机器学习模型的构建过程历来需要大量的手动调参工作，包括超参数优化、算法选择和特征工程等环节，往往需要数周的时间投入。尽管这种传统的开发模式仍然存在，但AutoML技术的发展已经显著简化了这一过程。 经过多年的AutoML库实践经验，这些工具已经深刻 ...

Just before 9 am last Thursday, an unusual speed dating scene sprang up in San Francisco. A casually dressed crowd, mostly male, milled around a gilt-edged Beaux Arts ballroom on Nob Hill. Pairs and ...

North America Captures a Significant Revenue Share in the Automated Machine Learning Market, Supported by Government-Backed ...

Recently, professors Risheng Liu from Dalian University of Technology and Zhouchen Lin from Peking University collaborated on an opinion article published in the National Science Review (NSR). Their ...

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...

JINAN, China, Dec. 7, 2018 /PRNewswire/ -- At the 3rd AutoML Challenge, GrandMasters, a team of AI engineers from Inspur Group, Beijing University of Posts and Telecommunications (BUPT), and Central ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

MACAU, April 18, 2019 /PRNewswire/ -- One of the most high-profile conferences and competitions in the Machine Learning (ML) world has recently concluded. The winners of the Pacific-Asia Conference on ...