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Six Times Apple Nailed UI Design

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Apple’s UI Design: 6 Times They Got it Right

Apple is renowned for its sleek hardware design, but its UI design is no less impressive. The company’s software often reflects the same traits as its physical products: fun, sophisticated, and beautifully executed. Here are six times when Apple got its UI design just right.

01. Distraction Control in Safari

Apple’s new "Distraction Control" feature in iOS 18 allows users to block elements they don’t want to see in Safari, including ads. The feature also comes with a fun disintegration animation that recalls Thanos’s finger snap in the Avengers. To access it, go to the Smart Search field in Safari, tap the Page Menu button, and then tap Hide Distracting Items.

02. Tap to Cash Apple Pay Animation

Apple Cash boasts a range of nice visual design touches, including a neat card parallax animation that emulates the shininess of a real card. When users send or receive money via Tap to Cash by holding two iPhone or Apple Watches together, the confirmation animation is just as delightful.

03. Priority Notifications Bounce

The liquid bounce effect when a priority notification arrives on iOS is another touch that adds to the general smoothness and sleekness of the user experience. This subtle detail shows that software design is as important as hardware design for smartphones.

04. Dynamic Island

The amusingly named Dynamic Island made its debut with iPhone 14 Pro and has since expanded to all new iPhone models. It might have seemed like a gimmick at first, but it’s proved to be genuinely useful for multi-tasking, providing quick access to information and controls, and allowing users to see things like timers, music, and estimated delivery times while doing other things.

05. Text Animations

Apple’s text animations in iMessage add a new way to express emotion in messaging without having to search for and interpret the appropriate emoji. Users can tap the "i" button above the keyboard and choose from styles including shake, nod, explode, ripple, and jitter.

06. Apple Fitness UIs

The UI design of Apple’s fitness widgets is gorgeous, making it a pleasure to use. While some users might feel they need to wear their Apple Watch on their ankle to get reliable health stats, the UI design is undeniably attractive.

Conclusion

Apple’s UI design continues to evolve, and rumors suggest that the iPhone homescreen could get a major revamp in iOS 19. With its focus on user experience and attention to detail, Apple’s UI design often gets it just right, making its software as enjoyable to use as its hardware.

FAQs

Q: What is Apple’s Distraction Control feature?
A: Apple’s Distraction Control feature in Safari allows users to block elements they don’t want to see, including ads, and comes with a fun disintegration animation.

Q: What is Tap to Cash Apple Pay?
A: Tap to Cash is a feature that allows users to send or receive money via Apple Pay by holding two iPhone or Apple Watches together, with a confirmation animation that is just as delightful.

Q: What is Dynamic Island?
A: Dynamic Island is a feature that made its debut with iPhone 14 Pro and has since expanded to all new iPhone models, providing quick access to information and controls, and allowing users to see things like timers, music, and estimated delivery times while doing other things.

Approach the AI Unknown with Caution

The State of AI: A Balance Between Excitement and Pragmatism

There has been a lot of excitement and many headlines generated by the recent launch of DeepSeek. And, while the technology behind this latest iteration of Generative AI is undoubtedly impressive, in many ways its arrival encapsulates the state of AI today. That is to say, it’s interesting, promising and maybe a little overhyped.

A Changing Landscape

I wonder whether that may be partly a generational thing. The baby boomer generation was the first to be widely employed in IT and that cohort learned the lessons of business the hard way. Projects had to be cost-justified because technology was expensive and needed to be attached to a robust ROI case. Projects were rolled out slowly because they were complex and had to be aligned to a specific business need, endorsed by the right stakeholders. ‘Project creep’ was feared and the relationship between IT and ‘the business’ was often fraught and complex, characterized by mutual suspicion.

The New Reality

Today, the situation is somewhat different. The IT industry is enormous, the Fortune 50 is replete with major tech brands, and other sectors marvel at the profit margins of the software sector. That may all be very well for Silicon Valley and the venture capitalists of Sand Hill Road desperate to find The Next Big Thing. But back in the real world of corporate IT, matters should be seen with more caution, an appropriate level of pragmatism, and even a raised eyebrow or two.

