Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don’t always tell the truth when providing personal information.
Columbia engineers build Emo, a silicon-clad robotic face that makes eye contact and uses two AI models to anticipate and replicate a person’s smile before the person actually smiles
The quadrupedal robot ANYmal went back to school and has learned a lot. ETH Zurich researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.
In the blink of an eye, the unruly, superheated plasma that drives a fusion reaction can lose its stability and escape the strong magnetic fields confining it within the donut-shaped fusion reactor.
Gaining a comprehensive understanding of the distinct capabilities and applications of TPUs and GPUs is crucial for developers and researchers aiming to navigate the complex and rapidly changing terrain of artificial intelligence.
Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
As network reliability is increasingly tested by aging power infrastructure and the complex demands of renewable energy, cellular IoT provides timely solutions.
In this episode, we talk about how a driven undergraduate student from Columbia University mapped fingerprints from different fingers of the same person - which was widely known to be impossible by the experts in the field - using publicly available data and machine learning.
Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user’s hand.
New research from Carnegie Mellon University’s Department of Mechanical Engineering and the Human+AI Design Initiative underlines the adage “teamwork makes the dream work,” especially when it comes to human-AI collaboration.