Computer Sciences
Brian Mitchell and Linda Petzold, two researchers at the University of California, have recently applied model-free deep reinforcement learning to models of neural dynamics, achieving very promising results.
Computer Sciences
Psychology studies have demonstrated that by the age of 4–5, young children have developed intricate visual models of the world around them. These internal visual models allow them to outperform advanced computer vision ...
Robotics
Robots that can closely imitate the actions and movements of humans in real-time could be incredibly useful, as they could learn to complete everyday tasks in specific ways without having to be extensively pre-programmed ...
Robotics
In recent years, roboticists and computer scientists have introduced various new computational tools that could improve interactions between robots and humans in real-world settings. The overreaching goal of these tools is ...
Machine learning & AI
Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human ...
Aug 15, 2023
0
590
Robotics
In recent years, computer scientists have developed increasingly advanced algorithms for controlling the movements of robotic agents. These include model predictive control (MPC) techniques, which use a model of the agent's ...
Computer Sciences
Deep learning models have proved to be very effective for analyzing large amounts of data and accurately predicting future events. This makes them advantageous for a wide range of applications, including weather forecasting.
Computer Sciences
Artificial intelligence systems may be able to complete tasks quickly, but that doesn't mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could ...
Feb 21, 2022
0
211
Computer Sciences
Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would ...
Dec 3, 2020
2
142
Computer Sciences
A team of researchers working with Google's DeepMind division in London has developed what they describe as a Generation Query Network (GQN)—it allows a computer to create a 3-D model of a scene from 2-D photographs that ...
