OpenAI launches deepfake detector for disinformation researchers
As experts warn that ai-generated images, audio and video could influence the fall election, OpenAI is launching a tool designed ...
Tag: Researchers
University of Waterloo researchers present Orchid: revolutionizing deep learning with data-dependent convolutions for scalable sequence modeling
In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer ...
Stanford Researchers Introduce SUQL: A Formal Query Language for Integrating Structured and Unstructured Data
Large language models (LLMs) have gained ground for their exceptional performance on various tasks. Recent research aims to improve its ...
UC Berkeley researchers reveal new interpretation of U-Net architecture through the lens of hierarchical generative models
artificial intelligence and machine learning are fields focused on creating algorithms that allow machines to understand data, make decisions, and ...
DeepMind researchers propose naturalized execution tuning (NExT): a self-training machine learning method that dramatically improves LLM's ability to reason about code execution
Understanding and reasoning about program execution is a critical skill for developers, often applied during tasks such as debugging and ...
Researchers at North Carolina State University combine three-dimensional embroidery techniques with machine learning to create a fabric-based sensor that can control electronic devices by touch
In a world where technology is getting smaller and smarter, researchers are constantly looking for new ways to integrate electronics ...
Nota AI researchers present LD-Pruner: a novel performance-preserving structured pruning method for compressing latent diffusion LDM models
Generative models have emerged as transformative tools in several domains, including computer vision and natural language processing, by learning data ...
MIT researchers use deep learning to get a better picture of the atmospheric layer closest to Earth's surface: improve climate and drought prediction
MIT researchers proposed working with deep learning address the challenges of accurately understanding and modeling the planetary boundary layer (PBL) ...
CMU Researchers Introduce TriForce: A Hierarchical Speculative Decoding AI System That Is Scalable to Long Sequence Generation
With the widespread implementation of large language models (LLMs) for long content generation, there is a growing need for efficient ...
Hugging Face Researchers Introduce Idefics2: A Powerful 8B Vision-Language Model Elevating Multimodal AI Through Advanced OCR and Native Resolution Techniques
As digital interactions become increasingly complex, the demand for sophisticated analytical tools to understand and process this diverse data intensifies. ...
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