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Researchers from ETH Zurich and UC Berkeley Introduce MaxInfoRL: A New Reinforcement Learning Framework for Balancing Intrinsic and Extrinsic Exploration
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Researchers from ETH Zurich and UC Berkeley Introduce MaxInfoRL: A New Reinforcement Learning Framework for Balancing Intrinsic and Extrinsic Exploration

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Reinforcement Learning, despite its popularity in a variety of fields, faces some fundamental difficulties that refrain users from exploiting its […]

Viro3D: A Comprehensive Resource of Predicted Viral Protein Structures Unveils Evolutionary Insights and Functional Annotations
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Viro3D: A Comprehensive Resource of Predicted Viral Protein Structures Unveils Evolutionary Insights and Functional Annotations

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Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and […]

Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators
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Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators

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Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools […]

OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems
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OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems

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Agentic AI systems are fundamentally reshaping how tasks are automated, and goals are achieved in various domains. These systems are […]

This AI Paper from Microsoft and Oxford Introduce Olympus: A Universal Task Router for Computer Vision Tasks
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This AI Paper from Microsoft and Oxford Introduce Olympus: A Universal Task Router for Computer Vision Tasks

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Computer vision models have made significant strides in solving individual tasks such as object detection, segmentation, and classification. Complex real-world […]

This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training
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This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training

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AI alignment ensures that AI systems consistently act according to human values and intentions. This involves addressing the complex challenges […]

TOMG-Bench: Text-based Open Molecule Generation Benchmark
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TOMG-Bench: Text-based Open Molecule Generation Benchmark

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Molecule discovery is important in various scientific research fields, particularly pharmaceuticals and materials science. While the emergence of Graph Neural […]

Researchers at Stanford Use AI and Spatial Transcriptomics to Discover What Makes Some Cells Age Faster/Slower in the Brain
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Researchers at Stanford Use AI and Spatial Transcriptomics to Discover What Makes Some Cells Age Faster/Slower in the Brain

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Aging is linked to a significant rise in neurodegenerative diseases like Alzheimer’s and cognitive decline. While brain aging involves complex […]

Meet FineFineWeb: An Open-Sourced Automatic Classification System for Fine-Grained Web Data
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Meet FineFineWeb: An Open-Sourced Automatic Classification System for Fine-Grained Web Data

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Multimodal Art Projection (M-A-P) researchers have introduced FineFineWeb, a large open-source automatic classification system for fine-grained web data. The project […]

This AI Paper from aiXplain Introduces Bel Esprit: A Multi-Agent Framework for Building Accurate and Adaptive AI Model Pipelines
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This AI Paper from aiXplain Introduces Bel Esprit: A Multi-Agent Framework for Building Accurate and Adaptive AI Model Pipelines

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Artificial intelligence has progressed from handling atomic tasks to addressing intricate, real-world problems requiring the integration of multiple specialized models. […]

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