Algorithmic fairness aims to remedy issues stemming from algorithmic bias.
Marina Krakovsky
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A focus on causality is promising to help researchers overcome shortcomings that have bedeviled more traditional approaches to artificial intelligence.
The architect of the Sagrada Familia appears to have done parametric modeling in his head; software is helping to complete the structure a century later.
Artificial (Emotional) Intelligence
Enabled by advances in computing power and neural networks, machines are getting better at recognizing and dealing with human emotions.
While 3D technologies that make headlines are not truly holographic, holographic techniques are furthering advances in important applications such as biomedical imaging.
The power of deep neural networks has sparked renewed interest in reinforcement learning, with applications to games, robotics, and beyond.
The latest in machine learning helps high-energy physicists handle the enormous amounts of data produced by the Large Hadron Collider.
ACM-Infosys Foundation Award recipient David Blei recalls the origins of his famous topic model, its extensions, and its uses in areas that continue to amaze him.
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