In federal court, why would one judge waive filing fees 20 percent of the time, while another judge from the very same district waives them some 80 percent of the time? It’s a curious discrepancy surfaced last year by the research team at SCALES, a project that’s applying machine learning to court-record data so legal researchers…
Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year. The algorithm–an example of what is known as machine learning, or artificial intelligence (AI)–outperformed other clinically used predictors, including pooled cohort equations and the Seattle Heart Failure score. The results of the study…
A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers at the University of Birmingham. Patients with depression or psychosis rarely experience symptoms of purely one or the other illness. Historically, this has meant that mental health clinicians give a diagnosis…
Over the past few years, the financial world has been increasingly adopting smart solutions to cope with the industry’s changing landscape. Artificial intelligence (AI) and machine learning (ML) have almost thoroughly infiltrated almost every area imaginable, from back-end processes to forward-facing front-end roles. In 2019, the use of AI in Fintech alone reached an estimated…
1. Samuel, A. L. in Computer Games I (ed. Levy D.N.L.) 366–400 (Springer New York, 1988). 2. Fletcher, K. H. Matter with a mind; a neurological research robot. Research 4, 305–307 (1951). CAS PubMed Google Scholar 3. Kononenko, I. Machine learning for medical diagnosis: history, state of the art and perspective. Artif. Intell. Med. 23,…
(© amenic181 – shutterstock) Finance leaders have more data at their fingertips than ever before. Then why is it so difficult to see the forest for the trees? Since the forest of data is so huge, finance professionals can find it difficult to pick out broader patterns, trends, or inconsistencies. These are the key insights…
A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers at the University of Birmingham. Patients with depression or psychosis rarely experience symptoms of purely one or the other illness. Historically, this has meant that mental health clinicians give a diagnosis…
Article 0 Comments A machine learning algorithm may give organizations a powerful and cost-effective tool for defending against attacks on vulnerable computer networks and cyber-infrastructure, often called zero-day attacks, according to researchers. These zero-day attacks can quickly overwhelm traditional defenses, resulting in billions of dollars of damage and requiring weeks of manual patching work to…
By Jessica Kent An artificial intelligence method can help combat emerging COVID-19 mutations by identifying the best potential vaccines to treat the virus, according to a study published in Scientific Reports. As COVID-19 begins to mutate in populations globally, scientists are concerned that the mutations will minimize the effectiveness of vaccines that are now being…
Your ability to explain artificial intelligence and its components to business leaders could mean the difference between acceptance and resistance. Here’s how to do it.When I visit with non-IT corporate executives and ask them about artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), they tell me that they have initiatives underway. But…
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