DeepCube, an artificially intelligent system learned to dominate Rubik’s Cube without any human intervention. This research could be used to solve real-world problems, such as predicting the 3D shape of proteins.
The algorithm, which uses natural-language processing, managed to beat human scores on the Stanford Question Answering Dataset (SQuAD).
A new type of neural network made with memristors can dramatically improve the efficiency of teaching machines to think like humans.
Swiss robot ANYmal have been taught to do all kinds of helpful things all by itself, such as unplugging itself from a charge, climbing up slight ledges, and most recently, working an elevator.
Approach may enable robots to move around hospitals, malls, and other areas with heavy foot traffic
In debates over the future of artificial intelligence, many experts think of the new systems as coldly logical and objectively rational. But in a new study, researchers have demonstrated how machines can be reflections of us in problematic ways.
Researchers are trying to improve automated planners by giving them the benefit of human intuition. By encoding the strategies of high-performing human planners in a machine-readable form, they were able to improve the performance of planning algorithms by 10 to 15 percent
DeepMind has outlined a process where it trained a neural network to have human-like memory, giving it not only the ability to store data, but also to recall that information and use it to solve novel problems.
A team of scientists at the renowned institution MIT is looking to teach an automaton how to clean up after you in the kitchen.
Researchers with the Hasegawa Group at the Tokyo Institute of Technology have created a robot that is capable of applying learned concepts to perform new tasks. Using a type of self-replicating neural technology they call the Self-Organizing Incremental Neural Network (SOINN), the team has released a video demonstrating the robot’s ability to understand it’s environment and to carry out instructions that it previously didn’t know how to do.
