Lily Nelson
Using AI to Fight Wildfires -- Prevention, ...

In a world overshadowed by the rapid deterioration of its climate, AI engineers are beginning to apply machine learning technology to issues of environmental justice and crisis. In California, where wildfires have ravaged over 570,000 acres of land and forced 41,000 evacuations already this summer, AI is being used to prevent and monitor forest fires throughout the state.

Using AI to Fight Wildfires -- Prevention, Detection, & Monitoring with Computer Vision

health

Using AI to Remotely Assess Mood, Emotions & Mental Health

How we communicate and conduct business will likely forever be changed as a result of the COVID-19 pandemic. While telecommunication technologies have helped ease our burden, we simultaneously face a looming mental health crisis. With a burdened healthcare system and a large population at risk in isolation, innovative solutions are required to help those in need and to facilitate more informed communication.

Predicting Covid-19 like the Weather, Using AI to Harness a Network of Health Sensors

The national weather service operates a massive sensor array including sensors located on weather balloons, in airplanes, on land, in sea buoys, and from satellites. Just like a confluence of variables can indicate a hurricane is on the way, we believe an infectious disease forecasting service powered by AI can predict the likelihood of a new wave of C19 and other infectious diseases.

Using AI to Predict Influenza, C19 and Other Infectious Disease Rates

AI can be used to generate regional forecasts of infectious disease rates that, in turn, empower government and other leaders to make prudent social distancing and other preemptive modifications. As a case study, we will look at influenza data supplied by the Centers for Disease Control. Our goal is to use ILI data to train a model that will accurately predict future seasonal flu levels.

Helping At Home Healthcare Patients with Artificial Intelligence

Imagine a world where at home AI healthcare tools get smarter and more able to heal you every day. These tools are incredibly data driven — where they are continuously collecting data off your body, about your environment, your nutrition and activity — and then these algorithms are continuously learning from this data not just from you, but from millions of other patients and doctors who know how to make sense of this information.

Transforming Radiology and Diagnostic Imaging with AI

Throughout the diagnostic related care cycle, physicians are observing and understanding patterns. Pattern recognition is the key task for understanding the results of clinical scans. Neural networks, an automated pattern recognition capability, shows strong promise in predicting cancer and segmenting specific tumors for breast cancers, rectal cancers, and other categories of cancer that affect many Americans each year.