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Apple Vision Pro: Use Cases and Special Application in the Biomedical Sector

Marktechpost

Apple Vision Pro emerges as a platform poised to reshape the biomedical landscape. It leverages the formidable capabilities of Apple devices to catalyze innovation in healthcare. Image Source At its essence, Apple Vision Pro serves as a versatile toolset tailored for biomedical imaging and analysis.

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My Experience with the Apple Vision Pro and Future Perspectives in Computer Vision and Healthcare

Towards AI

Just me and the Apple Vision Pro “It was a rainy day in Palo Alto. The line in front of the Apple Store was interminable, and only a few strong-willed people could be persistent enough to wait for hours and have a shot at earning one of the first commercially available Apple Vision Pro.

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Google Gemini 1.5 Review: Million-Token AI Changes Everything

PyImageSearch

Review: Million-Token AI Changes Everything What Is a Large Language Model (LLM)? Pro Gemini Advanced vs. Gemini 1.5 Pro Gemini Advanced vs. 1.0 Pro How to Get Gemini 1.5 Review: Million-Token AI Changes Everything Well, the Artificial intelligence (AI) race continues with Google Announcing Gemini 1.5,

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Wondershare Filmora Review: The Easiest AI Video Editor?

Unite.AI

As someone with video editing experience with Adobe Premiere Pro, I had to try Wondershare and see how it compares! In this Wondershare Filmora review, I'll explain what Wondeshare Filmora is and who it's best for, and list its features so you know what it's capable of. Read our Videoleap Review or visit Videoleap.

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‘We Created a Processor for the Generative AI Era,’ NVIDIA CEO Says

NVIDIA

Huang punctuated these major announcements with powerful demos, partnerships with some of the world’s largest enterprises and more than a score of announcements detailing his vision. A New Way to Create Software Generative AI changes the way applications are written, Huang said. How do we build software in the future?

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6 AI predictions for 2024 from 6 deepsense.ai experts

deepsense.ai

The field of LLMs is witnessing significant advancements, while companies like Apple, Qualcomm, and Google, by providing platforms like MLX, Snapdragon, and Gemini Nano, respectively, are supporting their adoption closer to users. Meanwhile, the AI community, through initiatives like llama2.c,

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