Tension: Marketers keep optimizing for yesterday’s algorithms while platforms have quietly rewritten the rules of visibility ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

As artificial intelligence reshapes white-collar work, a new national poll reveals a decisive shift in how Americans define career success. Most now value hands-on skills over formal degrees, seeing ...

Automation has reshaped work over the past few decades, bringing notable improvements in speed, scale, and efficiency across industries. Consequently, machines and software took over repetitive tasks, ...

The day when quantum computers will be able to break conventional encryption is rapidly approaching, but not all companies ...

It claims that its students learn twice as fast and score in the top 1% to 2% on MAP testing, a nationwide measure of growth in reading and math for K-8 students.

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...

When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult ...

As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ROAS.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

1 School of Management, University of Shanghai for Science and Technology, Shanghai, China 2 Institute of Mathematical Sciences ICMAT-CSIC, Madrid, Spain In the open capacitated location-routing ...