For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where ...

1 Recent advancements in the technological capabilities of central processing units (CPUs), graphics processing units (GPUs), and learning algorithms ... deep learning (DL) in neuroimaging ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

Image processing ... PCA (Principal Component Analysis). OpenCV is a well-known computer vision library that provides numerous algorithms and utilities to support the algorithms. The modules for ...

These platforms, equipped with deep learning algorithms, have opened a world of possibilities ... Several key insights emerge from the market analysis. In 2022, North America emerged as the dominant ...

Decentralized smart grids are especially prone to cyberattacks due to their edge-based architecture, which integrates ...