Non-profit organization SPEC formed a committee to oversee the development of an independent benchmark artificial intelligence algorithms, machine learning and logistic inference problems.
Excited to announce the formation of #SPEC‘s new Machine Learning Committee. The ML committee will develop practical methodologies for #benchmarking #AI and #ML #performance in the context of real-world platforms and environments. Learn more at: https://t.co/5us6CDT1js pic.twitter.com/ucPWuPlHVC
— SPEC (@spec_perf) March 10, 2022
The structure will create a practical methodology for a comparative analysis of the effectiveness of algorithms in the context of real platforms and environments.
Initially, the committee will focus on developing benchmarks to measure the end-to-end performance of the hardware system under test when performing machine learning and inference tasks.
SPEC believes that the creation of a third-party vendor-independent benchmark will allow system developers to evaluate competing platforms and technologies and make better purchasing decisions for equipment and tools.
The committee also invited AI professionals to join the development and management of the benchmark.
“I encourage anyone with an interest in the future of ML processing to join the SPEC ML committee and help shape these invaluable tests,” said committee chairman Arthur Kang.
SPEC produces a number of benchmarks that are widely used to evaluate the performance of computer systems, especially in the High Performance Computing (HPC) industry.
Recall that in November 2021, UNESCO members adopted the first global agreement on the ethics of artificial intelligence.
In June, the World Health Organization formed six core principles for artificial intelligence in medicine.
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