Explore the latest AI news and research tagged #research — curated from top sources including OpenAI, Anthropic, Google DeepMind, and more.
This Spring Astronomy Day, here’s a look at how AI and GPUs are helping astronomers work through unprecedented volumes of cosmic data.
OpenAI Privacy Filter is an open-weight model for detecting and redacting personally identifiable information (PII) in text with state-of-the-art accuracy
A seismic shift is rocking the healthcare industry. Uber’s business model—the “gigification” of labor—and lobbying practices have made their way to healthcare staffing. The post Uber For Nursing Part II…
Apple is presenting new research at the annual International Conference on Learning Representations (ICLR) , which takes place in person in Rio de Janeiro, Brazil, from April 23 to 27.…
OpenAI introduces GPT-Rosalind, a frontier reasoning model built to accelerate drug discovery, genomics analysis, protein reasoning, and scientific research workflows.
This policy toolkit is primarily geared toward stopping, slowing, and restricting rampant data center development in the US at the local and state level. Our approach recognizes the extractive relationship…
In recent years, LLM Multi-Agent systems have garnered widespread attention for their collaborative approach to solving complex problems. However, it's a common scenario for these systems to fail at a…
ByteDance introduces Astra, an innovative dual-model architecture revolutionizing robot navigation in complex indoor environments. The post ByteDance Introduces Astra: A Dual-Model Architecture for Autonomous Robot Navigation first appeared on Synced…
MIT introduces SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning. The post MIT Researchers Unveil “SEAL”: A New Step Towards Self-Improving AI…
"Automated failure attribution" is a crucial component in the development lifecycle of Multi-Agent systems. It has the potential to transform the challenge of identifying "what went wrong and who is…
By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training strategies like diffusion forcing and frame local attention, researchers from Adobe…
Kwai AI's SRPO framework slashes LLM RL post-training steps by 90% while matching DeepSeek-R1 performance in math and code. This two-stage RL approach with history resampling overcomes GRPO limitations. The…
Zhipu.AI open-sources faster GLM models (8x speedup), launches Z.ai, aiming for global expansion, potentially ahead of IPO. The post Zhipu.AI’s Open-Source Power Play: Blazing-Fast GLM Models & Global Expansion Ahead…
DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models…
In this article, we delve into ten groundbreaking research papers that expand the frontiers of AI across diverse domains, including large language models, multimodal processing, video generation and editing, and…