AI: A Reality Check

AI is far from new and has its roots all the way back in the middle of the previous century. So far, despite all the excitement, it has played only a moderate role in the business world. The success of tools like Chat-GPT has catapulted it to mainstream attention, but it is still beset by familiar issues. It is costly to deploy in earnest, it requires (at least until DeepSeek) enormous compute power to develop, and it delivers responses that are often questionable. There are also serious questions to be asked about legal liability and copyright.

A Balancing Act

We need to strike a happy balance between the boosterism and experimentation inherent in AI today and a healthy sense of pragmatism. We should begin with the business case and ask how AI helps us. What is our mission? Where are our strategic opportunities and risks? OK, now how can AI help us? Today, there is too much “AI is great, let’s see what we can do with it.”

The Future of AI

Today, I see AI as a massive opportunity, but use cases need to be worked out. AI is great at massive computation tasks that human beings are bad at. It can study patterns and detect trends faster than our feeble human brains can. It doesn’t get out of bed on the wrong side in the morning, tire easily, or require two weeks holiday in the Mediterranean each year. It is surprisingly excellent at a limited number of creative tasks such as making images, music, poems, and videos. But it is bad at seeing the big picture. It lacks the human sense of caution that keeps us from danger, and it has no experience of the real world of work, which is composed of an enormous range of variables, not the least of which is human mood and perception.

Conclusion

AI today is great at the edge: in powering bots that answer predictable questions or agents that help us achieve rote tasks faster than would otherwise be the case. Robotic process automation has been a useful aid and has changed the dynamic of how the human being interacts with computers: we can now hand off dull jobs like processing credit card applications or expense claims and focus on being creative thinkers.

There are grey areas too. Conversational AI is a work in progress, but we can expect rapid improvements based on iterative continuous learning by our binary friends. Soon we may be impressed by AI’s ability to guess our next steps and to suggest smarter ways to accomplish our work. Similarly, there is scope for AI to learn more about our vertical businesses and to understand trends that humans may miss when we fail to see the forest for the trees.

Frequently Asked Questions

  • Q: What is the current state of AI?
    A: AI is an exciting and promising field, but it’s also beset by familiar issues and requires a healthy dose of pragmatism.
  • Q: Is AI suitable for all business use cases?
    A: No, AI is best suited for tasks that involve massive computation, pattern recognition, and creative tasks, but it lacks the human sense of caution and experience of the real world of work.
  • Q: How can businesses get the most out of AI?
    A: By starting with a clear business case, asking how AI can help, and being cautious in its deployment and use.

SwitchBot’s next smart hub comes with a control knob

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Hub 3’s Physical Controls and Display

According to the CSA listing, the Hub 3’s knob works for things like tweaking temperature on your smart thermostat or adjusting media volume — it says it’s compatible with "Apple TV, Spotify, and other streaming platforms for unified audio management." The other physical controls include what looks like a home button, back button, and a mysterious button with an "S" logo on it. It also has four "editable quick-scene buttons on the home page for one-touch activation of customized modes."

Smart Hub Features

The SwitchBot Hub 3’s display will turn on when it detects motion, including "hand gestures or device movements," and will show indoor temperature and humidity, third-party weather forecasts, and "real-time status updates for door locks." It will support SwitchBot’s Bluetooth-connected smart devices, which the Hub 2 bridges to Matter, making them controllable via major smart home platforms from the likes of Apple, Google, Amazon, and Samsung. The listing says the Hub 3 supports voice control through both Alexa and Google Assistant.

Unofficial Announcement

SwitchBot hasn’t officially announced the new hub, and it’s not clear when it might launch.

Frequently Asked Questions

Q: What is the Hub 3’s compatible with?
A: The Hub 3 is compatible with "Apple TV, Spotify, and other streaming platforms for unified audio management."

