They Spent Years on a Math Problem. Then They Were Scooped by A.I.

Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

An OpenAI model solved a famous math problem that stumped humans for 80 years

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...
BioProcess International

Optimization, Data, and Leadership: Engineering the Shift to Continuous Processing in Biopharmaceutical Manufacturing

As industry shifts to continuous biomanufacturing, engineers integrate process design, digital tools, automation, and ...
TechCrunch

OpenAI claims it solved an 80-year-old math problem — for real this time

OpenAI claims its new reasoning model has produced an original mathematical proof disproving a famous unsolved conjecture in geometry, which was first posed by Paul Erdős in 1946. If this sounds ...
Time

8 Signs You’re the Problem in Your Arguments

Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Personalized Content Follow this tag to personalize your feed and get ...
MD&M East

The Year Medtronic Set an Example for Supply Chain Optimization

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...
IEEE

Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks

Abstract: Knowledge transfer-based evolutionary optimization has garnered significant attention, such as in multitask evolutionary optimization (MTEO), which aims to solve complex problems by ...
Phys.org

Physics-inspired computer architecture solves complex optimization problems

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
Psychology Today

The Solution Problem: Why Solving Problems Often Creates More

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...
USA Today

SEO vs GEO vs AEO: Search Optimization Types, Differences & Examples

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...
Education Week

The Best Ways to Teach Word Problems So All Students Understand

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to apply ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...