Advanced Computing in the Age of AI | Friday, September 30, 2022

AutoML

Pecan AI Leaps Over the Skills Gap to Enable Data Science On Demand

As the big data analytics train keeps rolling on, there are still kinks to work out when implementing it in the business world. Building and maintaining a big data ...Full Article

AutoML Platform Kepler Targets Domain Experts

As more companies roll out digital infrastructure, they are ingesting greater volumes of data that can be used by business analysts to gauge customer intent and boost transactions. Complexity ...Full Article

Qeexo Takes ‘TinyML’ to AWS Cloud

Qeexo, the Carnegie Mellon University spinoff, is expanding public cloud access to its automated machine learning platform as it pushes its no-code “TinyML” approach to the network edge. The ...Full Article

AWS’s Web-based IDE for ML Development: SageMaker Studio

AWS, Azure, Google Cloud, IBM Cloud, Oracle – they’ll all vying to become the dominant force of gravity in the public cloud services market, and among the most fiercely ...Full Article

Google Upgrades AI Hub

Google Cloud has added collaboration tools to its AI Hub launched earlier this year as a clearinghouse for machine learning pipelines and trained models. A new homepage provides users with ...Full Article
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