Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
InfoWorld

Visual Studio adds GitHub Copilot unit testing for C#

GitHub Copilot testing for .NET in Visual Studio 2026 v18.3 can generate tests for the xUnit, NUnit, and MSTest test frameworks. Microsoft has made GitHub Copilot testing for .NET, a new capability in ...
New York Post

Chilling ‘vending machine test’ proves AI will do ‘whatever it takes’ to get its way

This doesn’t bode well for humanity. Just in case bots weren’t already threatening to render their creators obsolete: An AI model redefined machine learning after devising shockingly deceitful ways to ...
JD Supra

IP Hot Topic: Federal Circuit’s RPI v. Amazon Questioning Tests the Boundaries of Machine Learning Patent Eligibility Post-Recentive

Less than a year after holding that generic machine-learning patents are abstract in Recentive Analytics, Inc. v. Fox Corp., the Federal Circuit may be refining where to draw the line on patent ...
SDxCentral

Telstra tests quantum machine learning for network automation

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...
C&EN

Basic Stability Tests of Machine Learning Potentials for Molecular Simulations in Computational Drug Discovery

Recursion, Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K. Exscientia, Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K. Recursion ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

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 ...
Frontiers

Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach

A total of 11,429 participants were recruited across South Korea and underwent the CAT. Of these, 7,737 were diagnosed with ADHD, including 6,772 with comorbid psychiatric conditions. Additionally, ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...