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Google announced a new open source program called Open Health Stack for developers to build health-related apps. These tools, unveiled at the company’s “The Check Up” special event this week, include a Software Developer Kit (SDK) for Android and design guidelines for health apps.

The search giant said that the stack is centered around the Fast Healthcare Interoperability Standards (FHIR) standards. This makes it easier for developers to capture the information and healthcare workers to access that. FHIR has been adopted by a lot of major electronic health record (EHR) providers.

The Open Health Stack gives developers access to Android FHIR SDK to build secure apps that can also work offline; a design guide to help developers make data capture easy; and FHIR Analytics to derive insights complex structure of the framework and FHIR Info Gateway to assign role-based access of data to various stakeholders. The last two components are available under early access, and Google is developing more features within both.

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AI or bust. Right now, AI is what everyone is talking about, and for good reason. After years of seeing AI doled out to help automate the processes that make businesses run smarter, we’re finally seeing AI that can help the average business employee working in the real world. Generative AI, or the process of using algorithms to produce data often in the form of images or text, has exploded in the last few months. What started with OpenAI’s ChatGPT has bloomed into a rapidly evolving subcategory of technology. And companies from Microsoft to Google to Salesforce and Adobe are hopping on board.

What started with ChatGPT has bloomed into an entire subcategory of technology with Meta, AWS, Salesforce, Google, Microsoft all racing to out innovate and deliver exciting generative AI capabilities to consumers, enterprise, developers, and more. Exploring the rapid progress in the AI space.

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Now its building one that even bigger and even more sophisticated.

Nearly five years ago, a little-known company approached Microsoft with a special request to put together computing horsepower to the scale it had never done before. Microsoft then spent millions of dollars in putting together tens of thousands of powerful chips to build a supercomputer. OpenAI used this to train its large language model, GPT, and the rest, as they say, is history.

Microsoft is no stranger to building artificial intelligence (AI) models that help users work more efficiently. The automatic spell checker that has helped millions of users is an example of an AI model trained on language.

Microsoft.

How Microsoft put together a supercomputer for OpenAI.

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International Space Station’s time in orbit ends on 2030.

The International Space Station’s time in orbit will end in 2030. It’ll have to be taken out of its orbit through controlled disintegration into the Earth’s atmosphere. For this, NASA is developing a spacecraft that will maneuver safe disposal of the station.

This was revealed when the Biden administration allocated a budget of $27.2 billion to NASA for the fiscal year 2024, which includes $180 million “to initiate the development of a new space tug” that could deorbit the ISS.

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The move uses a loophole in the NPT and prompts fears of nuclear proliferation.

The U.S. will lend its advanced nuclear propulsion technology to build nuclear-powered submarines for Australia as it looks to counter the rising influence of China in the Indo-Pacific region. This is the first major agreement under the AUKUS pact, a trilateral arrangement that was set up 18 months ago with the U.K., the U.S., and Australia as signatories.

Back in September 2021, when the AUKUS pact was announced, the U.S. had confirmed that it would help Australia acquire nuclear-powered submarines.

LockieCurrie/iStock.

Under the arrangement, the U.S. will supply its nuclear propulsion technology to Australia, making it the only country in the world after the U.K. to have gained such access. This will help advance Australia’s diesel engine-powered submarine fleet and allow it to carry out long-range strikes.

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It looks like Mark Zuckerberg’s company is winding down its metaverse dreams.

Amid the crypto slump, Meta has announced it would be parting with non-fungible tokens (NFTs) on its platforms less than a year after launch.

Stephane Kasriel, the Commerce and FinTech lead at Meta said in a Twitter thread that the company will be “winding down” on digital collectibles, specifically NFTs, for now, and focus on other ways to support creators. Digital collectibles like NFTs were one of the pillars of the company’s pitch for a ‘metaverse’-based future of the internet.

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How will superhuman artificial intelligence (AI) affect human decision-making? And what will be the mechanisms behind this effect? We address these questions in a domain where AI already exceeds human performance, analyzing more than 5.8 million move decisions made by professional Go players over the past 71 y (1950 to 2021). To address the first question, we use a superhuman AI program to estimate the quality of human decisions across time, generating 58 billion counterfactual game patterns and comparing the win rates of actual human decisions with those of counterfactual AI decisions. We find that humans began to make significantly better decisions following the advent of superhuman AI. We then examine human players’ strategies across time and find that novel decisions (i.e., previously unobserved moves) occurred more frequently and became associated with higher decision quality after the advent of superhuman AI. Our findings suggest that the development of superhuman AI programs may have prompted human players to break away from traditional strategies and induced them to explore novel moves, which in turn may have improved their decision-making.

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