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AI Health Coaches Will Probably Arrive on a Device

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AI Health Coaches Will Probably Arrive on a Device

It was strange to think about tracking your heartbeat or footprints a decade ago. Journalists covered the odd new trend at conferences, and those committed to the quest of quantified self-knowledge preached in TED Talks. A wearable device is now owned by over 40% of American households, according to statistics provided by Statista. Retirees frequently compare or brag about how many steps they took each day. The measurable self is in the ascendant.

As artificial intelligence continues to grow at an exponential rate, scientists and technologists are now searching for ways to go even farther. They want to create AI health coaches that can analyze health data and provide advice to users on maintaining optimal fitness.

The success of the measurable self

Numerous pieces of evidence point to the fact that wearables do, at minimum, provide some advantages. A 2022 review of scientific studies discovered that individuals assigned to wear activity trackers lost two pounds on average (about 1,800 extra steps per day) among over 160,000 participants in all the included studies.

According to Carol Maher, a population and digital health professor at the University of South Australia and a co-author of the review, wearables alter behavior in a variety of ways, including encouraging users to set goals, enabling them to monitor things that matter to them, and alerting them when they’re not on track to satisfy their objectives.

But according to Andrew Beam, an assistant professor studying medical artificial intelligence at the Harvard T.H. Chan School of Public Health’s Department of Epidemiology, these effects frequently wear off over time.

AI is needed to accurately detect the measures that matter to us from signal inputs, such as counting steps from an accelerometer worn on the wrist. However, this type of AI is unglamorous and uncool, according to Shwetak Patel, director of health technologies at Google and a professor of computer science and engineering at the University of Washington. “AI can stretch the capability of that sensor to do things that we may not have thought were possible.” he continues, but there is still a lot more it can already do. This includes functions like blood oxygen and fall detection that are already present in well-known wearable technology. Although usually not as accurate as devices used to diagnose diseases, some researchers are attempting to use the relatively basic health data provided by wearables to detect disease, including COVID-19.

AI has so far contributed minimally to the rise of the quantified self. In an effort to elevate artificial intelligence, researchers hope to leverage recent developments.

The upcoming health coaches powered by AI

In a recent paper that Patel co-authored, researchers fed wearable data into large language models—like OpenAI’s GPT series—and the models produced reasoning about the data that might help clinicians diagnose mental health conditions. For instance, the AI system would identify irregular sleep patterns in research participants and state that they “may be an indicator of various issues, including stress, anxiety, or other disorders.”

According to Patel, the next generation of AI models will be able to reason, which means they may be applied to individualized health coaching. It’s unclear, according to some researchers, whether large language models are capable of reasoning. Saying, “Your average heart rate is 70 beats per minute,” is one thing, but he goes on.

According to Patel, wearable data may also make it possible for AI “coaches” to comprehend users’ health at a far deeper level than a human coach could. A human coach could, for instance, ask you how you slept, but wearable technology could offer comprehensive, unbiased sleep data.

Maher has also contributed to the writing of a review of the literature on the impact of AI chatbots on lifestyle choices. The review revealed that, while the impact was not as great as that of wearables, chatbot health coaches can assist individuals in improving their diets, getting more sleep, and increasing their physical activity levels. The rather basic chatbots used in these studies were created years ago, long before OpenAI’s ChatGPT, for instance, and Maher anticipates that more advanced AI health coaches would be more successful. She does point out that there are still issues with large language models like ChatGPT that need to be resolved, such as the models’ propensity to invent facts.

Maher has also contributed to the writing of a review of the literature on the impact of AI chatbots on lifestyle choices. The review revealed that, while the impact was not as great as that of wearables, chatbot health coaches can assist individuals in improving their diets, getting more sleep, and increasing their physical activity levels. The rather basic chatbots used in these studies were created years ago, long before OpenAI’s ChatGPT, for instance, and Maher anticipates that more advanced AI health coaches would be more successful. She does point out that there are still issues with large language models like ChatGPT that need to be resolved, such as the models’ propensity to invent facts.

According to Beam, there are good reasons to be wary of chatbot health coaches. Initially, they experience the same gradual decline in efficacy as wearables. Second, when it comes to health, even human scientists with access to massive amounts of personal data still lack sufficient knowledge to provide tailored recommendations.

An artificial intelligence (AI) health coach could keep track of whether a particular action appears to be beneficial and modify its recommendations accordingly, even in the absence of sufficient evidence to provide specific recommendations to various individuals based on their health data. For instance, Sandeep Waraich, Google’s product management lead for wearable devices, says that heart rate data collected during a recommended workout could be used to guide future exercise recommendations.

Not just large tech companies are attempting to leverage wearable data to offer ongoing, individualised health coaching. App for health Based on movement and heart-rate data, Humanity claims to be able to determine a user’s “biological age” to within three years. A wrist-worn accelerometer was worn for a week by 100,000 participants in the U.K. Biobank, which provided the data used to develop Humanity’s algorithm. However, tracking the changes in biological age excites Humanity’s co-founder and chief strategy officer, Michael Geer, even more.

