Keywords. digital economy, sustainability, carbon neutrality, perception, visual contents, AI, deep learning, computer vision. Aims and Methods. Read more
We are pleased to announce a new PhD opportunity that specifically focuses on the analysis of visual culture in, from or in relation to Japan. Read more
In addition to supporting our conscious perception of the world around us, light and visual stimuli exert wide ranging effects on animal physiology and behaviour via hard-wired ‘reflexes’ which range from simple effects of light on sleep, alertness and neuroendocrine function to the avoidance of rapidly approaching objects. Read more
The proposed project will explore the relationship and tensions in visual culture and politics/ideology in moments of intense socio-political change brought about by rebellion, protest, revolution, regime change, ideological ruptures, collapse of political systems and so forth. Read more
Artificial neural networks, and the brains that inspired them, operate on information distributed across many nodes. This distributed information is sometimes called a representation. Read more
Events record dynamic changes in environments. They are sparse, but an important information source that draw our attention and make us aware of the dynamic surroundings. Read more
Artificial neural networks, and the brains that inspired them, operate on information distributed across many nodes. This distributed information is sometimes called a representation. Read more
Research degrees in Film Studies at Birmingham are supervised by faculty in the Department of Film and Creative Writing and in the Department of Modern Languages, which allows you to benefit from our interdisciplinary approach and breadth of expertise. Read more
Overview. Are you interested in learning how the human brain understand people's activities in a scene much better than existing computer systems? It is proposed that people combine prior knowledge of scenes with visual features to understand complex activities (e.g., hugging vs fighting). . Read more
Human and animal learning are naturally in the so-called semi-supervised mode of learning, i.e. with a limited teaching but more of self-training experiments. Read more
Reinforcement learning (RL) enables agents to learn optimal policies by interacting with the environment. The agent collects experience from trial-and-error and optimises its action rules from the environment feedback. Read more
Expected start date. Late September 2023. Bark beetles (family Scolytidae) are important components of forest ecosystems with certain species being pests that may cause significant loss to the forestry sector. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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