Google and Fitbit to launch Personal Health LLM

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GOOGLE AND FITBIT TO LAUNCH PERSONAL HEALTH LLM 💪

Q: Why did the hamburgers go to the gym?

A: To get better buns. 🍔

What’s new? Google Research and Fitbit are teaming up to revolutionize personal fitness with an innovative Personal Health Large Language Model.

How will it work? This AI-based personal trainer, set to power the Fitbit mobile app, promises tailored health and wellness insights gleaned from data collected by Fitbit and Pixel devices. In a recent blog post, Google detailed the capabilities of this new model, citing examples like analyzing sleep patterns to recommending personalized workouts. Leveraging Google’s Gemini model and fine-tuning from diverse health signals, the LLM will also be able to answer tailored health queries from users based on their personalized data. Specifics on the release date of this model remain undisclosed, but Fitbit hinted at releasing a beta version shortly.

GOOGLE IS USING AI TO FORECAST FLOODS 🌊

The economic toll of flooding amounts to approximately $50 billion annually, not to mention the cost of devastation to communities around the world. 😕

What’s up? Leveraging AI technologies, Google Research has achieved remarkable progress in providing timely and precise flood forecasts up to seven days in advance, extending coverage to 80 countries and benefiting over 460 million people.

How does it work? Outlined in a Nature article, the system gathers vast amounts of data from multiple sources, including satellite imagery, weather forecasts, historical flood data, terrain elevation maps, and river gauge measurements where available. AI algorithms are then used to assess patterns and relationships within the data. Once trained, the AI models can generate flood forecasts by processing real-time data inputs. By analyzing current environmental conditions and comparing them to historical patterns, the system can predict the likelihood and severity of future flood events with increasing accuracy.

What’s the significance? Historically, forecasting floods accurately on a large scale has been hindered by the complexity of the issue and the scarcity of resources to assess all the relevant data, particularly in underserved regions. The use of AI’s power in data analysis is proving to be a valuable solution. Real-time flood forecasts are currently available on Google’s Flood Hub platform, and Google also plans to integrate these forecasts into platforms like Search, Maps, and Android notifications, so vital information can reach those most in need.

SPEAKING WITHOUT VOCAL CORDS 😳

AI is literally giving people the power to speak. 🗣️

What’s new? UCLA engineers have introduced a groundbreaking AI device that could revolutionize communication for those with vocal cord impairments. This non-invasive solution offers hope to individuals with voice disorders, potentially reducing the need for invasive procedures and lengthy recovery times.

What is the device? This device takes the form of a soft, stretchable patch which adheres comfortably to the throat, detecting larynx muscle movements and translating them into audible speech. Measuring just over an inch square and weighing only seven grams, it’s remarkably thin and light. The device’s design incorporates self-powered sensors and an actuation component, both consisting of layers of biocompatible materials and magnetic induction coils. Developed by lead researcher Jun Chen and his team, this technology utilizes machine learning with an impressive 95% accuracy rate. Through machine learning, the device can recognize a growing vocabulary, amplifying the user’s voice signals. Future plans involve expanding its capabilities and testing with more individuals facing speech challenges.

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