Neuroscience News

Aligning Brain Waves and Machine Learning

A new study reveals a noninvasive BCI framework that aligns human neuroplasticity with AI to match invasive accuracies.
Kotaku

Valve’s Steam Machine Is Already Being Scalped For Colossal Prices

Valve has put in a lot of measures to try to contain the levels of scalping of the Steam Machine, from requiring an active Steam account in good standing to a randomized lottery system of ...
ExtremeTech

Valve's Hotly Anticipated Steam Machine Is $1,049—and That's Without a Controller

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Engadget

Valve's Steam Machine starts at $1,049 with 512GB storage and no controller

At long last, Valve has opened up reservations for the Steam Machine and revealed pricing for the system. It starts at $1,049 for a 512GB variant and that's without the new Steam Controller. A bundle ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
IEEE

Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems

In this work, a novel PID-type adaptive iterative learning control (AILC) method is proposed for a class of nonlinear systems with unspecified control gain matrices and bounded iterative-varying ...
IEEE

Deep Reinforcement Learning for Optimizing Inverter Control With Fixed and Adaptive Gain Tuning Strategies for Power System Stability

Abstract: This paper presents novel methods for tuning inverter controller gains using deep reinforcement learning (DRL). A Simulink-developed inverter model is converted into a dynamic-link-library ...