ByteDance’s technology arm, Volcano Engine, introduced two state-of-the-art video generation models, PixelDance and Seaweed, ...

Generative models aim to replicate realistic outcomes across various contexts, from text generation to visual effects. While much progress has been made in creating real-world simulators, the ...

An IBM research team introduces the Granite Code model family. Specifically optimized for enterprise software development workflows, these models excel across a spectrum of coding tasks, rendering ...

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 ...

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 ...

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.

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 ...

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.

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 ...