A pioneer in applying network science to biology discusses how data science, and data management in particular, are starting to generate highly useful life sciences insights.
- By Anthony Finbow
- June 30, 2021
In-memory computing brings computation together with data, leveraging data-aware execution, data locality and making it possible to dramatically improve performance and scalability for streaming analytics and machine learning. John DesJardins, CTO of Hazelcast, explains.
- By James E. Powell
- June 29, 2021
If your title starts with the words "chief data," here are four areas where you can make a big impact in your job.
- By Hannah Smalltree
- June 28, 2021
Robotics is one of the proving grounds for artificial intelligence (AI) in our lives.
Recent research into AI’s shortcomings, potential for general AI, and improvements to autonomous vehicles.
- By Upside Staff
- June 15, 2021
Recent innovations produce synthetic data that is richer, more varied, and similar to real data, making it more useful than ever in providing the missing data machine-learning models need.
- By Sigal Shaked
- June 14, 2021
Creating broader applications for data science, proper measurement for model outcomes, and avoiding ML attacks.
- By Upside Staff
- June 10, 2021
Read these articles for machine learning fundamentals, challenges ML programs face, and one way more data can be made accessible for AI/ML training.
- By Upside Staff
- June 1, 2021