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

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

Satellite imagery and artificial intelligence can detect with high accuracy two invasive weed species in Australia, posing a ...

There’s a certain irony to the digital age: we are promised infinite connection, yet our online experiences are increasingly ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Quantum computing promises extraordinary power, but that same power may expose new security weaknesses. Quantum computers are expected to deliver dramatic gains in processing speed and capability, ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

As health insurers increasingly turn to AI, researchers explore the promise of efficiency—and the risk of amplifying existing ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired by the architecture of the human brain, are surprisingly adept .... - Read ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Primal-dual methods in online optimization give several of the state-of-the art results in both of the most common models: adversarial and stochastic/random order. Here we try to provide a more ...