Technologies

Sighing Deeply Is Actually Good for You. Here’s Why

A study dives into how deep breaths help our lungs.

Do you feel better after breathing a deep sigh? It’s relaxing. And it turns out there’s a good reason why we feel relief after big breaths, It comes down to a special fluid inside our lungs. The liquid — pulmonary surfactant — helps our lungs work. Without it, we’d be in serious trouble. But researchers at Swiss university ETH Zurich found that deep breaths have an interesting effect on how this fluid interacts with the lungs.

The new research, published in the journal Science Advances, could have meaningful implications for future medicine and therapies.

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‘Magic’ lung fluid to the rescue

For a long time, scientists have been interested in how this fluid helps us breathe. In the 1980s, research into this area resulted in a life-saving treatment for babies born prematurely with underdeveloped lungs.

By extracting fluid from animal lungs and injecting it into those of premature infants, doctors were able to reduce respiratory distress syndrome from developing right after birth. The fluid reduces surface stress in the lungs.

«This surface stress influences how compliant the lungs are,» said ETH Zurich professor Jan Vermant. «The more compliant the lungs are, the less resistance there is to expansion and contraction — and the easier it is to breathe.»

Breathing deep to ease tension

The research team wanted to see how lung fluid behaved when it was stretched and recompressed, so they simulated the movements of normal and deep breaths in the lab.

They measured the fluid’s surface stress in each case and compared the data. The researchers found that surface stress decreases significantly after a deep breath.

The utmost layer of the thin film that the fluid leaves on a lung settles and hardens over time.

«Directly at the boundary with the air, there is a slightly stiffer surface layer,» said Maria Novaes-Silva, a doctoral student in Vermant’s research group and the study’s first author. She said that the pronounced stretching and compression of the pulmonary fluid that comes with a deep sigh actually rearranges the surface layer’s composition.

So, after you let out a deep breath, it becomes easier for you to breathe. That’s why we feel a sense of relief from a deep sigh.

An ETH Zurich spokesperson said that clinical practice has also found that breathing becomes increasingly complex with constant shallow breaths. So, the lab measurements seem to follow real-world observations.

The researchers theorize that this study may contribute to a better understanding of adult lung failure.

Technologies

You Can Watch an Exclusive Avatar: Fire and Ash Scene on TikTok Right Now

Disney and TikTok partner on an immersive content hub for James Cameron’s latest movie about the alien Na’vi.

If you’re not quite ready to head to the theater to watch Avatar: Fire and Ash, an exclusive scene preview might sell you on the visual spectacle. As part of a new collaboration with the social media giant, Disney is posting snippets of its new movie to its TikTok account.

This scene isn’t part of any trailer and won’t be posted to other social media accounts, making TikTok the only place you can view it — unless you buy a movie ticket. A first look at the new movie’s scenes isn’t the only Avatar-related bonus on the social media platform right now, either. TikTok has partnered with the house of mouse to bring an entire «immersive content hub» to the app.

A special section of TikTok includes quizzes and educational videos that explore the alien world of Pandora shown off in the movies. On TikTok, you can take a personality quiz to find out what Na’vi clan you most closely align with and unlock a special profile picture border to use on your account.

Science and fiction blend together with a series of videos from real doctors who explain the basis for some of Avatar’s world-building. If you want to learn about exoplanets or how realistic the anatomy of the movie’s alien animals is, these videos will feed your brain while still providing entertainment value.

Perhaps the most enticing part of Disney’s latest social media collaboration is the opportunity for fans to win prizes and trips. TikTok creators who make edits with the #TikTokAvatarContest hashtag are entered into a competition to win Avatar merchandise. The biggest winners will be able to take a trip to visual effects studio Wētā Workshop in New Zealand or visit Avatar director James Cameron’s Lightstorm Entertainment Studio in Los Angeles.

Avatar: Fire and Ash is the third installment in director Cameron’s cinematic passion project. While the first Avatar movie was released in 2009, Cameron didn’t release another entry in the franchise until 2022. In total, there is a five-movie arc planned for the indigo alien Na’vi on the moon of Pandora.