Q: What are the physical controls on the Hub 3?
A: The Hub 3 has a knob, home button, back button, and a mysterious button with an "S" logo, as well as four "editable quick-scene buttons on the home page for one-touch activation of customized modes."

Q: What is the display on the Hub 3 used for?
A: The display on the Hub 3 shows indoor temperature and humidity, third-party weather forecasts, and "real-time status updates for door locks," and turns on when it detects motion.

Q: Is the Hub 3 compatible with voice control?
A: Yes, the Hub 3 supports voice control through both Alexa and Google Assistant.

Rise of the New Creator

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AI-Generated Animation: A New Era in Storytelling?

The Future of Animation

We’ve seen glimpses of AI-generated films and TV series before, but we’ve yet to see one that’s watchable. AI video generation still has considerable limitations when it comes to consistency, but Aura Productions thinks that it’s starting to overcome that. The company is planning to launch an AI-generated sci-fi series for social media made using Vidu AI video generator. But will it be better than that daft AI romance? We spoke to showrunner D.T. Carpenter and Evan Liao, the head of Vidu, to learn more.

The Creative Process

The creative process combines traditional anime workflows with modern technological solutions to optimize production. While we adhere to standard animation principles, we also integrate AI to help streamline certain aspects of the process, reducing both time and cost. This approach allows us to maintain high-quality visuals while being flexible in our execution.

The Biggest Challenge

Traditional animation ensures consistency through manual frame-by-frame adjustments, whereas AI-generated content requires advanced techniques like Vidu’s Multiple-Entity Consistency to achieve the same effect. Many existing AI models are not yet capable of ensuring visual consistency with complex inputs that require the processing of multiple subjects or environments, and the attributes of multiple characters tend to blend or become inconsistent midway. However, we’ve made major strides in overcoming this, ensuring stable character designs, smooth motion, and cohesive world-building throughout the series.

The Future of Animation

AI is already reshaping animation, making production faster, more scalable, and accessible to a wider range of creators. AI will unlock new possibilities for creative storytelling by pushing visual boundaries.

Pressure to Demonstrate the Technology

This series of anime shorts is a landmark for AI-generated animation, the challenge is proving that AI can deliver compelling narratives and visually stunning content. Our goal is to create an engaging experience that resonates with audiences while demonstrating the potential of AI in animation.

Should Animators Look for Ways to Use AI in Their Work?

With AI introducing new tools that expand creative possibilities, animators should definitely consider incorporating it into their workflow rather than treating it as a threat that replaces traditional skills. We foresee the rise of a new kind of creator – someone who understands both animation principles and AI’s capabilities, using both to craft innovative content. AI is a transformative force, and those who adapt early will be at the forefront of the next era of animation.

Conclusion

Aura Productions’ AI-generated sci-fi series is a significant step forward in the use of AI in animation. With the company’s Multiple-Entity Consistency feature, the series will be able to deliver consistent and cohesive storytelling. The future of animation looks bright, with AI unlocking new possibilities for creative storytelling and visual boundaries. As the industry continues to evolve, animators and creators will need to adapt to the changing landscape and incorporate AI into their workflow to stay ahead of the curve.

FAQs

Q: What is the goal of the AI-generated series?
A: The goal is to create an engaging experience that resonates with audiences while demonstrating the potential of AI in animation.

Q: What is the biggest challenge in AI-generated animation?
A: Ensuring visual consistency with complex inputs and processing multiple subjects or environments.

Q: Will AI replace traditional animators?
A: AI will empower animators, enabling new storytelling possibilities that might not have been feasible in the past.

Q: What is the future of animation?
A: AI is reshaping animation, making production faster, more scalable, and accessible to a wider range of creators.

