Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both. Machine learning (ML) workloads ...

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...

History shows civil wars to be among the messiest, most horrifying of human affairs. So Princeton professor Arvind Narayanan and his PhD student Sayash Kapoor got suspicious last year when they ...

All domains are going to be turned upside down by machine learning (ML). This is the consistent story that we keep hearing over the past few years. Except for the practitioners and some geeks, most ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today. The 20 World-Leading Data Science And Machine ...

Jointly offered by the Department of Computer Science and the Department of Industrial Engineering and Management Sciences, the machine learning and data science minor provides students with practical ...