It is becoming increasingly difficult to escape conversations about artificial intelligence (AI), particularly debates over how useful and effective the technology really is.

Science and healthcare are among the fields where AI could have a major impact. The technology already helps researchers analyze medical scans, develop drugs, and predict future health outcomes.

AI Takes on a Bigger Role in Eye Care

Now, researchers led by the Beijing Visual Science and Translational Eye Research Institute (BERI) in China have taken the use of AI a step further by allowing it to help run an eye clinic under human supervision.

Researchers designed the AI-TEC (AI-Agent Augmented Tsinghua Eye Clinic) specifically around AI instead of simply adding AI tools to traditional medical systems. Human doctors remained involved, but the facility uses AI extensively throughout the patient-care process.

According to a study published in Nature Medicine, AI supported almost every stage of care, from the initial pre-consultation and examination to patient follow-up. This included analyzing the eye scans that play a crucial role in diagnosis and treatment.

The researchers say their work offers early insights into how AI can move beyond simply improving algorithms and instead transform clinical workflows and integrate across entire healthcare systems, where its real-world value can ultimately be achieved.

AI Initially Struggles to Detect Eye Diseases Accurately

The AI-TEC trial produced several notable findings. At first, the AI had a relatively low accuracy rate when detecting eye diseases such as glaucoma and age-related macular degeneration from scans.

Its performance improved considerably after expert ophthalmologists provided 1,426 high-quality eye scans that had been accurately labeled according to the conditions they showed.

Interestingly, this new dataset proved more effective than the AI’s original training set, which contained nearly 27,000 lower-quality images with less detailed labeling.

The AI-TEC trial produced several notable findings. At first, the AI had a relatively low accuracy rate when detecting eye diseases such as glaucoma and age-related macular degeneration from scans.

Its performance improved considerably after expert ophthalmologists provided 1,426 high-quality eye scans that had been accurately labeled according to the conditions they showed.

Interestingly, this new dataset proved more effective than the AI’s original training set, which contained nearly 27,000 lower-quality images with less detailed labeling.

The use of the AI system increased again the following month, reaching 259 out of 1,126 examinations, or about 23 percent. The researchers attributed the rise to improvements that made the system faster and easier for staff to operate, including fewer clicks and less manual data entry.

The researchers noted that their early experience showed that introducing AI-based healthcare is not simply a matter of developing a powerful algorithm. Instead, it requires an entire ecosystem involving high-quality data, smooth workflow integration, clinician participation, proper oversight and monitoring, and clear evidence of clinical benefits.

Rapid Clinical Feedback Helps AI Improve Faster

They also emphasized that feedback from healthcare professionals needs to reach the AI system quickly. Delays of several weeks can limit the system’s ability to learn and improve effectively.

Overall, the researchers identified three key lessons: high-quality data, efficient system operation, and frequent, rapid feedback from clinicians.

The researchers stress that close collaboration between doctors and AI specialists is essential when developing and implementing AI-driven healthcare systems

Although AI-first clinics are still in their early stages, this small-scale trial suggests that they can work effectively when the necessary conditions are in place.

However, significant challenges remain. One major issue is the difference in how AI and doctors approach diagnosis. AI typically focuses on identifying the final result, such as whether a patient has an eye disease, while doctors usually begin by considering the patient’s symptoms, such as blurred vision.

Therefore, an AI system that performs highly accurately when analyzing medical scans does not automatically guarantee better patient care. The researchers suggest that future studies should look beyond AI performance scores and place greater emphasis on how the technology actually improves clinical outcomes and healthcare delivery.

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Artificial intelligence has already become part of kitchens, workplaces, and creative environments. Now, it is entering the bathroom through an unusual innovation: a toothbrush that detects the spaces between teeth and automatically directs liquid jets toward them.

Introduced on September 1, 2026, the Dyson CameraJet combines a macro camera, AI, and a targeted jet system to clean between teeth as users brush.

