On December 20, OpenAI announced OpenAI o3, the latest model in its o-Model Reasoning Series. Building on its predecessors, o3 […]
Category: Machine Learning
Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and Post-Layer Normalization
The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages […]
Viro3D: A Comprehensive Resource of Predicted Viral Protein Structures Unveils Evolutionary Insights and Functional Annotations
Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and […]
OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems
Agentic AI systems are fundamentally reshaping how tasks are automated, and goals are achieved in various domains. These systems are […]
This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training
AI alignment ensures that AI systems consistently act according to human values and intentions. This involves addressing the complex challenges […]
Researchers at Stanford Use AI and Spatial Transcriptomics to Discover What Makes Some Cells Age Faster/Slower in the Brain
Aging is linked to a significant rise in neurodegenerative diseases like Alzheimer’s and cognitive decline. While brain aging involves complex […]
This AI Paper from aiXplain Introduces Bel Esprit: A Multi-Agent Framework for Building Accurate and Adaptive AI Model Pipelines
Artificial intelligence has progressed from handling atomic tasks to addressing intricate, real-world problems requiring the integration of multiple specialized models. […]
Absci Bio Releases IgDesign: A Deep Learning Approach Transforming Antibody Design with Inverse Folding
Designing antibodies with high specificity and binding affinity to diverse therapeutic antigens remains a significant challenge in drug development. Current […]
Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while […]
Google DeepMind Introduces FACTS Grounding: A New AI Benchmark for Evaluating Factuality in Long-Form LLM Response
Despite the transformative potential of large language models (LLMs), these models face significant challenges in generating contextually accurate responses faithful […]