Simulating particles is a relatively simple task when those particles are spherical. In the real world, however, most particles are not perfect spheres, but take on irregular and varying shapes and sizes. Simulating these ...
New research using neural networks, a form of brain-inspired AI, proposes a solution to the tough challenge of modeling the states of molecules.
In a study published22 August in Cell Reports Physical Science, a team led by Dr. Yoshikatsu Hayashi demonstrated that a simple hydrogel—a type of soft, flexible material—can learn to play the simple 1970s computer game "Pong." ...
The rapid development of technologies such as the internet, mobile communications, and artificial intelligence has dramatically increased the demand for high-capacity communication systems. Among various solutions, mode-division ...
Creativity is the art of combining diverse ideas, making meaningful connections between concepts, and remaining focused to produce innovative ideas and useful solutions. Expansive and remote associations drive the generation ...
Researchers have developed a new two-photon fluorescence microscope that captures high-speed images of neural activity at cellular resolution. By imaging much faster and with less harm to brain tissue than traditional two-photon ...
New research from Hebrew University proposes a novel, non-memory-based mechanism for how animals cache and retrieve food. Instead of relying on memory, the researchers suggest that animals use a neural mechanism similar to ...
Researchers led by Prof. Husi Letu from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences have developed a novel algorithm for measuring cloud properties using neural networks.
EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they used scattered ...
With the development of artificial intelligence technology, various artificial hardware neural networks such as recursive neural networks, convolutional neural networks, and spiking neural networks have been proposed to meet ...
