Artificial intelligence and machine learning can help slow the spread of COVID-19 and find treatments faster. But there are challenges. Image: metamorworks, Getty Images/iStockphoto More about artificial intelligence “In 35 years of practicing medicine, I’ve never seen anything like it.” The words came from a friend who is an ER doctor who was talking with…
Chip maker Intel has been chosen to lead a new initiative led by the U.S. military’s research wing, DARPA, aimed at improving cyber-defenses against deception attacks on machine learning models. Machine learning is a kind of artificial intelligence that allows systems to improve over time with new data and experiences. One of its most common…
As the COVID-19 coronavirus outbreak continues to spread across the globe, companies and researchers are looking to use artificial intelligence as a way of addressing the challenges of the virus. Here are just some of the projects using AI to address the coronavirus outbreak. Using AI to find drugs that target the virusA number of research…
Chip maker Intel has been chosen to lead a new initiative led by the U.S. military’s research wing DARPA, aimed at improving cyber-defenses against deception attacks on machine learning models. Machine learning is a kind of artificial intelligence that allows systems to improve over time with new data and experiences. One of its most common…
Chad Ruff If you’re looking for a strategy to get ahead when it comes to customer acquisition, machine learning can be your secret weapon. While machine learning does fall under the larger category of artificial intelligence (AI), it’s a bit more specific and can be an effective technology to pair with your customer and prospect…
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Depending on who you ask, artificial intelligence (AI) and machine learning (ML) are at different stages of maturity in the finance industry, but there is widespread agreement that the technologies are trending upward. On a global scale, AI is expected to become a major business driver across the financial services industry, according to the World…
Development of cardiovascular AI-CDSS Using the training dataset of 600 patients with and without HF, the AI-CDSS was created using predefined steps including expert-driven knowledge acquisition, machine learning (ML)-driven rule generation, and hybridization of both types of knowledge. Expert-driven knowledge acquisition In the knowledge modeling phase, the clinical recommendations of diagnosis were first transformed into…
Imagine you’ve been diagnosed as Covid-19 positive. Health officials begin contact tracing to contain infections, asking you to identify people with whom you’ve been in close contact. The obvious people come to mind — your family, your coworkers. But what about the woman ahead of you in line last week at the pharmacy, or the…
For decades researchers have envisioned a world where digital user interfaces are seamlessly integrated with the physical environment, until the two are virtually indistinguishable from one another. This vision, though, is held up by a few boundaries. First, it’s difficult to integrate sensors and display elements into our tangible world due to various design constraints….
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