By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

Research shows AI models exhibit loss chasing, illusion of control, and risky behavior when given freedom in gambling ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

Researchers at the Gwangju Institute of Science and Technology in South Korea explored whether large language models (LLMs) showed gambling-like behavior in computer simulations ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...

Krishnam Raju Narsepalle is a senior data engineering and AI professional delivering enterprise-scale solutions across ...

Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...

Abstract: In recent years, the deployment of multiple Unmanned Aerial Vehicles (UAVs) for source localization has significantly increased in military, civil, and commercial domains. The transmission ...

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...