
Which Drug Helps Your Depression?: AI System Matches Patients With the Right Depression Drug
Deep learning can predict how patients will respond to two antidepressant medicines.

Deep learning can predict how patients will respond to two antidepressant medicines.

Deep learning can predict how patients will respond to two antidepressant medicines.

The government of South Korea is supplying personal data to developers of face recognition algorithms.

Flippy 2, a robotic fry station from California-based Miso Robotics, has been newly deployed in a Chicago White Castle location.

The government of South Korea is supplying personal data to developers of face recognition algorithms.

Flippy 2, a robotic fry station from California-based Miso Robotics, has been newly deployed in a Chicago White Castle location.

The cost of training top-performing machine learning models has grown beyond the reach of smaller companies.

The cost of training top-performing machine learning models has grown beyond the reach of smaller companies.

Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.

Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.

Deep learning is helping to protect elderly people from potentially catastrophic tumbles.What’s happening: More than 2,000 senior living facilities across the U.S. use a diagnostic system called VirtuSense Balance

Deep learning is helping to protect elderly people from potentially catastrophic tumbles.What’s happening: More than 2,000 senior living facilities across the U.S. use a diagnostic system called VirtuSense Balance

Compression methods like parameter pruning and quantization can shrink neural networks for use in devices like smartphones with little impact on accuracy — but they also exacerbate a network’s bias.

Compression methods like parameter pruning and quantization can shrink neural networks for use in devices like smartphones with little impact on accuracy — but they also exacerbate a network’s bias.

The activation function known as ReLU builds complex nonlinear functions across layers of a neural network, making functions that outline flat faces and sharp edges. But how much of the world breaks down into perfect polyhedra?
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