Feds Investing $1B to Fund 12 New AI Institutes
By AI Trends Staff
The federal government is increasing its investment in AI research, with the announcement on August 26 of over $1 billion of...
Argonne National Labs Using AI To Predict Battery Cycles
By Allison Proffitt, Editorial Director, AI Trends
Thanks to the cost reductions that have come from global electric vehicle adoption, lithium ion batteries now have...
Covid-19 AI Update: NIH Developing Imaging Tools
By AI Trends Staff
Among the latest developments around the use of AI to battle the Covid-19 pandemic, the National Institutes for Health (NIH) has...
AI-Based Tools Predict COVID-19 Disease Severity
By Paul Nicolaus, Science Writer
Two healthcare workers under the age of 30 fell ill in Wuhan, China, where the first COVID-19 case was reported....
Researcher Developing Smart Chips to Address Battery Safety
By AI Trends Staff
The number one issue in lithium-ion batteries powering products from e-bikes and power tools for consumers, to self-driving cars and submarines,...
AI, Machine Learning Playing Important Role in Fighting COVID-19
By AI Trends Staff
AI and machine learning are playing an important role in fighting the pandemic brought on by COVID-19, with technological innovation and...
AI Contributing to Better Accuracy and Precision in Weather Forecasting
By AI Trends Staff
Traditional models of weather forecasting are based on statistical measures based on data collected from deep space satellites, such as NOAA’s...
AI Being Applied to Improve Health, Better Predict Life of Batteries
By AI Trends Staff
AI techniques are being applied by researchers aiming to extend the life and monitor the health of batteries, with the aim...
Effort to Fund National Research Cloud for AI Advances
By AI Trends Staff
A bipartisan group of legislators in the US House and Senate proposed a bill in the first week of June that...
Updates on How AI Being Employed to Speed COVID-19 Treatments and Management
By AI Trends Staff
Medical researchers are employing AI to search through databases of known drugs to see if any can be associated with a...
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