Priced at $499.99 in the United States, the device represents Dyson’s first entry into the oral-care market.

I can also make this version more journalistic, concise, or suitable for a science and technology article.

Inside the brush head, a 100,000-pixel macro camera captures 28 images every second as the user brushes.

AI Tracks the Gaps Between Teeth

Dyson’s Gap Optical Targeting machine-learning system processes the footage, detects and tracks the spaces between the teeth, and predicts where those gaps will appear.

When the system identifies one of these areas, the toothbrush releases a cone-shaped stream of mouthwash toward it in as little as 100 milliseconds. This targeted jet removes plaque from areas that bristles struggle to reach while the user continues brushing normally.

Dyson trained the technology on more than 470,000 dental images, while engineers built the complete product with roughly 16 million lines of code.

The camera serves a purpose beyond directing the liquid jets.

The CameraJet pairs with the MyDyson app, enabling users to see images of their mouth as they brush and receive guidance on their brushing technique.

Dyson says the captured images are not stored or shared. Image processing occurs directly on the device or through the app, and the company claims that neither it nor third parties can access the footage.

Smart Features Go Beyond the Camera

Beyond its camera system, the toothbrush includes Wi-Fi connectivity, built-in sensors, and an RFID-equipped brush head that detects when the bristles need replacing.

Dyson describes the technology using terms such as “liquid flossing” and “precision-flossing,” although its approach differs from conventional flossing, which involves physically passing a thread between the teeth.

The CameraJet contains a 12.5 ml mouthwash reservoir and releases a wide, cone-shaped jet toward the interdental spaces detected by its camera.

To develop and evaluate the system, Dyson spent five years collaborating with the Faculty of Dentistry at the National University of Singapore. The partnership involved creating an artificial plaque material for testing.

According to Dyson, the conical jet was selected because it removed more of this test plaque than the narrower streams commonly used in oral irrigators. However, the comparison took place in a laboratory and relied on specially developed testing material.

The level of engineering behind the device is considerable.

Dyson says the CameraJet required six years of development, involving 661 engineers and 30 dental professionals, and generated 38 patent applications.

Beyond the AI technology, the company created an oscillating bristle system that helps keep the bristles moving even when pressed against the teeth. Its charging base can also recharge the toothbrush and refill its liquid reservoir in roughly three seconds.

Specially Designed Oral-Care Products Keep the Camera Clear

The product range also includes non-foaming toothpaste and low-foaming mouthwash, specifically designed to keep bubbles from blocking the camera’s view.

The CameraJet offers an interesting example of a growing trend in consumer technology: computer-vision systems trained for a highly specific task and directly connected to a physical action.

Here, the AI does not need to chat, write text, or create images. Its job is much narrower: continuously identify the spaces between teeth and activate the cleaning mechanism at exactly the right moment.

The product also demonstrates how embedded AI differs from the large, general-purpose models that dominate today’s AI landscape.

Rather than trying to handle a wide range of tasks, this type of AI is designed to perform one specific function quickly and seamlessly enough to become almost invisible to the user.

Whether the combination of a camera, AI, and interdental cleaning provides enough value to justify a toothbrush costing nearly $500 remains to be seen. Dyson has published clinical and laboratory testing results on its website, but real-world use after the product’s market launch will offer a clearer picture of its effectiveness.

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In just his second week as Apple’s CEO, John Ternus unveiled the company’s first major iPhone design change since the device debuted nearly two decades ago.

Ternus, who succeeded Tim Cook, appeared at Apple’s annual launch event on Wednesday, September 9, presenting the company’s first foldable iPhone against a backdrop featuring large images of the new device.

Duo Becomes Apple’s Largest and Priciest iPhone

Named the Duo, the smartphone features a notebook-style design and is the largest iPhone Apple has ever introduced. It is also Apple’s most expensive model, starting at $1,999 in the U.S. and reaching $3,200. In Brazil, pre-orders are scheduled to begin on October 16, with prices starting at R$21,999.

