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 ...
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.
Hi Tech & Innovation
A few years ago, MIT researchers invented a cryptographic ID tag that is several times smaller and significantly cheaper than the traditional radio frequency tags (RFIDs) that are often affixed to products to verify their ...
Feb 18, 2024
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Automotive
Researchers at the University of California (UC), Berkeley, have recently developed a generative model that can predict the sequential motions of pairs of interacting agents, including self-driving vehicles as well as vehicles ...
Security
A research team at Illinois Institute of Technology has extracted personal information, specifically protected characteristics like age and gender, from anonymous cell phone data using machine learning and artificial intelligence ...
Oct 12, 2022
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82
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
A team of New York University computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks—the engines that drive ...
Oct 6, 2023
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144
Robotics
To efficiently navigate their surrounding environments and complete missions, unmanned aerial systems (UASs) should be able to detect multiple objects in their surroundings and track their movements over time. So far, however, ...
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
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211
Computer Sciences
Deep learning models have proved to be highly promising tools for analyzing large numbers of images. Over the past decade or so, they have thus been introduced in a variety of settings, including research laboratories.
