But there was no collection of AI failures that could be used to develop the taxonomy. This led to the idea of developing the AI Incident Database.

Shariq Ahmad set an ambitious goal for Morningstar’s data collection team in 2019: to have at least 50 percent of its engineers working on machine learning initiatives by year’s end. Ahmad joined ...

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Instead of getting the best of both worlds, you get the limitations of both. There’s an old Confucian proverb: “The hunter who chases two rabbits catches neither.” Instead of trying to repurpose your ...

One classic example Liberty uses is an eCommerce recommendation engine. While this has been a standard part of online selling for years, he believes using a vectorized data approach will result in ...

Self-driving databases using ML will proliferate Cloud database providers will apply machine learning (ML) to make their DBaaS offerings self-running. Just over a year ago, Oracle kicked the door ...

The new database, dubbed Oracle 18c, uses machine learning capabilities to patch itself without requiring human intervention to schedule a downtime for patching the database.

Pinecone, a machine learning cloud infrastructure company, left stealth today with $10m in seed funding led by Wing Venture Capital. So what makes Pinecone special, rather than yet another database?