Apple Unveils AI Tool That Makes Detailed Edits To Videos With Text Commands: Here's How It Works
Portfolio Pulse from Benzinga Neuro
Apple Inc. has launched a new AI image editing tool, MGIE, allowing users to edit photos with text prompts. Developed with the University of California, Santa Barbara, MGIE uses multimodal language models for edits and is available on GitHub and Hugging Face Spaces. This marks Apple's significant move into the generative AI space, aligning with CEO Tim Cook's plans to integrate more AI features into Apple devices. The launch comes amid ethical concerns over AI in image generation, highlighted by a Stanford study and comments from Microsoft CEO Satya Nadella.
February 08, 2024 | 1:05 pm
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Apple's introduction of the MGIE AI image editing tool represents a significant expansion into the generative AI field, potentially enhancing its product ecosystem and aligning with its AI integration strategy.
Apple's foray into generative AI with MGIE could attract new users and developers, boosting its ecosystem. The alignment with AI strategies suggests a positive outlook for Apple's innovative capabilities and product offerings.
CONFIDENCE 85
IMPORTANCE 80
RELEVANCE 90
POSITIVE IMPACT
Meta Platforms Inc.'s launch of the Imagine with Meta tool in December 2023 indicates its ongoing investment in generative AI, potentially impacting its competitive position in the tech industry.
Meta's investment in generative AI through Imagine with Meta positions it as a key player in this innovative field, potentially enhancing its competitive edge and user engagement.
CONFIDENCE 75
IMPORTANCE 60
RELEVANCE 70
POSITIVE IMPACT
Microsoft's involvement in text-to-image generation, alongside its stance on ethical AI use, highlights its role in shaping the future of AI technology and its commitment to responsible innovation.
Microsoft's dual focus on advancing text-to-image generation technology and advocating for ethical AI use underscores its leadership in responsible AI innovation, potentially influencing industry standards and user trust.
CONFIDENCE 80
IMPORTANCE 70
RELEVANCE 70