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 ...

Google announces Gemini 3.1 Pro, says it’s better at complex problem-solving

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

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 ...

AI system TongGeometry generates and solves olympiad-level geometry problems

The International Mathematical Olympiad (IMO) is a prestigious competition featuring talented high school students from around the world, in which competitors solve complicated mathematical problems.
MarketWatch

College sports has a new money problem — and St. John’s may be the latest example: ‘It’s the Wild West’

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...
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 ...
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 ...