Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems. These approaches focus on reducing the number of edges in a ...

Evolutionary algorithms (EAs) represent a class of heuristic optimisation methods inspired by natural selection and Mendelian genetics. They iteratively evolve a population of candidate solutions ...

NEW YORK CITY, Nov. 4, 2021 – Q-CTRL, a startup that applies the principles of control engineering to accelerate the development of quantum technology, today announced the results of benchmarking ...

Scientists from India's GMW Institute of Technology, the M. Kumarasamy College of Engineering, and the National Institute of Technology have used a new bio-inspired optimization algorithm, known as ...

A group of researchers from Lanzhou Jiaotong University in China has developed a maximum power point tracking (MPPT) technique based on an improved snake optimizer (ISO) algorithm. The ISO is a ...

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...

The single technique for teaching neural networks multiple skills is a step towards general-purpose AI. If you can recognize a dog by sight, then you can probably recognize a dog when it is described ...

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

Several neuropsychiatric disorders are characterized by too many or too few synapses in key brain circuits. Now, a new machine learning algorithm should help advance studies of these diseases by ...