Researchers Try to Use AI Chatbots to Conduct Interviews for Social Science Studies
As legislative elections approached in France this summer, a research team decided to reach out to hundreds of citizens to ...
Tag: Researchers
John Hopkins researchers present Genex: the AI model that imagines its way through 3D worlds
Planning and decision making in complex and partially observed environments is a major challenge in embodied ai. Traditionally, embedded agents ...
UC Riverside researchers propose Pkd tree (parallel kd tree): a parallel kd tree that is efficient in both theory and practice
The exponential growth of multidimensional data in various fields, such as machine learning, geospatial analysis, and clustering, has posed significant ...
CMU researchers propose OpenFLAME: a federated and decentralized location service
Maps are widely used today and are useful in numerous location-based applications, including navigation, ride-sharing, fitness tracking, gaming, robotics, and ...
Snowflake and CMU researchers present SuffixDecoding: a new model-free approach to accelerate large language model (LLM) inference using speculative decoding
Large Language Models (LLM) have quickly become a critical component of today's consumer and enterprise applications. However, the need for ...
Google DeepMind researchers propose RT-Affordance: a hierarchical method that uses benefits as an intermediate representation of policies
In recent years, there has been significant development in the field of large pre-trained models for robot policy learning. The ...
MBZUAI researchers launch Atlas-Chat (2B, 9B and 27B): a family of open models adapted to instructions for Darija (Moroccan Arabic)
Natural language processing (NLP) has made incredible strides in recent years, particularly through the use of large language models (LLM). ...
Ethereum researchers exit EigenLayer advisory role after controversy: details
Two ethereum Foundation researchers, Justin Drake and Dankrad Feist, have revealed the decision to leave their advisory positions at EigenLayer. ...
KAUST researchers use Anderson exploit to maximize GPU efficiency with increased model accuracy and generalization
The scaling of ai means greater spending on infrastructure. Massive, multidisciplinary research puts economic pressure on institutions, as high-performance computing ...
Stanford researchers present ZIP-FIT: a novel data curation AI framework that chooses compression over embeddings to tune models on domain-specific tasks
Selecting data for domain-specific art is a complex art, especially if we want to get the desired results from language ...
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