European Tech Industry Demands Radical Action on Digital Sovereignty

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A Broad Coalition Calls for "Radical Action" to Bolster Europe’s Tech Industry

A broad coalition of tech companies and organizations has called for "radical action" from European Union lawmakers to reduce the bloc’s reliance on foreign-owned digital infrastructure and services. The coalition, which includes companies such as Airbus, Element, OVHCloud, Murena, Nextcloud, and Proton, among others, is urging the EU to adopt a digital industrial strategy that favors local innovation and reduces dependence on foreign technology.

Buy European

The coalition is advocating for a "Buy European" mandate, which would require public bodies to source at least a portion of their digital requirements from local providers. Industry leaders believe that this would create demand for European-made technologies, drive investment, and unlock growth.

Fixing the Demand Problem

According to the coalition, the demand problem is critical, and Europe needs to tilt the playing field in favor of homegrown tech. "Fixing this demand problem is most easily done by requiring that European public sector buy European, creating the impetus for the development of Europe’s tech sector," said one industry leader.

A New Approach is Needed

The coalition is also urging the EU to adopt a new approach to digital regulation, one that prioritizes the development of European-led and assembled solutions. "We need to stop talking about the Europe of the past and start looking towards the Europe of the future," said one industry leader.

Conclusion

The coalition’s call for action is a stark warning of the perils of continued reliance on foreign-owned digital infrastructure and services. With the rise of Big Tech, the stakes are higher than ever, and it is imperative that the EU takes bold action to secure its digital future.

FAQs

Q: What is the coalition’s proposal for the EU?
A: The coalition is advocating for a "Buy European" mandate, which would require public bodies to source at least a portion of their digital requirements from local providers.

Q: What are the risks of continued reliance on foreign-owned digital infrastructure and services?
A: The risks include the potential for significant economic and security challenges, as well as the loss of digital innovation and productivity growth.

Q: What is the coalition’s plan for promoting European tech innovation?
A: The coalition is advocating for a digital industrial strategy that prioritizes the development of European-led and assembled solutions, and encourages public procurement of European-made technologies.

Q: How can the EU support the growth of the European tech industry?
A: The EU can support the growth of the European tech industry by adopting a "Buy European" mandate, promoting public procurement of European-made technologies, and prioritizing the development of European-led and assembled solutions.

Large Enterprises Exposed in Supply-Chain Attack

Open-Source Software Compromised with Credential-Stealing Code

Background

Open-source software used by more than 23,000 organizations, some of which are large enterprises, was compromised with credential-stealing code after attackers gained unauthorized access to a maintainer account. This is the latest open-source supply-chain attack to affect the Internet.

The Affected Package

The corrupted package, tj-actions/changed-files, is part of tj-actions, a collection of files used by more than 23,000 organizations. Tj-actions is one of many Github Actions, a form of platform for streamlining software available on the open-source developer platform. Actions are a core means of implementing what is known as CI/CD, short for Continuous Integration and Continuous Deployment (or Continuous Delivery).

Scraping Server Memory at Scale

On Friday or earlier, the source code for all versions of tj-actions/changed-files received unauthorized updates that changed the "tags" developers use to reference specific code versions. The tags pointed to a publicly available file that copies the internal memory of servers running it, searches for credentials, and writes them to a log. As a result, many publicly accessible repositories running tj-actions ended up displaying their most sensitive credentials in logs that anyone could view.

The Impact

"The scary part of actions is that they can often modify the source code of the repository that is using them and access any secret variables associated with a workflow," said HD Moore, founder and CEO of runZero and an expert in open-source security, in an interview. "The most paranoid use of actions is to audit all of the source code, then pin the specific commit hash instead of the tag into the … the workflow, but this is a hassle."

Conclusion

The latest open-source supply-chain attack highlights the importance of secure coding practices and the need for developers to be vigilant in securing their software. It is crucial for organizations to regularly review and update their software dependencies to ensure that they are not vulnerable to such attacks.

