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The role of machine learning and computer vision in Imageomics

by | Mar 7, 2024 | Uncategorized

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.

The role of machine learning and computer vision in Imageomics

by | Mar 7, 2024 | Uncategorized

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.
IBM Research Unveils SimPlan: Bridging the Gap in AI Planning with Hybrid Large Language Model Technology

IBM Research Unveils SimPlan: Bridging the Gap in AI Planning with Hybrid Large Language Model Technology

by | Mar 7, 2024 | Uncategorized

Designing a sequence of actions to achieve a goal in a specific environment is a critical test of an AI’s capability and planning ability. Traditionally, this domain has been navigated with algorithms that map out potential action sequences toward an optimal solution,...
Social learning: Collaborative learning with large language models

Social learning: Collaborative learning with large language models

by | Mar 7, 2024 | Uncategorized

Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance...
Balancing Efficiency and Recall in Language Models: Introducing BASED for High-Speed, High-Fidelity Text Generation

Balancing Efficiency and Recall in Language Models: Introducing BASED for High-Speed, High-Fidelity Text Generation

by | Mar 7, 2024 | Uncategorized

Language models’ efficiency and recall capabilities are pivotal aspects that dictate their utility and effectiveness. As artificial intelligence delves deeper into the complexities of human language, the demand for models that can process vast amounts of information...
Researchers at the University of Oxford Introduce Craftax: A Machine Learning Benchmark for Open-Ended Reinforcement Learning

Researchers at the University of Oxford Introduce Craftax: A Machine Learning Benchmark for Open-Ended Reinforcement Learning

by | Mar 7, 2024 | Uncategorized

Building and using appropriate benchmarks is a major driver of advancement in RL algorithms. For value-based deep RL algorithms, there’s the Arcade Learning Environment; for continuous control, there’s Mujoco; and for multi-agent RL, there’s the StarCraft Multi-Agent...
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