According to Beam, the issue with monitoring metrics such as Humanity’s “biological age” is that there is currently insufficient data connecting them to concrete health outcomes, such as a decline in all-cause mortality. According to him, there is an issue with AI’s application in healthcare in general. “In general, it’s best to proceed cautiously in this situation.

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Biden, Kishida Secure Support from Amazon and Nvidia for $50 Million Joint AI Research Program

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As the two countries seek to enhance cooperation around the rapidly advancing technology, President Joe Biden and Japanese Prime Minister Fumio Kishida have enlisted Amazon.com Inc. and Nvidia Corp. to fund a new joint artificial intelligence research program.

A senior US official briefed reporters prior to Wednesday’s official visit at the White House, stating that the $50 million project will be a collaborative effort between Tsukuba University outside of Tokyo and the University of Washington in Seattle. A separate collaborative AI research program between Carnegie Mellon University in Pittsburgh and Tokyo’s Keio University is also being planned by the two nations.

The push for greater research into artificial intelligence comes as the Biden administration is weighing a series of new regulations designed to minimize the risks of AI technology, which has developed as a key focus for tech companies. The White House announced late last month that federal agencies have until the end of the year to determine how they will assess, test, and monitor the impact of government use of AI technology.

In addition to the university-led projects, Microsoft Corp. announced on Tuesday that it would invest $2.9 billion to expand its cloud computing and artificial intelligence infrastructure in Japan. Brad Smith, the president of Microsoft, met with Kishida on Tuesday. The company released a statement announcing its intention to establish a new AI and robotics lab in Japan.

Kishida, the second-largest economy in Asia, urged American business executives to invest more in Japan’s developing technologies on Tuesday.

“Your investments will enable Japan’s economic growth — which will also be capital for more investments from Japan to the US,” Kishida said at a roundtable with business leaders in Washington.

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OnePlus and OPPO Collaborate with Google to Introduce Gemini Models for Enhanced Smartphone AI

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As anticipated, original equipment manufacturers, or OEMs, are heavily integrating AI into their products. Google is working with OnePlus, OPPO, and other companies to integrate Gemini models into their smartphones. They intend to introduce the Gemini models on smartphones later this year, becoming the first OEMs to do so. Gemini models will go on sale later in 2024, as announced at the Google Cloud Next 24 event. Gemini models are designed to provide users with an enhanced artificial intelligence (AI) experience on their gadgets.

Customers in China can now create AI content on-the-go with devices like the OnePlus 12 and OPPO Find X7 thanks to OnePlus and OPPO’s Generative AI models.

The AI Eraser tool was recently made available to all OnePlus customers worldwide. This AI-powered tool lets users remove unwanted objects from their photos. For OnePlus and OPPO, AI Eraser is only the beginning.

In the future, the businesses hope to add more AI-powered features like creating original social media content and summarizing news stories and audio.

AndesGPT LLM from OnePlus and OPPO powers AI Eraser. Even though the Samsung Galaxy S24 and Google Pixel 8 series already have this feature, it is still encouraging to see OnePlus and OPPO taking the initiative to include AI capabilities in their products.

OnePlus and OPPO devices will be able to provide customers with a more comprehensive and sophisticated AI experience with the release of the Gemini models. It is important to remember that OnePlus and OPPO already power the Trinity Engine, which makes using phones incredibly smooth, and use AI and computational mathematics to enhance mobile photography.

By 2024, more original equipment manufacturers should have AI capabilities on their products. This is probably going to help Google because OEMs will use Gemini as the foundation upon which to build their features.

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Meta Explores AI-Enabled Search Bar on Instagram

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In an attempt to expand the user base for its generative AI-powered products, Meta is moving forward. The business is experimenting with inserting Meta AI into the Instagram search bar for both chat with AI and content discovery, in addition to testing the chatbot Meta AI with users in nations like India on WhatsApp.

When you type a query into the search bar, Meta AI initiates a direct message (DM) exchange in which you can ask questions or respond to pre-programmed prompts. Aravind Srinivas, CEO of Perplexity AI, pointed out that the prompt screen’s design is similar to the startup’s search screen.

Plus, it might make it easier for you to find fresh Instagram content. As demonstrated in a user-posted video on Threads, you can search for Reels related to a particular topic by tapping on a prompt such as “Beautiful Maui sunset Reels.”

Additionally, TechCrunch spoke with a few users who had the ability to instruct Meta AI to look for recommendations for Reels.

By using generative AI to surface new content from networks like Instagram, Meta hopes to go beyond text generation.

With TechCrunch, Meta verified the results of its Instagram AI experiment. But the company didn’t say whether or not it uses generative AI technology for search.

A Meta representative told TechCrunch, “We’re testing a range of our generative AI-powered experiences publicly in a limited capacity. They are under development in varying phases.”

There are a ton of posts available discussing Instagram search quality. It is therefore not surprising that Meta would want to enhance search through the use of generative AI.

Furthermore, Instagram should be easier to find than TikTok, according to Meta. In order to display results from Reddit and TikTok, Google unveiled a new perspectives feature last year. Instagram is developing a feature called “Visibility off Instagram” that could allow posts to appear in search engine results, according to reverse engineer Alessandro Paluzzi, who made this discovery earlier this week on X.

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