FAQs

  • What is tj-actions?
    Tj-actions is a collection of files used by more than 23,000 organizations for streamlining software development.
  • What is the impact of the attack?
    The attack compromised the security of many publicly accessible repositories, causing sensitive credentials to be displayed in logs that anyone could view.
  • What is the solution to prevent such attacks?
    The most paranoid use of actions is to audit all of the source code, then pin the specific commit hash instead of the tag into the … the workflow, but this is a hassle.
  • What is the importance of secure coding practices?
    Secure coding practices are crucial to prevent such attacks and ensure the security of open-source software.

AI is Revolutionizing Computer Building

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The New Computing Revolution: A.I. and the Quest for More Power

New computer chips for new A.I.

The giant leap forward in computing for A.I. was driven by a tiny ingredient: the specialized computer chips called graphics processing units, or GPUs. Companies like the Silicon Valley chipmaker Nvidia originally designed these chips to render graphics for video games. But GPUs had a knack for running the math that powers what are known as neural networks, which can learn skills by analyzing large amounts of data. Neural networks are the basis of chatbots and other leading A.I. technologies.

How A.I. Models Are Trained

By analyzing massive datasets, algorithms can learn to distinguish between images, in what’s called machine learning. The example below demonstrates the training process of an A.I. model to identify an image of a flower based on existing flower images.

Difference between CPU and GPU-powered computers

  • CPU: Can do many things, including simple math
  • GPU: Can do thousands of calculations at once, making it ideal for parallel processing and A.I. applications

A.I. gets so hot, only water can cool it down.

A.I. systems can get very hot. As air circulates from the front of a rack and crosses the chips crunching calculations, it heats up. At Cirrascale’s Austin data center, the temperature around one rack started at 71.2 degrees Fahrenheit on the front and ended up at 96.9 degrees on the back side. If a rack isn’t properly cooled down, the machines — and potentially the whole data center — are at risk of catching fire.

The Rush to Build and Cool

There is a rush to keep building, said Dr. Jonathan Feng, a physicist at the Lawrence Berkeley National Laboratory who led the report. "I don’t see this slowing down in the next few years."

Data Center Operators’ Dilemma

Data center operators are now having trouble finding electrical power in the United States. In areas like Northern Virginia — the world’s biggest hub of data centers because of its proximity to underwater cables that shuttle data to and from Europe — these companies have all but exhausted the available electricity. Some A.I. giants are turning to nuclear power. Microsoft is restarting the Three Mile Island nuclear plant in Pennsylvania.

Conclusion

The change in computing is reshaping not just technology but also finance, energy, and communities. Private equity firms are plowing money into data center companies. Electricians are flocking to areas where the facilities are being erected. And in some places, locals are pushing back against the projects, worried that they will bring more harm than good.

FAQs

Q: What is the main driver of the change in computing?
A: The main driver is the rise of artificial intelligence (A.I.) and the need for more computing power to support it.

Q: What is the role of GPUs in A.I.?
A: GPUs are specialized computer chips that are designed to handle the complex math required for A.I. applications. They can perform thousands of calculations at once, making them ideal for A.I. applications.

Q: How do data centers cool their machines?
A: Data centers use various methods to cool their machines, including air conditioning, water cooling, and evaporative cooling.

Q: Why are data center operators having trouble finding electrical power?
A: Data center operators are having trouble finding electrical power because the demand for power is increasing rapidly, and the existing infrastructure is not able to keep up.

Artificial muscle flexes in multiple directions, offering a path to soft, wiggly robots | MIT News

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We move thanks to coordination among many skeletal muscle fibers, all twitching and pulling in sync. While some muscles align in one direction, others form intricate patterns, helping parts of the body move in multiple ways.

In recent years, scientists and engineers have looked to muscles as potential actuators for “biohybrid” robots — machines powered by soft, artificially grown muscle fibers. Such bio-bots could squirm and wiggle through spaces where traditional machines cannot. For the most part, however, researchers have only been able to fabricate artificial muscle that pulls in one direction, limiting any robot’s range of motion.

Now MIT engineers have developed a method to grow artificial muscle tissue that twitches and flexes in multiple coordinated directions. As a demonstration, they grew an artificial, muscle-powered structure that pulls both concentrically and radially, much like how the iris in the human eye acts to dilate and constrict the pupil.

