A new encryption method developed at Florida International University aims to secure digital content against the threat posed ...

Jobs surviving AI until 2030 include surprising roles that resist automation - discover which careers will outlast the robot ...

New benchmark study results show leading AI models, including ChatGPT, Claude, and Gemini, still lag humans in visual math ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

After years of creating highly specialized software, researchers used supercomputer clusters to finally solve the ...

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

Recently, I’ve spent a lot of time using AI to work on Erdős problems. The work itself is technical, but the lesson it ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of ...

The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...