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

Showing 1 to 10 of 51 articles

Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Abiotic stresses such as drought, heat, cold, salinity and flooding significantly impact plant growth, development and productivity. As the planet has warmed, these abiotic stresses have increased in frequency and intensity, affecting the global food...

Elements of episodic memory: insights from artificial agents.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Many recent artificial intelligence (AI) systems take inspiration from biological episodic memory. Here, we ask how these 'episodic-inspired' AI systems might inform our understanding of biological episodic memory. We discuss work showing that these ...

Synthesizing the temporal self: robotic models of episodic and autobiographical memory.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Episodic memories are experienced as belonging to a self that persists in time. We review evidence concerning the nature of human episodic memory and of the sense of self and how these emerge during development, proposing that the younger child exper...

Minds in movement: embodied cognition in the age of artificial intelligence.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
This theme issue brings together researchers from diverse fields to assess the current status and future prospects of embodied cognition in the age of generative artificial intelligence. In this introduction, we first clarify our view of embodiment a...

Active inference goes to school: the importance of active learning in the age of large language models.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Human learning essentially involves embodied interactions with the material world. But our worlds now include increasing numbers of powerful and (apparently) disembodied generative artificial intelligence (AI). In what follows we ask how best to unde...

Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Automated sensors have potential to standardize and expand the monitoring of insects across the globe. As one of the most scalable and fastest developing sensor technologies, we describe a framework for automated, image-based monitoring of nocturnal ...

Multi-year soundscape recordings and automated call detection reveals varied impact of moonlight on calling activity of neotropical forest katydids.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Night-time light can have profound ecological effects, even when the source is natural moonlight. The impacts of light can, however, vary substantially by taxon, habitat and geographical region. We used a custom machine learning model built with the ...

Shaping new norms for AI.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
As artificial intelligence (AI) becomes increasingly integrated into our lives, the need for new norms is urgent. However, AI evolves at a much faster pace than the characteristic time of norm formation, posing an unprecedented challenge to our socie...

Bridging adaptive management and reinforcement learning for more robust decisions.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
From out-competing grandmasters in chess to informing high-stakes healthcare decisions, emerging methods from artificial intelligence are increasingly capable of making complex and strategic decisions in diverse, high-dimensional and uncertain situat...

The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
In face-to-face interactions, parties rapidly react and adapt to each other's words, movements and expressions. Any science of face-to-face interaction must develop approaches to hypothesize and rigorously test mechanisms that explain such interdepen...