Researchers have identified the most serious cases of segregation in school districts
The Frankenmuth School District has about 1,400 students, nearly 91 percent of whom are white. Its poverty rate is about ...
Tag: Researchers
Rutgers University researchers propose AIOS: an LLM agent operating system that embeds a large language model into operating systems (OS) as the brain of the operating system
artificial intelligence (ai) has introduced dynamic change in several sectors, particularly through the deployment of autonomous agents capable of operating ...
LLM2LLM: Innovative approach from researchers at UC Berkeley, ICSI and LBNL to boost the performance of large language models in low data regimes with synthetic data
Large language models (LLMs) are at the forefront of technological advances in natural language processing and mark a significant leap ...
Researchers from Imperial College and GSK AI present RAmBLA: a machine learning framework to assess the reliability of LLMs as assistants in the biomedical domain
As advanced models, large language models (LLMs) are tasked with interpreting complex medical texts, offering concise summaries, and providing accurate ...
Researchers ask Meta to keep CrowdTangle online until after 2024 election
The Mozilla Foundation and dozens of other research and advocacy groups are pushing back against Meta's decisions to shut down ...
Stanford and Google AI researchers introduce MELON: an AI technique that can determine object-centered camera poses completely from scratch while reconstructing the object in 3D
While humans can easily infer the shape of an object from 2D images, computers have difficulty reconstructing accurate 3D models ...
Researchers from IBM and MIT present LAB: a novel artificial intelligence method designed to overcome scalability challenges in the instruction tuning phase of large language model (LLM) training.
IBM researchers have introduced LAB (Large Scale Alignment for Chatbots) to address scalability challenges encountered during the instruction tuning phase ...
Researchers at MIT and Harvard developed UNITS: a unified machine learning model for time series analysis that supports a universal task specification across multiple tasks
Time series analysis is essential in finance, healthcare, and environmental monitoring. This area faces a substantial challenge: the heterogeneity of ...
Synth2: Powering Visual Language Models with Synthetic Captions and Image Embeddings by Google DeepMind Researchers
VLMs are powerful tools for capturing visual and textual data, promising advances in tasks such as image captioning and visual ...
Google DeepMind researchers present multi-step coherence models: a machine learning approach that balances speed and quality in AI sampling
Diffusion models have gained importance in image, video, and audio generation, but their sampling process is computationally expensive compared to ...
Recommended.
