As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic ...

Computing applications have long used floating point numerical processing, including many in CPU architectures, which are mathematically superior and support wide dynamic ranges. Computing ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

Researchers demonstrated monolithic 3D integration of layered 2D material into novel processing hardware for artificial intelligence computing. The new approach provides a material-level solution for ...

Q-SYS Scaling licenses will enable integrators and IT administrators to expand DSP processing power and application-specific features on the Q-SYS Core Nano and Core 8 Flex. The licenses utilize the ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

SEAKR® Engineering, Inc. (SEAKR) is pleased to announce operational success of next generation commercial-off-the-shelf (COTS) processing hardware as part of a risk reduction technology demonstration ...