The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...
OpenAI's new Spark model codes 15x faster than GPT-5.3-Codex - but there's a catch ...
Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...
“Codex-Spark is the first step toward a Codex that works in two complementary modes: real-time collaboration when you want ...
We are currently seeking two highly motivated Doctoral Researchers to join the Department of Electrical Engineering at Aalto University, Finland, within a Horizon Europe research project focused on ...
James Chen, CMT is an expert trader, investment adviser, and global market strategist. Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, researcher, and ...
TIOBE Index for February 2026: Top 10 Most Popular Programming Languages Your email has been sent February’s TIOBE Index shows a leaderboard that looks steady at first glance, but small shifts beneath ...
Dynamic networks are networks that vary over time; their vertices are often not binary and instead represent a probability for having a link between two nodes. Statistical approaches or computer ...
Abstract: In this paper, the novel prescribed-time dynamic event-triggered control method of an unknown multiplayer nonzero-sum game (MP-NZSG) is designed by using adaptive dynamic programming (ADP).
Assisted reproductive technologies (ART) have become an integral component of infertility care worldwide. Alongside their widespread clinical use, growing ...
Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...
Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
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