New AI models for healthcare...

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NEW FEATURES FOR META’S AI RAY-BAN GLASSES 😎

Forget your iPhone, because AI wearables are emerging left and right! 😯

What’s up? Meta’s Ray-Ban smart glasses have taken another leap into the future with the introduction of new features powered by Meta AI.

What are the new features? The most upgraded version of the glasses, released in September, boasts enhanced cameras, microphones, and processors, enabling wearers to seamlessly integrate AI into their daily lives. Now in beta trials, however, users can leverage generative AI to ask questions about their surroundings and receive instant answers. Beyond everyday use, the business potential of Meta AI on Ray-Ban smart glasses is promising. Imagine interacting with advertisements, identifying tools in a work setting, or receiving real-time information in warehouses. In offices, users can discreetly obtain summaries of presentations, making meetings more efficient. These continual upgrades to Meta’s Ray-Bans highlights an eagerly emerging market of AI wearables.

How do they work? To activate the AI feature, users simply say, “Hey Meta, take a look at this” and ask a question about the object in view. The glasses take a photo, and the AI analyzes it, providing answers audibly. The entire conversation is saved in text form on the Meta View phone app for future reference.

GOOGLE UNVEILS AI MODELS FOR HEALTHCARE ❤️‍🩹

“To know even one life has breathed easier because you have lived. This is to have succeeded.” (Ralph Waldo Emerson)

What’s new? Google has unveiled a new suite of health-care AI models named MedLM.

How does it work? The suite includes large and medium-sized models, built on the Med-PaLM 2 language model trained on medical data. While the larger model excels at complex tasks requiring deep knowledge, the medium-sized one is more agile and suitable for real-time functions, such as summarizing doctor-patient interactions.

Will it be successful? Several companies, including HCA Healthcare and BenchSci, have tested MedLM for diverse applications, such as automating documentation for emergency medicine physicians and aiding drug discovery. While MedLM demonstrates accuracy and efficiency, it occasionally struggles to discern user intention effectively. This becomes challenging when patients lack familiarity with the precise terminology or correct spelling for procedures like a “colonoscopy” or resort to using colloquial expressions. Google continues to refine its models, emphasizing their role in addressing specific pain points and streamlining health-care workflows, while acknowledging the importance of responsible deployment to avoid risks to patients.

MICROSOFT TURNING TO NUCLEAR ENERGY ⚡️

U.S. nuclear power plants generated 772 billion kilowatt hours of electricity in 2022, enough to power more than 72 million homes! 💡

What’s going on? Microsoft is turning to nuclear energy to power its AI ventures, particularly the energy-intensive Copilot and partner OpenAI’s models. Partnering with Helion, a tech firm focused on nuclear fusion, Microsoft aims to generate nuclear energy by 2028.

Why? A report predicts that by 2027, Microsoft Copilot and ChatGPT alone could demand enough electricity to sustain a small country for a year, raising concerns about resource sustainability.

Why nuclear energy? Nuclear energy, derived from atoms through fusion or fission, is considered a cleaner alternative to fossil fuels, emitting primarily water vapor. Despite its potential, nuclear power has faced skepticism due to catastrophic incidents like Chernobyl and Fukushima. Despite these risks, this new partnership aligns with Microsoft’s commitment to becoming a “net zero” carbon emitter by 2040, crucial for addressing the environmental concerns surrounding AI energy consumption.

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