Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...

Abstract: Incorporating magnetic hysteresis in time-stepped finite element analysis is still challenging as the reluctivity exhibits a discontinuity at the reversal points when using the fixed-point ...

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

Most rural Nebraskans are aware of the use of algorithms in online media and have some concerns about their use, according to results from the 2025 Nebraska ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm of algorithms. Alongside his demanding role steering Gauge AI, he is the ...

Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: ...

For this test, we’re comparing the default models that both OpenAI and Google present to users who don’t pay for a regular ...

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 ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

JavaProb is a comprehensive repository dedicated to solving a wide range of tricky and concept-rich Java problems. Whether you're preparing for technical interviews, enhancing your problem-solving ...

These days, everyone seems to have an opinion about A.I. companions. Last year, I found myself joining the debate, publishing a paper—co-written with two fellow psychology professors and a philosopher ...