Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

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.

The algorithm uses supervised learning with known histopathology diagnoses (malignant and nonmalignant) as the labels for algorithm training. MIA3G is a classification deep feedforward neural network ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.

Neuton is a neural network framework, which Bell Integrator claims is far more effective than any other framework and non-neural algorithm available on the market.

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data ...