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Remote Patient Monitoring with AI and OpenAI, IBM, Amazon and Meta news

US Senate panel discusses AI and Regulation

Hey Readers, Happy Sunday! 👋

In today's edition, I'll cover the following:

  1. AI Use Case of the Week: Remote Patient Monitoring

  2. News of the Week:

  • OpenAI Debuts Free, Ad-Free ChatGPT App for iOS

  • OpenAI CEO Advocates for AI Licensing in Senate Testimony as IBM Urges Regulation Focus on High-Risk Areas

  • Amazon's Next Frontier: AI-Powered Conversational Shopping Experience

  • Meta Unveils New AI Chip and Data Center Design

Let's dive in! 🤿

📚 My AI posts this Week: Remote Patient Monitoring

As the global population continues to age, the demand for effective healthcare solutions is growing rapidly. Remote Patient Monitoring (RPM) has emerged as a critical technology that enables healthcare providers to monitor patients outside of traditional healthcare settings. Artificial Intelligence (AI) has the potential to significantly enhance RPM, leading to improved patient outcomes, reduced costs, and increased access to quality healthcare services. In this blog post, we explore the benefits and challenges of implementing AI in RPM and discuss some of the most promising use cases.

🗞️Top News of the Week

OpenAI has launched a free, ad-free iOS app for its AI chatbot, ChatGPT, initially available in the U.S. The app allows users to interact with the AI for information and advice, syncs user history across devices, and supports voice input. ChatGPT Plus subscribers, paying $20 per month, get additional benefits including GPT-4's capabilities and faster response times. The app's rollout will expand to other countries soon, with an Android version also on the way. The launch comes amid increased integration of AI in mobile services by tech giants and growing consumer spending on mobile AI apps.

ChatGPT iOS App.

OpenAI's CEO, Sam Altman, testified before a US Senate panel, highlighting concerns about AI's potential misuse, especially regarding election integrity. Altman suggested implementing licensing and testing for AI models, particularly those that can influence personal beliefs. He also proposed companies should have the right to refuse the use of their data for AI training, but publicly available data should be usable. Altman expressed a preference for a subscription-based business model over advertising for AI services. The discussion of a potential US licensing agency for AI, possibly named the Office for AI Safety and Infrastructure Security (OASIS), was also mentioned.

Christina Montgomery, the chief privacy and trust officer at International Business Machines Corp (IBM), urged Congress to focus regulatory efforts on areas of AI that have the potential to cause the greatest societal harm. This participation indicates IBM's interest in shaping the direction of AI regulation and ensuring that potential negative impacts are minimized.

Watch the full event here:

Amazon plans to introduce a chatbot feature to its search function, as revealed by recent job listings. The company describes the change as a transformative shift for search, likening it to the impact of the Mosaic browser on internet accessibility three decades ago. Amazon's new interactive conversational experience will allow users to ask product questions, perform product comparisons, receive personalized product suggestions, and much more. Amazon's move into AI-powered search is understandable as chatbots can provide a helpful starting point for customers looking for specific products. However, it's currently unclear when this new feature might be released or what it will look like. Amazon has confirmed that it is significantly investing in generative AI across all of its businesses. It is likely that conversational shopping will be introduced to Amazon in the near future, potentially making the search experience on Amazon more complex.

Meta is building its own custom chip for AI, called the MTIA, which stands for Meta Training and Inference Accelerator. It will be released in 2025 and is designed to provide greater computing power and efficiency than CPUs. Meta is also introducing a new ASIC called the MSVP, or Meta Scalable Video Processor, which will help with video transcoding. This will allow Meta to bring things like AI-made content and AR- and VR-specific content to its apps. Meta is also working on a next-generation data center design that will be AI-optimized and faster to build.

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See you next Sunday!

Armand 😎

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