According to Ternus, the Duo draws inspiration from the iPad, while its folding mechanism is designed to feel smooth and intuitive.

The foldable iPhone has reportedly been under development internally at Apple for several years. When opened, the Duo resembles a compact iPad; when folded, it takes the form of a wider iPhone.

During the presentation, Ternus said Apple wanted its foldable phone to stand out from existing models. He criticized competing designs for resembling “two phones glued together,” which can make the larger display feel smaller than expected.

According to Ternus, the Duo combines “a series of extraordinary innovations” intended to transform the foldable smartphone experience.

Apple’s CEO also played a direct role in developing the foldable iPhone. Before replacing Tim Cook, he spent several years leading Apple’s hardware division.

Ben Wood, chief analyst at technology research firm CCS Insight, suggested that John Ternus’s appointment as Apple CEO may have been strategically planned to coincide with what could become one of the company’s biggest iPhone launches in years.

“Nothing happens by chance at Apple,” Wood remarked.

Carolina Milanesi, an analyst at Creative Strategies who attended Wednesday’s presentation, noted that the attention given to Ternus made him appear “almost as if he himself were a product.”

The new iPhone design may also be Apple’s response to criticism that the company has not delivered a major breakthrough or a truly exciting innovation since the original iPhone debuted in 2007.

Foldable iPhone Could Become a Luxury Product

However, Forrester analyst Dipanjan Chatterjee warned that the foldable iPhone could become more of a luxury product than a major growth driver, offering prestige without significantly increasing sales.

Until now, the highest starting price for a newly launched iPhone had been $900 (approximately R$4,600). Apple’s iPhone 18 Pro and Pro Max start at $1,199 and $1,299, respectively. In Brazil, prices begin at R$11,999 and R$12,999.

Chatterjee compared the foldable iPhone’s potential trajectory to that of Apple’s Vision Pro headset. Launched at $3,699 (approximately R$18,900), the headset struggled to attract consumers and is not officially available in Brazil. The Duo could instead follow the Apple Watch model, selling millions despite being less popular than the iPhone.

Another challenge could be consumers’ familiarity with the traditional iPhone experience. Milanesi pointed out that although foldable devices attract considerable curiosity, users may need time to adapt to their software and learn how to transition from a conventional smartphone to a foldable model.

Wood pointed out that foldable smartphones from manufacturers such as Samsung and Huawei currently represent only about 2% of global smartphone sales. Although Apple’s entry could increase consumer interest in foldable devices, FDM CCM Insight estimates that they will account for just 4% of the overall smartphone market over the next decade.

The iPhone remains Apple’s top-selling product, generating more than half of the company’s annual revenue.

iPhone Demand Reaches Record Levels

In recent quarters, Apple has emphasized that iPhone demand has reached record levels, with its latest model becoming the most successful product launch in the company’s history.

Apple also provided new information about its revamped voice and conversational assistant, now known as Siri AI.

Beginning with the iPhone 18, Siri AI will be able to search information stored on users’ devices, including messages and emails, allowing it to find specific data, answer questions, and complete tasks on their behalf.

Some of these Siri AI capabilities will also come to the latest Apple Watch. Users will be able to record and transcribe conversations, as long as they activate the feature.

Ternus described the iPhone’s new AI functions as an “intelligent personal hub”, while acknowledging that the technology could handle some of the most private aspects of people’s everyday lives.

Siri AI Keeps User Data Protected

He stressed, however, that users’ information would remain protected. According to Ternus, many AI functions will run directly on the device rather than through external companies. When necessary, external services will securely process the information on a remote server or in the cloud.

Ternus contrasted Apple’s approach with companies that treat personal information as something to collect and store, emphasizing that even Apple would not be able to access users’ private data.

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The future of healthcare could be closer than ever, thanks to a smart patch designed to resemble the texture of human skin. Powered by artificial intelligence, the device can analyze health data directly on the body within milliseconds, without requiring Wi-Fi or an internet connection.

