Earlier this morning Patently Apple posted a report titled “The MLPerf Consortium, with Members like ARM & Google, have introduced Tech Industry’s First Standard ML Benchmark Suit.”
Our report noted that Apple isn’t a member of this consortium focused on Machine Learning. More and more companies are continuing to join the consortium. It wouldn’t be surprising to see Apple join the group that includes Silicon Valley elites such as Google, Intel, Cray, NVIDIA, ARM, AMD, Microsoft, Facebook and many others.
Apple is doing work in the area of Machine Learning. It includes its hardware application of A12 Bionic chip with Apple’s Neural Engine. Apple makes a contribution to the community of Machine Learning developers with their Machine Learning Journal. It added a new article in June titled ” Bridging the Domain Gap for Neural Models.”
Apple’s latest entry begins by stating that “Deep neural networks are a milestone technique in the advancement of modern machine perception systems. However, in spite of the exceptional learning capacity and improved generalizability, these neural models still suffer from poor transferability. This is the challenge of domain shift—a shift in the relationship between data collected across different domains (e.g., computer generated vs. captured by real cameras). Models trained on data collected in one domain generally have poor accuracy on other domains.
Apple notes: “This method of unsupervised domain adaptation helps improve the performance of machine learning models in the presence of a domain shift.