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.
Using AI Driven Video Metrics to Improve Soccer Performance
Professional athletes have long had the advantage of analysis from expensive body worn sensors. AI models, when applied to readily available video, however, offer much promise to more cost conscious amateur athletes. We ask the question, can we better an individual goalie’s chances of stopping a penalty kick with advanced AI?
Using AI to Improve Sports Performance & Achieve Better Running Efficiency
Can amateur athletes improve their performance using artificial intelligence and nothing more than a smart phone? As an AI practitioner and a dedicated runner, I decided to find out leveraging body pose estimation, an advanced AI technology that automatically generates a skeleton for people in each frame of a video.
Understanding Conversations in Depth through Synergistic Human/Machine Interaction
Every day, billions of people communicate via email, chat, text, social media, and more. Understanding the conversation begins with understanding one document. Once we can teach a machine to understand everything in a single document, we can project this understanding up to a collection, thread or larger corpus of documents to understand the broader conversation.
Drones to Robot Farm Hands, AI Transforms Agriculture
From detecting pests to predicting which crops will deliver the best returns, artificial intelligence can help humanity oppose one of its biggest challenges: feeding an additional 2 billion people by 2050 without harming the planet. AI is steadily emerging as an essential part of the agricultural industry’s technological evolution including self-driving machinery and flying robots that are able to automatically survey and treat crops.
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.
Vannot - Video Annotation Tool for Object Segmentation
10 Ways AI is Doing Good & Improving the World
If you're paying attention to the tech media, you've probably heard a lot of the doomsday prophecies around artificial intelligence. A lot of it is scary, but despite some valid concerns, AI is doing a lot of good. Medical treatment, reduced traffic jams, faster disaster recovery, and safer communities – it’s all coming your way.
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.