Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to AI, algorithmic innovations are substantially more ...

* a linear programming problem that would take 82 years to solve in 1988 could be solved in one minute in 2003. Hardware accounted for 1,000 times speedup, while algorithmic advance accounted for ...

When you're trying to get the best performance out of your algorithm and you're out of software tricks, try acceleration through hardware/software repartitioning. FPGAs provide everything you need to ...

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

SystemC Modelling is an emerging technology used for SoC Verification and termed as Virtual Platforms. Virtual platforms are Simulation Environment of the SoC. SystemC is a high level language and the ...

Most computers and algorithms — including, at this point, many artificial intelligence (AI) applications — run on general-purpose circuits called central processing units or CPUs. Though, when some ...

A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...

HONG KONG, Aug. 06, 2021 (GLOBE NEWSWIRE) -- Recently, TickerWin, the leading market research firm, has released a research report "VIYI Algorithms offers data and hardware solutions for the smart ...

How do data scientists differentiate themselves in a world of rapidly advancing artificial intelligence (AI) and machine learning? This is something that hedge funds and asset-management firms, which ...

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have emerged, each ...