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 ...

随着AI迅速向边缘领域挺进，对智能边缘器件的需求随之激增。然而，要在小尺寸的微控制器上部署强大的模型，仍是困扰众多开发者的难题。开发者需要兼顾数据预处理、模型选择、超参数调整并针对特定硬件进行优化，学习曲线极为陡峭。因而，开发者肯定 ...

2022年9月3日上午，由世界人工智能大会组委会办公室指导，亿欧主办的世界人工智能大会“AI商业落地论坛”，在中国信息通信研究院华东分院、上海市人工智能行业协会、上海交通大学产业经济研究中心的支持下成功举办。本次AI商业落地论坛以“精于商业、智 ...

When businesses identify a problem that can be solved through machine learning, they brief the data scientists and analysts to create a predictive analytics solution. In many cases, the turnaround ...

In the early days of deep learning, models were bespoke creations hand-built from hand-curated data and hand-tuned by experienced experts using combinations of well-known approaches and ad-hoc ...

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 ...

One focus for Google Cloud is increasing customer adoption of AI by offering a wide range of machine learning services at all levels. Launched last year, Cloud AutoML is aimed at developers with ...

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 ...

Dublin, July 15, 2024 (GLOBE NEWSWIRE) -- The "Automated Machine Learning (AutoML) - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The global market for ...