An explanation of how ML algorithms recognize patterns and how ML is being used to rediscover dead languages and help clean the oceans.
- By Upside Staff
- October 27, 2020
Protecting consumer privacy is key to securely providing the huge data sets required for innovations in AI analytics.
- By Michael Zeller
- October 27, 2020
Leveraging AI to continuously summarize the combined healthcare literature makes it possible to give every patient the best possible treatment informed by the most current research.
- By Patrick Howie
- October 26, 2020
Predictive analytics for planning flu vaccines, machine learning in museum design, and information for aspiring data scientists.
- By Upside Staff
- October 22, 2020
Machine learning projects too often get stuck in the lab. Bringing the discipline and efficiency of DevOps into AI/ML practices helps move your models to production with ease, even at scale and in real time, and manage and monitor them over time for optimal results.
- By Yaron Haviv
- October 20, 2020
How do you teach machine learning new tricks? These techniques gleaned from math frameworks, gaming, and human trial-and-error interactions can help guide your AI model training.
- By Ranjana Moolya
- October 19, 2020
How companies are using AI to cope with COVID-19 and improve business decisions, plus how AI applications are different from AI research.
- By Upside Staff
- October 13, 2020
AI’s benefits will be severely diminished if it’s hampered by poor quality data.
- By Bill O'Kane
- October 9, 2020