微軟推出網絡安全專用模型MAI-Cyber-1-Flash及AI平臺Perception，主攻複雜代碼漏洞發現，爲MDASH修復工具提供核心能力，加碼AI安全防禦，與Anthropic、谷歌、OpenAI展開競爭。
Meta人工智能研究團隊（FAIR）近日公開發布五項前沿研究成果，標誌着AI感知領域的重大突破。這些開源項目從視覺編碼器到3D空間理解，再到協作式推理框架，共同構建了通向高級機器智能(AMI)的關鍵路徑，爲未來AI如何理解和感知世界帶來全新可能。"機器之眼"再升級:Meta感知編碼器引領視覺理解新標準Meta感知編碼器（Perception Encoder）作爲大規模視覺編碼器，在圖像和視頻處理領域顯示出卓越能力，成爲AI系統的"眼睛"。該編碼器能夠連接視覺與語言，同時在各種複雜甚至對抗性環境下保持
["GameScent 是一款能夠配合遊戲發出不同氣味的產品","GameScent 使用AI技術釋放契合遊戲情境的氣味","支持多種氣味，包括槍火、爆炸、賽車、風暴、森林和清新空氣，未來還將開發更多氣味","Elevated Perceptions 公司總裁認爲通過嗅覺可以提升玩家體驗"]
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Meta發佈的基於PyTorch框架的預訓練語言模型，適用於非商業研究用途。
Meta發佈的基於PyTorch的預訓練語言模型，適用於非商業研究用途
Meta提供的基於PyTorch的預訓練語言模型，遵循FAIR非商業研究許可協議
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