A long-overlooked writing system from 5000 years ago is still largely undeciphered, but could mark the moment humans first ...

Multimodal large language models are beginning to transform science education by combining text, visuals, audio, and other data to enrich teaching and learning. From analyzing classroom interactions ...

Multimodal AI tools like Google’s NotebookLM are transforming how people research, organize, and present ideas by combining text, visuals, audio, and video in one workflow. They help users absorb ...

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

CLAM/ Data preprocessing and whole-slide tiling utilities based on CLAM [1]. Includes custom artifact removal using HSV color-based segmentation and tiling pipelines for WSI patch extraction. Example ...

Microsoft AI, the tech giant’s research lab, announced the release of three foundational AI models on Thursday that can generate text, voice, and images. The release signals Microsoft’s continued push ...

Omni, a fully omnimodal AI model with strong benchmark results, multilingual support, and new audio-visual coding capabilities.

If you've ever wondered how platforms keep up with millions of users at once, this is where things get real. Roblox has over 144 million daily users. That scale creates a massive challenge. Harmful ...

The Detroit Police Department issued a warning to the public regarding scam text messages that may appear to come from official sources. (Detroit Police Department) DETROIT – The Detroit Police ...

China’s Moonshot AI, which is backed by the likes of Alibaba and HongShan (formerly Sequoia China), today released a new open source model, Kimi K2.5, which understands text, image, and video. The ...

MCiteBench is a benchmark to evaluate multimodal generating text with citations in Multimodal Large Language Models (MLLMs). It includes data from academic papers and review-rebuttal interactions, ...

Building multimodal AI apps today is less about picking models and more about orchestration. By using a shared context layer for text, voice, and vision, developers can reduce glue code, route inputs ...