Loihi 2, Intel Lab's second-generation neuromorphic processor, outperforms its predecessor with up to 10x faster processing capability. It comes with Lava, an open-source software framework that supports multiple AI methods and hardware for developi...
Loihi 2: A New Generation of Neuromorphic Computing Loihi 2, Intel Lab's second-generation neuromorphic processor, outperforms its predecessor with up to 10x faster processing capability. It comes with Lava, an open-source software framework that supports multiple AI methods and hardware for developi...
In this cross-journal collection, we aim to bring together cutting-edge research of neuromorphic architecture and hardware, computing algorithms and theories, and the related innovative applications.
AI engineering is the next frontier for technological advances: What to know 5 free AI tools for school that students, teachers, and parents can use, too The brain makes a really appealing model for computing: unlike most supercomputers, which fill rooms, the b...
What is neuromorphic computing? Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system. The term refers to the design of both hardware and software computing elements. Neuromorphic computing is sometime...
Neuromorphic computing is the basis of artificial intelligence, deep learning and machine learning. Each of those involves a training phase and an inference phase. In the training phase, the system is presented with a large dataset and learns how to “correctly” analyze it. In supervised learning...
如果把作者提到的“函数”限定为数值函数,那么,作者所主张的“to provide computing technology and architecture with the potential to drive the next wave of computer engineering”和“brain-inspired computing also provides a promising platform for the development of artificial general intelligence”的说法如何...
Reservoir computing is a concept involving mapping signals onto a high-dimensional phase space of a dynamical system called “reservoir” for subsequent recognition by an artificial neural network. We implement this concept in a nanodevice consisting of a sandwich of a semiconductor phonon waveguide an...
Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex and unstructured data as our ...
The emergence of neuromorphic computing, inspired by the structure and function of the human brain, presents a transformative framework for modelling neuro