Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on.

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Tohoku University. (2024, December 10). New algorithm boosts multitasking in quantum machine learning. ScienceDaily. Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 12 ...

Because of its machine learning algorithms, it would eventually pick up the patterns. This works much better for discrete data rather than more vague data that might be open to interpretation.

But for Javier Orman the transition from professional violinist to a machine learning engineer at LinkedIn was a surprisingly natural one. Growing up in Montevideo, Uruguay, Orman excelled at both ...

What if people could detect cancer and other diseases with the same speed and ease of a pregnancy test or blood glucose meter ...