The researchers fabricated the artificial iris using a new “stamping” approach they developed. First, they 3D-printed a small, handheld stamp patterned with microscopic grooves, each as small as a single cell. Then they pressed the stamp into a soft hydrogel and seeded the resulting grooves with real muscle cells. The cells grew along these grooves within the hydrogel, forming fibers. When the researchers stimulated the fibers, the muscle contracted in multiple directions, following the fibers’ orientation.

“With the iris design, we believe we have demonstrated the first skeletal muscle-powered robot that generates force in more than one direction. That was uniquely enabled by this stamp approach,” says Ritu Raman, the Eugene Bell Career Development Professor of Tissue Engineering in MIT’s Department of Mechanical Engineering.

The team says the stamp can be printed using tabletop 3D printers and fitted with different patterns of microscopic grooves. The stamp can be used to grow complex patterns of muscle — and potentially other types of biological tissues, such as neurons and heart cells — that look and act like their natural counterparts.

“We want to make tissues that replicate the architectural complexity of real tissues,” Raman says. “To do that, you really need this kind of precision in your fabrication.”

She and her colleagues published their open-access results Friday in the journal Biomaterials Science. Her MIT co-authors include first author Tamara Rossy, Laura Schwendeman, Sonika Kohli, Maheera Bawa, and Pavankumar Umashankar, along with Roi Habba, Oren Tchaicheeyan, and Ayelet Lesman of Tel Aviv University in Israel.

Training space

Raman’s lab at MIT aims to engineer biological materials that mimic the sensing, activity, and responsiveness of real tissues in the body. Broadly, her group seeks to apply these bioengineered materials in areas from medicine to machines. For instance, she is looking to fabricate artificial tissue that can restore function to people with neuromuscular injury. She is also exploring artificial muscles for use in soft robotics, such as muscle-powered swimmers that move through the water with fish-like flexibility.

Raman has previously developed what could be seen as gym platforms and workout routines for lab-grown muscle cells. She and her colleagues designed a hydrogel “mat” that encourages muscle cells to grow and fuse into fibers without peeling away. She also derived a way to “exercise” the cells by genetically engineering them to twitch in response to pulses of light. And, her group has come up with ways to direct muscle cells to grow in long, parallel lines, similar to natural, striated muscles. However, it’s been a challenge, for her group and others, to design artificial muscle tissue that moves in multiple, predictable directions.

“One of the cool things about natural muscle tissues is, they don’t just point in one direction. Take for instance, the circular musculature in our iris and around our trachea. And even within our arms and legs, muscle cells don’t point straight, but at an angle,” Raman notes. “Natural muscle has multiple orientations in the tissue, but we haven’t been able to replicate that in our engineered muscles.”

Muscle blueprint

In thinking of ways to grow multidirectional muscle tissue, the team hit on a surprisingly simple idea: stamps. Inspired in part by the classic Jell-O mold, the team looked to design a stamp, with microscopic patterns that could be imprinted into a hydrogel, similar to the muscle-training mats that the group has previously developed. The patterns of the imprinted mat could then serve as a roadmap along which muscle cells might follow and grow.

“The idea is simple. But how do you make a stamp with features as small as a single cell? And how do you stamp something that’s super soft? This gel is much softer than Jell-O, and it’s something that’s really hard to cast, because it could tear really easily,” Raman says.

The team tried variations on the stamp design and eventually landed on an approach that worked surprisingly well. The researchers fabricated a small, handheld stamp using high-precision printing facilities in MIT.nano, which enabled them to print intricate patterns of grooves, each about as wide as a single muscle cell, onto the bottom of the stamp. Before pressing the stamp into a hydrogel mat, they coated the bottom with a protein that helped the stamp imprint evenly into the gel and peel away without sticking or tearing.

