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The objective is to build an autonomous detection algorithm that is able to determine whether influenza is active or not based on the records of influenza cases.
The proposed approach is a neural-network-based algorithm that enables autonomous mobile manipulator to detect its instable situations.
Last month, a team of Swiss researchers at the Ecole Polytechnique Federale de Lausanne became the first to successfully develop an algorithm that allows autonomous vehicles to merge with manually operated cars equipped with V2V technology.
The researchers developed an algorithm – called an apprenticeship learning algorithm – that enabled the autonomous helicopters to learn to fly by observing human operators flying other helicopters.
This paper presents an algorithm that achieves the transition from autonomous traffic to a predefined start condition for a play.
This paper presents an algorithm that uses visual information to achieve the homing of an autonomous agent inside a previously visited environment.
It is an autonomous algorithm for power control in HetNets that protects victim users from neighboring cells through a penalty factor in the power allocation level.
To solve this problem, we propose a neighbor-friendly autonomous algorithm for power control in wireless heterogeneous networks that protects victim users from neighboring cells through a penalty factor in the power allocation level.
Algorithm that harnesses data from a new sensor could make autonomous robots more nimble.
Urtasun's work on self-driving technology in general, and specifically with perception algorithms that help autonomous vehicles take better measure of their surroundings, have made her an influential figure in the growing self-driving space.
AI risks come in various forms: the risk that autonomous algorithms might accidentally cause a global stock market collapse leading to economic implosion or the idea that we might lose complete control to machines.
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