One of the major challenges in modern scientific research is finding effective ways to model, interpret, and utilize data collected from diverse sources to drive new discoveries. As scientific ...

Recent advancements in large language models (LLMs) have generated enthusiasm about their potential to accelerate scientific innovation. Many studies have proposed research agents that can ...

A research team presents SciAgents which aims to automate the process of scientific discovery by revealing hidden interdisciplinary relationships that traditional research methods often overlook.

In a new paper A Generalist Learner for Multifaceted Medical Image Interpretation, a research team proposes MedVersa, a generalist AI model designed to enable flexible learning and tasking for medical ...

In recent years, substantial progress has been made in generating photorealistic human representations in both 2D and 3D, thanks to advancements in the precise estimation of various visual assets.

The rapid progress of large language models (LLMs) has greatly influenced natural language processing (NLP), driving advancements across numerous applications. However, LLM training is typically ...

Large Language Model (LLM) providers often build entire families of models from scratch, each varying in size. However, training multiple multi-billion-parameter models from the ground up is highly ...

Autonomous agents powered by large language models (LLMs) have garnered considerable research attention. However, the open-source community faces significant hurdles in developing specialized models ...

Multi-agent learning algorithms have excelled at producing superhuman planning abilities in various games, but their impact on real-world multi-agent planning systems remains limited. A major barrier ...

In recent years, generative models have made substantial strides in creating images and videos based on multi-modal inputs. At the forefront of this advancement, diffusion models have become the ...