This component combines photonics with traditional computing to keep all neural network processing on the chip. At the beginning of each calculation, MIT's experimental system encodes data into ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

Inspired by the biological function of neurons and engineered on a digital logic process, the Akida’s event-based spiking neural network (SNN ... Neuromorphic IP can be easily integrated with any ASIC ...

Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the ...

CMMs are neural networks for the storage and retrieval of binary ... AICP IP-Core The aim of the AICP project is to develop an AURA Compact Binary Vector (CBV) processor IP core for FPGA and ASIC, SOC ...

With this focus, the startup has developed Sohu, a specialized ASIC chip designed exclusively ... machine learning models like Convolutional Neural Networks (CNNs), Recurrent Neural Networks ...

"This ASIC was purposefully designed with distributed ... more efficient inference compute with the Intel Nervana Neural Network Processor for inference and to extend support for our state-of ...

A month after Intel made a big splash about its new Nervana neural network processors, the semiconductor giant announced it has acquired Habana Labs, a startup making artificial intelligence chips ...