Any biology student can pick a neuron out of a photograph. Training a computer to do the same thing is much harder. Jan Funke, a computational biologist at the Howard Hughes Medical Institute’s ...

Editorial Note: Forbes Advisor may earn a commission on sales made from partner links on this page, but that doesn't affect our editors' opinions or evaluations. There is a lot of buzz around ...

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...

In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

Proteins are the molecular machines that sustain every cell and organism, and knowing what they look like will be critical to untangling how they function normally and malfunction in disease. Now ...

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...