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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...

An Artificial Intelligence (AI) System Learns to Play Soccer from Scratch: From Motor Control to Team Play in Simulated Humanoid Football

AI Paper Summary
Human behavior is organized on various levels, from millisecond muscle twitches to cognitive judgments made in hundreds of milliseconds to longer-term socially informed goal-directed...

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....

Deepmind Researchers Introduce ‘Transframer’: A General-Purpose AI Framework For Image Modelling And Computer Vision Tasks Based On Probabilistic Frame Prediction

AI Paper Summary
Transframer is a new general-purpose framework for image modeling and vision applications based on probabilistic frame prediction released by Deepmind researchers. This new paradigm...

A Latest Machine Learning Research Brings A Novel Explanation For Performance Deterioration of Deeper Graph Neural Networks GNNs

AI Paper Summary
An essential tool for analyzing graph data, such as social networks, transportation networks, molecular networks, biological networks, financial transaction networks, academic citation networks, and...

DeepMind AI Research Group Grounds the Causal Modeling of Artificial Intelligence Systems by Introducing an Algorithm for Discovering Agents from Empirical Data

AI Paper Summary
Artificially intelligent (AI) agents are increasingly being adopted for various tasks. Studies have concluded that the goal-directed behavior of AI agents may be dangerous...

Researchers at Oxford University Propose a Machine Learning Framework Called ‘TriSegNet’ Based on Triple-View Feature Learning for Medical Image Segmentation

AI Paper Summary
Deep learning's potential performance for medical imaging depends not only on the design of the network architecture but also on the availability of a...

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...

DeepMind Expands Predicted Structures For Nearly All Cataloged Proteins Increasing AlphaFold DB’s Size By Over 200x

AI Shorts
Proteins are the foundation for all biological processes in all living things and are the basic building blocks of life. Knowing a protein's structure...

Researchers from DeepMind and University College London Propose Stochastic MuZero for Stochastic Model Learning

AI Paper Summary
Recent research has shown that model-based reinforcement learning is incredibly effective. However, learning a model separately from using it during planning can be challenging...

Google Researchers Open-Source the TensorFlow GNN (TF-GNN): A Scalable Python Library for Graph Neural Networks in TensorFlow

AI Paper Summary
Graph-native neural networks, or GNNs, offer a user-friendly method for performing node-level, edge-level, and graph-level prediction tasks. These deep learning techniques are specifically made...

Inspired by Developmental Psychology, Deepmind Researchers Develop a Deep Learning Model to Learn Intuitive Physics

AI Paper Summary
Atari video games, board games like chess and go, scientific difficulties like protein folding, and language modeling—all of these activities are now being mastered...
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