Scientists Grew Mini Brains, Then Trained Them to Solve an Engineering Problem

Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Brain organoids can be trained to solve a goal-directed task

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...

Machine learning helps solve a central problem of quantum chemistry

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Inside PCL’s push to bring order to industrial project data

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
Edutopia

Making Use of a Worked Example to Improve Learning

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

AI Can Solve Many Complex Problems, So Why Isn’t Science Moving Faster?

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
IEEE

An Efficient Method for Solving the Traveling Salesman Problem Using Modern Optimization Algorithms

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
Nature

Quantum computers will finally be useful: what’s behind the revolution

Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that could solve complex tasks, such as predicting how chemicals react or cracking ...
IEEE

A Two-Stage Learning-Driven Many-Objective Memetic Algorithm for Solving the Workflow Scheduling Problem in Cloud Environment

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...
GitHub

problem-solving-algorithms

This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...
GitHub

problem-solving-patterns

This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...
Hosted on MSN

Projectile motion practice: Solved physics problem examples

Practice projectile motion with fully solved physics problem examples. This video walks through step-by-step solutions to help you understand equations, motion components, and problem-solving ...