Researchers create a privacy technique that protects sensitive data while maintaining a machine-learning model’s performance.
A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.
The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.
The three-fingered robotic gripper can “feel” with great sensitivity along the full length of each finger – not just at the tips.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.
By mapping the volumes of objects, rather than their surfaces, a new technique could yield solutions to computer graphics problems in animation and CAD.
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
A new low-temperature growth and fabrication technology allows the integration of 2D materials directly onto a silicon circuit, which could lead to denser and more powerful chips.
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Researchers have created a method to help workers collaborate with artificial intelligence systems.
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
A new method automatically describes, in natural language, what the individual components of a neural network do.
The machine-learning model could help scientists speed the development of new medicines.
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.