A professor and researcher who studies AI and health care analytics explains why AI’s growth will be gradual, and how technical limitations and ethical concerns stand in the way of AI’s widespread ...

Andes AutoOpTune™ is available as a separately licensable plugin of AndeSight™ v5.4 and supports all Andes RISC-V processors. Via simple option tuning and recompilation, developers can gain extra ...

A hybrid intelligent algorithm integrating Q-learning is innovatively designed, using a genetic algorithm as the main framework while embedding a quay crane allocation module and dynamically selecting ...

During the process of determining the arrival directions and beam conformation at the antennas, different types of algorithms can be used, namely deterministic algorithms and heuristics. Genetic ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Researchers have developed a new technology that improves the precision and integration density of synthetic genetic circuits.

Genetic variation operators in grammar-guided genetic programming are fundamental to guide the evolutionary process in search and optimization problems. However, they show some limitations, mainly ...

Luke Fox: The goal of using the genetic algorithm was to create an optimal massing that prioritized the creation of a central public square and maximized views for the building's occupants.

Amid the genetic medicines arms race, Flagship Pioneering is unveiling a new company to help biotechs fine-tune the precision of their therapies.