AI Medical Compendium Journal:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Showing 11 to 20 of 51 articles

A study of transfer of information in animal collectives using deep learning tools.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
We studied how the interactions among animals in a collective allow for the transfer of information. We performed laboratory experiments to study how zebrafish in a collective follow a subset of trained animals that move towards a light when it turns...

Major evolutionary transitions in individuality between humans and AI.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
That humans might undergo future evolutionary transitions in individuality (ETIs) seems fanciful. However, drawing upon recent thinking concerning the origins of properties that underpin ETIs, I argue that certain ETIs are imminently realizable. Cent...

New Approaches to 3D Vision.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of how animals navigate the 3D world, and new insights into human perception in virtual and augmented reality. Whilst tra...

A rubric for human-like agents and NeuroAI.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Researchers across cognitive, neuro- and computer sciences increasingly reference 'human-like' artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often inconsistent. Contributed research ranges widely from mimicking , ...

Learning robotic navigation from experience: principles, methods and recent results.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Navigation is one of the most heavily studied problems in robotics and is conventionally approached as a geometric mapping and planning problem. However, real-world navigation presents a complex set of physical challenges that defies simple geometric...

CardioVinci: building blocks for virtual cardiac cells using deep learning.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Advances in electron microscopy (EM) such as electron tomography and focused ion-beam scanning electron microscopy provide unprecedented, three-dimensional views of cardiac ultrastructures within sample volumes ranging from hundreds of nanometres to ...

Experiments in artificial culture: from noisy imitation to storytelling robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
This paper presents a series of experiments in collective social robotics, spanning more than 10 years, with the long-term aim of building embodied models of (aspects of) cultural evolution. Initial experiments demonstrated the emergence of behaviour...

Social learning in swarm robotics.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
In this paper, we present an implementation of social learning for swarm robotics. We consider social learning as a distributed online reinforcement learning method applied to a collective of robots where sensing, acting and coordination are performe...

Artificial evolution of robot bodies and control: on the interaction between evolution, learning and culture.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
We survey and reflect on how learning (in the form of individual learning and/or culture) can augment evolutionary approaches to the joint optimization of the body and control of a robot. We focus on a class of applications where the goal is to evolv...

The shallow of your smile: the ethics of expressive vocal deep-fakes.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Rapid technological advances in artificial intelligence are creating opportunities for real-time algorithmic modulations of a person's facial and vocal expressions, or 'deep-fakes'. These developments raise unprecedented societal and ethical question...