Real-Time Health Monitoring Without the Cloud

Unlike smartwatches, which often collect information and send it to remote servers for processing, this smart patch performs data analysis in real time. This could be especially important during medical emergencies such as ventricular fibrillation, where even a short delay in detecting a dangerous condition can have serious consequences. By processing information instantly, the patch could provide much faster health monitoring.

The technology is possible because of advances in producing organic electrochemical transistors on flexible surfaces. These advances allow engineers to integrate powerful computing capabilities into a lightweight patch that sits directly on the skin.

Sihong Wang of the University of Chicago says the researchers aim to make wearable and implantable medical devices more intelligent. Their long-term vision is to create devices capable of providing people with instant, personalized health assistance wherever they are.

The breakthrough lies in a flexible neuromorphic computing circuit—a large network of transistors designed to imitate the way the human brain processes information and analyzes health data. Researchers had previously demonstrated similar technology on a much smaller scale, but they have now developed it at a practical and potentially transformative size.

At the heart of the system are organic electrochemical transistors, or “neuro-transistors.” Unlike conventional computer chips, these devices process information using both electrical currents and ions. They also have built-in memory, allowing them to retain information reliably—similar to how synapses in the brain learn and become stronger over time.

However, producing these devices presented significant manufacturing challenges. Heat and chemical solvents could easily damage the flexible material, while the electrolyte gel layer could cause unwanted short circuits. Overcoming these problems required a major engineering breakthrough.

New Polymer Gel Unlocks Next-Generation Wearable Computing

The solution was a new polymer gel that can be hardened using ultraviolet light. This innovation enabled researchers to manufacture up to 10,000 organic electrochemical transistors per square centimeter, delivering sufficient computing capacity for next-generation wearable technologies.

In other words, the future of intelligent health monitoring could be built literally at the surface of our skin.

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The double arm and shoulder transplant received by Icelandic national Felix Gretarsson marked a major milestone in medical history. The groundbreaking operation was carried out in Lyon, France, in January 2021, over 20 years after Felix lost both arms in a serious workplace electrical accident.

Felix’s journey began in January 1998, when he was working as an electrician in Iceland and was exposed to an electrical shock of around 11,000 volts. The accident caused life-changing injuries, resulting in the amputation of both arms. He then spent many years undergoing medical treatment and rehabilitation.

More than two decades later, Felix’s life took a new and hopeful turn.

In January 2021, Felix received the world’s first double arm transplant that included both shoulders.

The Challenge of Reconstructing Arms and Shoulders

The groundbreaking surgery was performed at Édouard Herriot Hospital in Lyon, France, with the participation of dozens of medical specialists. The operation was extremely challenging because surgeons had to reconstruct not only the arms but also important structures around the shoulders.

Immediately after the surgery, doctors avoided predicting how much movement Felix would eventually recover. Instead, they focused on closely monitoring the healing and response of his nerves, muscles, and other transplanted structures.

His recovery was expected to take several years and required continuous medical care and intensive rehabilitation.

Over the following months, Felix began to show encouraging signs of recovery.

Later reports indicated that he had regained some sensation in his transplanted arms and could perform basic tasks that had been impossible since his accident.

He was able to hold lightweight objects, shake hands, walk his dog, bathe, dress himself more independently, and most importantly, hug his loved ones again.

His recovery attracted worldwide attention because the operation was the first of its kind to involve both arms and shoulders.

Recovery Beyond the Surgery

However, the recovery process did not end with the surgery. Such a complex transplant requires ongoing physical therapy, rehabilitation, and regular long-term medical care.

Felix has openly described the years after his accident as an extremely challenging period. With time, however, he chose to rebuild his life and explore possibilities that could help him become more independent.

His search eventually brought him to a French medical team that spent years investigating whether a double arm and shoulder transplant could be successfully performed.

Felix was added to the waiting list for a suitable donor and eventually received the opportunity to undergo the historic operation in January 2021.

