Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
IEEE

Model-Free Inverse Optimal Control for Completely Unknown Nonlinear Systems by Adaptive Dynamic Programming

Abstract: This article presents an inverse optimal control (IOC) approach for nonlinear polynomial systems based on adaptive dynamic programming (ADP). First, a novel model-based algorithm is ...

The Future of Investing: How Artificial Intelligence Is Reshaping Stock Analysis And Portfolio Management

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...
VentureBeat

Google and OpenAI’s coding wins at university competition show enterprise AI tools can take on unsolved algorithmic challenges

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...
SciELO

Solving the unit commitment problem of hydropower plants via Lagrangian Relaxation and Sequential Quadratic Programming

We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...
SciELO

A Heuristic Algorithm Based on Line-up Competition and Generalized Pattern Search for Solving Integer and Mixed Integer Non-linear Optimization Problems

The global optimization of integer and mixed integer non-linear problems has a lot of applications in engineering. In this paper a heuristic algorithm is developed using line-up competition and ...
Frontiers

Decentralized nonlinear model predictive control-based flock navigation with real-time obstacle avoidance in unknown obstructed environments

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...
snhu

What Computer Science Skills You Need to Succeed

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.
Interesting Engineering

15 of the Most Important Algorithms That Helped Define Mathematics, Computing, and Physics

Algorithms are pre-defined, self-contained sets of instructions designed to execute diverse functions, and they have been around for longer than you might expect. From ancient Babylon to the present ...
IEEE

Neural Network Control Based on Nonlinear Autoregressive Exogenous Model and Adaptive Dynamic Programming Algorithm for High-Gain DC-DC Converter

Abstract: DC-DC converters are extensively deployed across a range of new energy applications. However, traditional control methods that rely on accurate state space models encounter limitations in dc ...
acm.org

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...