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When evidence can be deepfaked, how do courts decide what’s real?
AI is pushing Canada’s justice system toward a crisis of trust The post When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real? first appeared on The Walrus.
SJ Group CEO Sean Chiao explains why regenerative design and AI are redefining how cities are planned, built and operated - ...
Foundational Concepts In The Topics Of AI So, what exactly is Artificial Intelligence, anyway? It’s basically the ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a table. Instead of chemical elements, the new chart arranges learning ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...
Karen is a writer and editor with more than 25 years of print and digital media experience working in newspapers, educational publishing, marketing, nonprofits, and magazines. If you want to bring a ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
ABSTRACT: Predicting the exact duration of sick leave in patients with tuberculosis remains challenging due to the heterogeneity of recovery trajectories. This study uses machine learning to estimate ...
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