Aporia takes aim at ML observability, responsible AI and more
Is there a line connecting machine learning observability to explainability, leading to responsible AI? Aporia, an observability platform for machine learning, thinks so.
Read More →Reducing cloud waste by optimizing Kubernetes with machine learning
Applications are proliferating, cloud complexity is exploding, and Kubernetes is prevailing as the foundation for application deployment in the cloud. That sounds like an optimization task ripe for machine learning, and StormForge is acting up on that.
Read More →H2O.ai brings AI grandmaster-powered NLP to the enterprise
Hydrogen Torch, H2O's latest product, is designed to deliver the AI capabilities of web giants to the rest of the world, says CEO Sri Ambati.
Read More →Bringing Deep Learning to your hardware of choice, one DeciNet at a time
Training deep learning models is costly and hard, but not as much as deploying and running them in production. Deci wants to help address that.
Read More →Rendered.ai unveils Platform as a Service for creating synthetic data to train AI models
As more organizations are turning to synthetic data to feed their data-hungry machine learning algorithms, Rendered.ai wants to help.
Read More →The state of AI ethics: The principles, the tools, the regulations
What do we talk about when we talk about AI ethics? Just like AI itself, definitions for AI ethics seem to abound. A definition that seems to have garnered some consensus is that AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technologies.
Read More →Machine learning is going real-time: Here’s why and how
Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.
Read More →What will applied AI look like in 2022?
AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the foundational piece on HBR, professionals who work on AI would readily attest to this statement. Google search seems to be in on this not-so-secret too: When prompted with “AI adoption,” its auto-complete spurts out “skyrocketed over the last 18 months”.
Read More →Taking the world by simulation: The rise of synthetic data in AI
Would you trust AI that has been trained on synthetic data, as opposed to real-world data? You may not know it, but you probably already do — and that’s fine, according to the findings of a newly released survey.
Read More →2022 technology trend review, part two: AI and graphs
AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their applications, and seeing rapid growth in the 2020s.
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