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2024年1月2日 · For creative professionals, AI poses a unique set of challenges and opportunities — particularly generative AI, the use of algorithms to transform vast amounts of data into new content. The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on Oct. 26 at the MIT Bartos Theater.

2023年10月26日 · Generative AI—those forms of artificial intelligence capable of creating artistic content, from text and images to audio and video—are transforming the way artists and …

2019年7月8日 · To solve both issues, we propose CAMIT, a novel method for translating in an interactive environment. Our proposed method works with critical revision instructions, therefore allows human to correct arbitrary words in model-translated sentences.

Generative AI in the C-Suite with MIT App Inventor Over the past year and a half, the MIT App Inventor team has collaborated on multiple workshops with MIT Sloan Senior Lecturer Paul McDonagh-Smith attended by C-suite executives, vice presidents, and MBAs.

2019年7月8日 · To solve both issues, we propose CAMIT, a novel method for translating in an interactive environment. Our proposed method works with critical revision instructions, therefore allows human to correct arbitrary words in model-translated sentences.

提出了一种交互式机器翻译方法CAMIT，通过接受修正指令，允许人类纠正模型翻译句子中的任意单词，并基于上下文学习和记忆修正操作，从而有效地改进了机器翻译结果。

2023年11月16日 · For creative professionals, AI poses a unique set of challenges and opportunities—particularly generative AI, the use of algorithms to transform vast amounts of data into new content. The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on October 26, 2023 at the MIT Bartos Theater.

In this paper, we propose CAMIT, to improve the interactive efficiency of NMT models in both decoding and learning as-pects. For decoding, we propose an sequential bi-directional decoder, updating the whole sentence after each revision.

2023年11月16日 · Explore the impact of Generative AI on art and design and insights from students and experts on AI's creative potential.