In the last roundup of 2020, learn how artificial intelligence (AI) classifies real supernova explosions and how it is controlling an autonomous ship to re-create the Mayflower voyage. Read the top ten articles about AI in healthcare from this year. Finally, understand why explaining machine learning (ML) clearly is important for stakeholder buy-in and how it may be the future of the utility industry.

Artificial Intelligence Classifies Real Supernova Explosions With Unprecedented Accuracy

By Harvard-Smithsonian Center for Astrophysics for

A team of astronomers at the Center for Astrophysics | Harvard & Smithsonian are using AI to classify real supernova explosions without the traditional use of spectra. They’ve trained a ML model to categorize supernovae based on their visible characteristics. This is the first time that astronomers have had access to a real data set large enough to train an artificial intelligence-based supernovae classifier, making it possible to create machine learning algorithms without the use of simulations.


National Grid Sees Machine Learning as the Brains Behind the Utility Business of The Future

by Jonathan Schieber, contributing writer for

If you look at the portfolio of National Grid’s corporate venture capital firm, you’ll see a heavy investment in automation and ML. This provides high hopes for automation as the future of the utility industry. The firm has invested in 16 startups where ML was at the core of the pitch. Learn about the ways these technologies may revolutionize the utility industry in the future.


Top 10 AI and Machine Learning Stories of 2020

By Mike Miliard, contributing writer for

Artificial Intelligence is evolving and maturing quickly for a variety of applications across the healthcare industry, especially as it relates to COVID-19. From assessing vaccine safety and efficacy to assisting with X-ray readings, AI is being used in innovative ways throughout the pandemic. Here are the top 10 stories about AI during a highly unusual year.


Why is Machine Learning So Hard to Explain? Making It Clear Can Help With Stakeholder Buy-In

By Mary Shacklett, contributing writer for

There’s a very real explainability gap between data scientists and businesses when it comes to AI and ML. It is very difficult to convince stakeholders to adopt technology they don’t understand. Truera has developed Model Intelligence Platforms. The software helps data scientists and non-data scientists explain, evaluate and extract insights from models and the data used to build the models. Learn more about how it works and how it’s helping to bridge the gap.


Artificial Intelligence-Powered Boat to Re-create Mayflower Journey

By CBS This Morning for

An autonomous vessel powered by AI is being created and will make the same journey from England to Massachusetts that the Mayflower made 400 years ago. The solar- and wind-powered ship will be used to research the Earth’s oceans in a more efficient and cost-effective way. The international team is using this endeavor to commemorate history while also charting a new path for the future with technology of today.




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