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 ...

To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...

Experts in anthropology and cybersecurity are examining the unspoken knowledge shared by cybersecurity analysts as a way to develop new automated tools that help analysts strengthen their cyber ...

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 ...

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 ...

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 ...