Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Businesses are generating data at a faster pace than ever: 90% of the world’s data was generated within the last two years. The increased data volume is rapidly outpacing our ability to consume it.

Xiangrui Meng of Databricks, a committer on Apache Spark, talks about how to make machine learning easy and scalable with Spark MLlib. Xiangrui has been actively involved in the development of Spark ...

ML is a subset of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. In simple terms, machine learning (ML) is a subset of artificial intelligence (AI) ...

Machine learning is changing the way we do things, and it’s becoming mainstream very quickly. While many factors have contributed to this increase in machine learning, one reason is that it’s becoming ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...