微软推出网络安全专用模型MAI-Cyber-1-Flash及AI平台Perception，主攻复杂代码漏洞发现，为MDASH修复工具提供核心能力，加码AI安全防御，与Anthropic、谷歌、OpenAI展开竞争。
Meta人工智能研究团队（FAIR）近日公开发布五项前沿研究成果，标志着AI感知领域的重大突破。这些开源项目从视觉编码器到3D空间理解，再到协作式推理框架，共同构建了通向高级机器智能(AMI)的关键路径，为未来AI如何理解和感知世界带来全新可能。"机器之眼"再升级:Meta感知编码器引领视觉理解新标准Meta感知编码器（Perception Encoder）作为大规模视觉编码器，在图像和视频处理领域显示出卓越能力，成为AI系统的"眼睛"。该编码器能够连接视觉与语言，同时在各种复杂甚至对抗性环境下保持
["GameScent 是一款能够配合游戏发出不同气味的产品","GameScent 使用AI技术释放契合游戏情境的气味","支持多种气味，包括枪火、爆炸、赛车、风暴、森林和清新空气，未来还将开发更多气味","Elevated Perceptions 公司总裁认为通过嗅觉可以提升玩家体验"]
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Meta发布的基于PyTorch框架的预训练语言模型，适用于非商业研究用途。
Meta发布的基于PyTorch的预训练语言模型，适用于非商业研究用途
Meta提供的基于PyTorch的预训练语言模型，遵循FAIR非商业研究许可协议
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