Strategic Linear Contextual Bandits – Apple Machine Learning Research
Motivated by the phenomenon of strategic agents gaming a recommender system to maximize the number of times users are recommended, ...
Tag: Machine
Google AI launches Population Dynamics Core Model (PDFM) – a machine learning framework designed to power downstream geospatial modeling
Supporting the health and well-being of diverse global populations requires a nuanced understanding of the complex relationships between human behavior ...
How to solve a simple problem with machine learning | by Oscar Leo | December 2024
ML Lessons for Managers and EngineersA technical tutorial for lesson oneImage created by the author.Welcome back to the second lesson ...
GRAF: A machine learning framework that converts multiplexed heterogeneous networks into homogeneous networks to make them more suitable for graph representation learning
Real-world networks, such as those in biomedical and multi-omics datasets, often exhibit complex structures characterized by multiple types of nodes ...
Improving health, one machine learning system at a time | MIT News
Captivated by video games and puzzles since she was a child, Marzyeh Ghassemi was also fascinated by health from an ...
Can robots learn from machine dreams? | MIT News
For roboticists, there is one challenge that stands out above all others: generalization: the ability to create machines that can ...
Racing into the future: How AWS DeepRacer fueled my AI and machine learning journey
In 2018, I sat in the audience at AWS re:Invent when Andy Jassy announced AWS DeepRacer, a fully autonomous 1/18 ...
This UC Berkeley AI article presents Pie: a machine learning framework for transparent performance sharing and adaptive expansion in LLM inference
The use of large language models (LLM) has revolutionized artificial intelligence applications, enabling advances in natural language processing tasks such ...
This Machine Learning Paper Transforms the Efficiency of Embedded AI: New Scaling Laws to Optimize Model and Dataset Ratios in World Modeling and Behavior Cloning Tasks
Embodied artificial intelligence (ai) involves the creation of agents that operate within physical or simulated environments, autonomously executing tasks based ...
AI2BMD: A Quantum-Precise Machine Learning Approach for Large-Scale Biomolecular Dynamics
Biomolecular dynamics simulations are crucial for biological sciences and provide insights into molecular interactions. Although classical molecular dynamics (MD) simulations ...
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