PsyPost on MSN

Music training may buffer children against the academic toll of poverty

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...
GamesRadar+

Rust dev shoots down hopes of playing the hit survival game on Valve's Steam Machine: "There are no plans to support Proton or Linux"

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. On Reddit, a player requested Rust turn on Proton in order to make the Steam Machine feasible.
balkaninsight

TikTokcracy: When Algorithms Manufacture Support and Decide Elections

A study of recent electoral cycles in Romania, Bulgaria and Kosovo shows what can happen when algorithms are allowed to hack democracy. This new ‘TikTokcracy’ must not go unchallenged. In December ...
Santa Cruz Sentinel

Santa Cruz County property owners support vector control assessment

SANTA CRUZ — With the ballots all tabulated, Santa Cruz County property owners have voiced their support for a new benefit assessment meant to curb the spread of nuisance bugs and the potentially ...
Business Insider

Uber and DoorDash now disclose when algorithms set prices. There's still one big question.

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Alex Bitter Every time Alex publishes a story, you’ll get an alert straight to your inbox!
TheServerSide

Sample Questions for AWS' Machine Learning Associate Certification

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Machine Learning Associate certification validates your ability to configure, build, and ...
IEEE

A Method of Selecting Negative Examples from Clinical EEG by Combining Ensemble Learning and Uncertainty Estimation

Abstract: Electroencephalogram (EEG) analysis is a critical tool for diagnosing various neurological disorders. Intelligent EEG models facilitate the analysis and diagnosis of these conditions.
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
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 ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

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 ...
IEEE

Efficient Sports Training Periodization through Cloud-Based Support Vector Machines

Abstract: A unique technique to optimize sports training periodization tactics is proposed in this paper, which utilizes cloud-based support vector machines (SVMs). Static planning, which is at the ...