Backed by Lightspeed and Bessemer, DualBird delivers hardware-grade acceleration in the cloud with a simple plug-in - making data workloads 10x-100x faster and 50-90% cheaper BOSTON, MASSACHUSETTS / ...
DualBird Inc., a startup using customizable field-programmable gate arrays to speed up data processing workloads, today ...
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 ...
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 ...
A team of researchers in Canada has developed the Jericho Open Resistive Data Logger—an open-access photovoltaic (PV) monitoring platform that integrates data acquisition and processing hardware, a ...
Data processing units (DPUs) have emerged as an important deployment option for datacentres that run heavy data-centric workloads such as artificial intelligence (AI) and analytics processing, and to ...
Safeguarding data during computation using hardware-protected enclaves that isolate code and data from untrusted software.
“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...
Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...
Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...
Artistic rendering of a photonic chip with both light and RF frequency encoding data. Image credit: B.Dong / University of Oxford. A breakthrough development in photonic-electronic hardware could ...
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