Archives for benchmarking AI

28 Sep

Rethinking The Way We Benchmark Machine Learning Models

“Unless you have confidence in the ruler’s reliability, if you use a ruler to measure a table, you may also be using the table to measure the ruler.” Wittgenstein’s ruler Do machine learning researchers solve something huge every time they hit the benchmark? If not, then why do we have these benchmarks? Benchmarks indeed guide…

The post Rethinking The Way We Benchmark Machine Learning Models appeared first on Analytics India Magazine.

12 Aug

Researchers Claim Inconsistent Model Performance In Most ML Research Work

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image-14764

The process of benchmarking is considered to be one of the most crucial assets for the progress of AI and machine learning research. The benchmark datasets are usually fixed sets of data, which are manually, semi-automatically as well as automatically generated to form a representative sample for these specific tasks to be solved by a…

The post Researchers Claim Inconsistent Model Performance In Most ML Research Work appeared first on Analytics India Magazine.

31 Jul

NVIDIA Claims To Have Won MLPerf Benchmarking, But Google Says Otherwise

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image-14453

With the third round of MLPerf benchmarking results coming out, graphic giant, NVIDIA announced breaking AI performance records becoming the fastest products available commercially for AI training. However, on the other hand, Google has also proclaimed acing the MLPerf tests with the world’s fastest training supercomputer.  Although both companies have showcased significant achievements in creating…

The post NVIDIA Claims To Have Won MLPerf Benchmarking, But Google Says Otherwise appeared first on Analytics India Magazine.

16 Mar

A Hands-On Guide on Training RL Agents on Classic Control Theory Problems

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image-10861

Various Benchmarks have played an important role in various domains of machine learning such as MNIST (LeCun et al., 1998), Caltech101 (Fei-Fei et al., 2006), CIFAR (Krizhevsky & Hinton, 2009), ImageNet (Deng et al., 2009). However, there is a lack of standardized testbed for Reinforcement Learning algorithms. Various benchmarks released by OpenAI such as Procgen,…

The post A Hands-On Guide on Training RL Agents on Classic Control Theory Problems appeared first on Analytics India Magazine.

21 Jan

Why Benchmarking AI Models With Games Is Not A Very Good Idea

Today, video and board games are playing a crucial role in benchmarking AI intelligence. Although such methodologies have been used since the early nineties in Chess, of late, researchers have embraced video games for evaluating AI intelligence. Notably, in recent years, Mega Man II, StarCraft II, among other video games, has become prefered games for…

The post Why Benchmarking AI Models With Games Is Not A Very Good Idea appeared first on Analytics India Magazine.