The Avatar movies are known for pushing the boundaries of CGI visual effects in cinema. They are also historically big winners at the box office: the original Avatar is the highest-grossing film of all time, earning $2.9 billion across its theatrical releases. Its sequel, Avatar: The Way of Water, is the third-highest-grossing film of all time, trailing Avengers: Endgame. You can stream those movies on Disney Plus.

It remains to be seen whether Avatar: Fire and Ash will financially live up to its predecessors. The film currently has mixed reviews from critics on Rotten Tomatoes.

Technologies

Brain-Inspired Algorithms Could Dramatically Cut AI Energy Use

A new study dives into a major redesign for AI architecture.

One major issue facing artificial intelligence is the interaction between a computer’s memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two components. However, AI models rely on a vast amount of data, which creates a bottleneck.

A new study, published on Monday in the journal Frontiers in Science by Purdue University and the Georgia Institute of Technology, suggests a novel approach to building computer architecture for AI models using brain-inspired algorithms. The researchers say that creating algorithms in this manner could reduce the energy costs associated with AI models.

«Language processing models have grown 5,000-fold in size over the last four years,» Kaushik Roy, a Purdue University computer engineering professor and the study’s lead author, said in a statement. «This alarmingly rapid expansion makes it crucial that AI is as efficient as possible. That means fundamentally rethinking how computers are designed.»

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Most computers today are modeled on an idea from 1945 called the von Neumann architecture, which separates processing and memory. This is where the slowdown occurs. As more people around the world utilize data-hungry AI models, the distinction between a computer’s processing and memory capacity could become a more significant issue.

Researchers at IBM called out this problem in a post earlier this year. The issue computer engineers are running up against is called the ‘memory wall.’

Breaking the memory wall

The memory wall refers to the disparity between memory and processing capabilities. Essentially, computer memory is struggling to keep up with processing speeds. This isn’t a new issue. A pair of researchers from the University of Virginia coined the term back in the 1990s.

But now that AI is prevalent, the memory wall issue is sucking up time and energy in the underlying computers that make AI models work. The paper’s researchers argue that we could try a new computer architecture that integrates memory and processing.

Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A common criticism of these algorithms in the past is that they can be slow and inaccurate. However, some computer scientists argue that these algorithms have shown significant improvement over the last few years.

The researchers suggest that AI models should utilize a concept related to SNNs, known as compute-in-memory. This concept is still relatively new in the field of AI.

«CIM offers a promising solution to the memory wall problem by integrating computing capabilities directly into the memory system,» the authors write in the paper’s abstract.

Medical devices, transportation, and drones are a few areas where researchers believe improvements could be made if computer processing and memory were integrated into a single system.

«AI is one of the most transformative technologies of the 21st century. However, to move it out of data centers and into the real world, we need to dramatically reduce its energy use,» Tanvi Sharma, co-author and researcher at Purdue University, said in a statement.

«With less data transfer and more efficient processing, AI can fit into small, affordable devices with batteries that last longer,» Sharma said.

Technologies

Today’s NYT Connections: Sports Edition Hints and Answers for Dec. 17, #450

Here are hints and the answers for the NYT Connections: Sports Edition puzzle for Dec. 17, No. 450.

Looking for the most recent regular Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle and Strands puzzles.

Today’s Connections: Sports Edition is pretty challenging. How well do you know French soccer? If you’re struggling with today’s puzzle but still want to solve it, read on for hints and the answers.

Connections: Sports Edition is published by The Athletic, the subscription-based sports journalism site owned by The Times. It doesn’t appear in the NYT Games app, but it does in The Athletic’s own app. Or you can play it for free online.

Read more: NYT Connections: Sports Edition Puzzle Comes Out of Beta

Hints for today’s Connections: Sports Edition groups

Here are four hints for the groupings in today’s Connections: Sports Edition puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Put it on your noggin.

Green group hint: Goes before a division of the year.

Blue group hint: French football.

Purple group hint: Think Louisville Slugger.