MLPerf To Provide Much Needed Clarity In The Field Of Machine Learning ForbesThe new MLPerf inference benchmarks will accelerate the development of hardware and software to unlock the full potential of ML applications.
Open-box machine learning for AIOps solves ‘black-box’ mysteries CIO DiveTo borrow a concept from a legendary car commercial, today’s artificial intelligence is “not your father’s” AI. Any technology — or multiple technologies in the …
Setting the standard for machine learning Phys.OrgThe microcomputer revolution of the 1970s triggered a Wild West-like expansion of personal computers in the 1980s. Over the course of the decade, dozens of …
Open-box machine learning for AIOps solves ‘black-box’ mysteries CIO DiveTo borrow a concept from a legendary car commercial, today’s artificial intelligence is “not your father’s” AI. Any technology — or multiple technologies in the …
The Complete Guide to Machine Learning in 2019 G2Machine learning has been a hot topic for years now, and for good reason. In this guide, we break down the different types of machine learning, provide some …
7 hospital applications for machine learning: a breast cancer-predicting algorithm, low-dose CT imaging & more Becker’s Hospital ReviewHere are seven recent studies and launches illustrating novel applications — some theoretical and some alr…
MLPerf introduces machine learning inference benchmark suite VentureBeatMLPerf introduced its first inference benchmark suite today. Performance and energy efficiency results are expected in the fall.
Machine Learning “Very Easy to Abuse” The ScientistMicrobiologist Nick Loman talks about the power of artificial intelligence and the best way to use it.
The 3 Stages of Machine Learning in IoT-Enabled Asset Optimization ENGINEERING.comHow can manufacturers with differing levels of data collection leverage production data analysis?
Three Ways AI And Machine Learning Can Transform The World Of Prospecting ForbesWith predictive prospecting, we have an opportunity to engage with consumers in ways that are individual and meaningful, without being intrusive and …
