From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Section 101 eligibility remains one of the most unpredictable and frequently contested areas of U.S. patent practice, particularly for ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Digitally remastered episodes of the beloved period drama "Mad Men" debuted on HBO Max this week with a host of production errors that inexplicably made their way to the streaming platform. HBO Max ...

Feasibility and Acceptability of Collecting Passive Smartphone Data for Potential Use in Digital Phenotyping Among Family Caregivers and Patients With Advanced Cancer This study applied three ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

Machine translators have made it easier than ever to create error-plagued Wikipedia articles in obscure languages. What happens when AI models get trained on junk pages? When Kenneth Wehr started ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Department of Foreign Languages, Qilu Normal University, Jinan, China. Driven by globalization, social media has become a key field for cross-cultural communication. Since 2019, the U.S. government, ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...