Imperial College London

A New AI Research Introduces A Novel Enhanced Prompting Framework for Text Generation

AI Shorts
The natural language creation field is completely transformed by large language models (LLMs). Traditional fine-tuning approaches for responding to downstream tasks require access to the parameters of LLMs, which limits their use on potent black-box LLMs...

Meet PRODIGY: A Pretraining AI Framework That Enables In-Context Learning Over Graphs

AI Shorts
The GPT model, which is the transformer architecture behind the well famous chatbot developed by OpenAI called ChatGPT, works on the concept of learning tasks with the help of only a few examples. This approach, called...

Researchers Analyze the Current Findings on Confidential Computing-Assisted Machine Learning ML Security and Privacy Techniques Along with the Limitations in Existing Trusted Execution Environment...

AI Paper Summary
The evolution of machine learning (ML) offers broader possibilities of use. However, wide applications also increase the risks of large attack surface on ML's...

Researchers at Imperial College London Developed Deep Learning-Based Choice Models Under Feature-Free and Feature-Based Settings of Choice Modeling

Deep Learning
Choice modeling tries to simulate a person's or a group's decision-making process using preferences disclosed or explicitly stated in a given setting or circumstances....

Researchers From Imperial College London Have Developed A New Machine Learning Model That Uses Social Media Data To Predict And Monitor Wildfires More Accurately...

Artificial Intelligence
As social media use has grown over the last decade, people have developed a tendency to write about events occurring surrounding them on social...

Imperial College London Researchers Develop a New Method That Could Drastically Cut Artificial Intelligence’s (AI’s) Energy Use

AI Paper Summary
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Reconfigurable Training and Reservoir Computing in an Artificial Spin-Vortex Ice...

Researchers From Imperial College London introduce TsT-GAN: A Novel Framework For Training Time-Series Generative Models

AI Paper Summary
Nowadays, data is considered a fuel in the data analytics field. The real-time applications require time series data for analysis and future prediction. But...

Researchers From Imperial College London have Developed ‘NeatNet’: A Machine Learning Tool For Robots To Tidy Up Home Environments Similar To An Individuals preference

AI Paper Summary
As robots become more advanced and less expensive, more people may incorporate them into their homes. As a result, several roboticists have been working...

Imperial College London Researchers Propose A Novel Randomly Connected Neural Network For Self-Supervised Monocular Depth Estimation In Computer Vision

AI Paper Summary
Depth estimation is one of the fundamental problems in computer vision, and it's essential for a wide range of applications, such as robotic vision...

Researchers From Imperial College London Introduces ‘HeadGAN’, A Novel One-Shot GAN-Based Method For Talking Head Animation And Editing

AI Paper Summary
While recent attempts to solve the problem of head reenactment using a single reference image have shown promising results, most of them perform poorly...

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