On a more basic level, [Gigante] did just that, teaching a neural network to play a basic driving game with a genetic algorithm. The game consists of a basic top-down 2D driving game.

By learning the relevant features of clinical images along with the relationships between them, the neural network can ...

By using a neural network-based decoupling algorithm, the team was able to resolve spectral interference within the existing system, reducing both the complexity and cost of the design.

AI has exploded in the public consciousness in recent years, but the ground for much of this progress had been laid more than a decade ago. The story of modern artificial intelligence is often told th ...

Training algorithm breaks barriers to deep physical neural networks. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 12 / 231207161444.htm ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

However, that’s not the kind of thing we see at the moment with deep neural networks. Algorithms can lead to suboptimal solutions. Another difference, which Veličković noted, ...

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 ...