iEi's Mustang-M2BM-MX2 is a deep learning convolutional neural network acceleration card for speeding up AI inference in a flexible and scalable way.
Archer Materials has assembled and patterned a nanometre-size array of several individual qubit material components of a prototype room-temperature operating quantum computing qubit processor.
The i.MX 7ULP applications processors, from NXP Semiconductors, are based on Arm Cortex-A7 and Cortex-M4 cores with separate isolated domains, and include both 3D and 2D graphics processing units (GPUs).
Based on a design 10 years in the making, the processor has built-in scalability that allows the number of quantum components — made out of light — to scale to extreme numbers.
Texas Instruments' Sitara AM574x processors incorporate dual-core Arm Cortex-A15 reduced instruction set computer (RISC) CPUs with Arm Neon extensions and two TI C66x floating-point DSP cores.
Researchers have developed a new type of processor known as PAXEL — a device that can potentially bypass Moore's law and increase the speed and efficiency of computing.
Archer Exploration, a Sydney-based advanced materials business, has assembled the first qubit component of a prototype room-temperature operation quantum computing qubit processor.
The SMARC 2.0 Quick Starter Kit for the NXP i.MX 8 QuadMax processor family, from congatec, is said to offer everything developers need for the immediate evaluation of the NXP i.MX 8 processor.
The STM32MP1 multicore microprocessor series with compute and graphics support, combined with power-efficient real-time control and high feature integration, will facilitate development of high-performance solutions for industrial, consumer, smart home, health and wellness applications.
iEi Integration's Mustang-V100-MX8 computing accelerator card is designed to handle artificial intelligence deep learning inference while still retaining power efficiency and a compact form factor.
AI processing capabilities are moving from the cloud into the smart edge and are providing game-changing, intelligent ways to enable tomorrow's IoT.
Scientists have engineered a silicon chip that can guide single particles of light known as photons along optical tracks, encoding and processing quantum bits of information (qubits).
High-end applications can never have too much computing power, but thermal budgets are limited.
The S32V234 vision and sensor fusion processor, from NXP Semiconductors, is designed to support safe computation-intensive applications in vision and sensor fusion applications.
EnSilica has announced an award-winning innovation that is expected to accelerate the commercialisation of autonomous vehicles, solving the problem of radar data overload and resolution by handling this in a dedicated co-processor.