Exposing the inferencing engine as an API makes it possible ... source platform for managing the machine learning lifecycle. “It can be a TensorFlow model or a scikit model,” Wiley said.

The result is a machine learning framework that is easier to work with—for example, by using the relatively simple Keras API for model training—and more performant. Distributed training is ...

Microsoft updated its machine learning dev tooling with ML.NET 2.0 and ... specifically one that enables a new text classification scenario in Model Builder, along with a sentence similarity API. The ...

Offered as an AIaaS model, the APIs can perform various tasks ranging from summarization and content moderation to topic detection. “Our API platform ... Systems as a machine learning engineer ...

Key Takeaways Hugging Face offers free, user-friendly hosting for machine learning models with robust community support in ...

“The new machine learning models that power ... giving them the best possible ability to detect and model what should and shouldn’t be happening for API traffic. It is especially adept at ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

In a recent interview with VentureBeat, Telesign CEO Christophe Van de Weyer explained how the company is using AI and ML to deliver its Intelligence API. “Machine learning has the power to ...

Jason Kelly, CEO of Ginkgo Bioworks: "I'm excited to see how the community builds on top of these models and our API. AA-0 is the first model we have released trained on Ginkgo's proprietary data ...