Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
会員(無料)になると、いいね!でマイページに保存できます。 Googleは同社のクラウドに関するイベント「GCP Next 2016」を3月23日、24日の2日間にわたり米サンフランシスコで開催しています。 初日の基調講演で、最後の話題は機械学習(Machine Learning)でした。
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...