As a demonstration, the researchers printed a stamp with a pattern similar to the microscopic musculature in the human iris. The iris comprises a ring of muscle surrounding the pupil. This ring of muscle is made up of an inner circle of muscle fibers arranged concentrically, following a circular pattern, and an outer circle of fibers that stretch out radially, like the rays of the sun.  Together, this complex architecture acts to constrict or dilate the pupil.

Once Raman and her colleagues pressed the iris pattern into a hydrogel mat, they coated the mat with cells that they genetically engineered to respond to light. Within a day, the cells fell into the microscopic grooves and began to fuse into fibers, following the iris-like patterns and eventually growing into a whole muscle, with an architecture and size similar to a real iris.

When the team stimulated the artificial iris with pulses of light, the muscle contracted in multiple directions, similar to the iris in the human eye. Raman notes that the team’s artificial iris is fabricated with skeletal muscle cells, which are involved in voluntary motion, whereas the muscle tissue in the real human iris is made up of smooth muscle cells, which are a type of involuntary muscle tissue. They chose to pattern skeletal muscle cells in an iris-like pattern to demonstrate the ability to fabricate complex, multidirectional muscle tissue.

“In this work, we wanted to show we can use this stamp approach to make a ‘robot’ that can do things that previous muscle-powered robots can’t do,” Raman says. “We chose to work with skeletal muscle cells. But there’s nothing stopping you from doing this with any other cell type.”

She notes that while the team used precision-printing techniques, the stamp design can also be made using conventional tabletop 3D printers. Going forward, she and her colleagues plan to apply the stamping method to other cell types, as well as explore different muscle architectures and ways to activate artificial, multidirectional muscle to do useful work.

“Instead of using rigid actuators that are typical in underwater robots, if we can use soft biological robots, we can navigate and be much more energy-efficient, while also being completely biodegradable and sustainable,” Raman says. “That’s what we hope to build toward.”

This work was supported, in part, by the U.S. Office of Naval Research, the U.S. Army Research Office, the U.S. National Science Foundation, and the U.S. National Institutes of Health.

China is keeping DeepSeek under close watch

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China’s Restrictions on AI Startup DeepSeek

DeepSeek’s Rise to Fame

China appears to think homegrown AI startup DeepSeek could become a notable tech success story for the country. After DeepSeek’s sudden rise to fame in January with the release of its open "reasoning" model, R1, the company is now operating under new, tighter government-influenced restrictions.

Government Restrictions Take Effect

According to The Information, some of DeepSeek’s employees have been prevented from traveling abroad freely, and the Chinese government is now playing a role in screening potential investors. DeepSeek is enforcing the travel restrictions by having its parent company, quantitative hedge fund High-Flyer, hold onto certain staff’s passports.

Government Intervention in AI Research

The developments come a few weeks after it was reported that the Chinese government was instructing AI researchers and entrepreneurs to avoid traveling to the U.S., fearing the loss of trade secrets. This move is part of a broader effort to protect China’s intellectual property and maintain control over its technology sector.

Response from DeepSeek

TechCrunch has reached out to DeepSeek for comment.

Conclusion

The restrictions on DeepSeek are a significant change from the company’s previous status as a relatively free and open AI research organization. While the Chinese government’s actions may be seen as a way to protect its interests, they also raise concerns about the potential stifling of innovation and collaboration in the tech industry.

FAQs

Q: What is the reason behind the government’s restrictions on DeepSeek?
A: The Chinese government is seeking to protect its intellectual property and maintain control over its technology sector.

Q: How are the travel restrictions being enforced?
A: DeepSeek’s parent company, High-Flyer, is holding onto certain staff’s passports.

Q: What is the impact of these restrictions on DeepSeek’s research and development?
A: The restrictions may stifle innovation and collaboration in the tech industry, potentially limiting the growth and success of AI startups like DeepSeek.

3D Zig-Zag Matrix

A New Creation: My Latest Pen

About This Pen

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Conclusion

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FAQs

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A: This pen’s unique blend of functionality and style sets it apart from other pens on the market.

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