Since the transplant, he has regularly shared updates about his recovery and rehabilitation on social media. Videos posted over the years have shown the gradual return of movement and other improvements in his transplanted limbs.

Expanding the Possibilities of Transplantation

Felix Gretarsson’s experience became more than a story of personal determination. It also represented an important scientific breakthrough, showing new possibilities in reconstructive transplantation that had never been achieved before.

More than 20 years passed between the accident that changed his life and the groundbreaking surgery that made medical history.

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New research suggests that Arctic warming is creating two different climate patterns in Siberia that could lead to rapid increases in methane emissions.

Western Siberia is becoming wetter because of rising temperatures and moisture from the North Atlantic, while eastern Siberia is becoming drier and more vulnerable to wildfires. The Yenisei River separates these two climate regions.

Rising Methane Emissions Across Siberia

From 2010 to 2023, Siberia’s methane emissions increased by about 5% annually. Western Siberia released methane from thawing soils, while eastern Siberia released it through wildfires.

growing permafrost thaw, wetland activity, and wildfires. However, the size and continued rise of these emissions was unexpected.

During the study period, annual methane emissions increased by around 13.2 million tons (12 million metric tons), similar to the global rise in methane emissions from wetlands. Although Siberia currently contributes about 5% of global methane emissions, it is becoming one of the fastest-growing natural sources of methane worldwide.

Palmer and his team combined satellite data with measurements taken near the ground to track Siberia’s methane emissions over time. Rather than calculating emissions from individual sources, they used a methane flux inversion model to reduce uncertainty in their estimates to about 10%.

Challenges of Monitoring Methane in Siberia

Because Siberia is enormous, remote, and has limited monitoring equipment, collecting consistent methane data is difficult. The Russia-Ukraine war has also made access more challenging for many scientists. Satellites are therefore especially useful for monitoring the region. Although satellite observations depend on sunlight, most methane emissions occur during spring and summer, when Siberia receives more sunlight.

The study found that Arctic warming increases methane emissions through different processes in western and eastern Siberia because the two regions experience different climate conditions. Climate models also suggest that further warming could release millions of tons of greenhouse gases stored in forests and permafrost, potentially speeding up global warming.

In western Siberia, most methane comes from thawing permafrost, which is ground that remains frozen for at least two years.Siberia holds 46% of Northern Hemisphere permafrost, storing vast amounts of carbon.

Western Siberia is affected by the Scandinavian atmospheric circulation pattern. Global warming causes this pattern to bring more heat and moisture from the North Atlantic into the region. Rising temperatures thaw permafrost, allowing microbes to release methane.

In contrast, eastern Siberia is affected by the Arctic Oscillation, a climate pattern involving changes in air pressure between the Arctic and the middle latitudes. Climate change can alter this pattern, creating long-lasting high-pressure conditions that increase heat waves, reduce cloud cover, and raise the risk of wildfires in the region.

Climate models indicate that methane emissions will rise as temperatures increase. Moreover, emissions could grow even faster as the planet becomes hotter, creating a feedback cycle that contributes to further warming.

Eastern Siberia’s Rising Methane Emissions

Eastern Siberia may drive future methane increases due to faster warming and rising wildfires. However, future emissions will depend partly on how much vegetation remains to burn. Wildfires may also speed up permafrost thaw, releasing methane from previously frozen ground.

Continued warming could greatly increase methane emissions. Siberia’s enormous stores of carbon in permafrost could become a major source of greenhouse gases if rising temperatures continue.

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If you struggle to concentrate or remain fully present, a new device can now track how frequently your attention wanders.

That is the idea behind Atlas, a wellness startup’s first wearable device. The device helps users understand how their brains respond in different situations, enabling them to identify and optimize the activities that matter most, from work to social interactions.

Wearable tracks brain activity and attention throughout the day

The Atlas 1.0 is an electroencephalography (EEG) device that attaches behind the ear with an adhesive pad placed on the skin. It continuously monitors brain activity throughout the day while also recording electrodermal activity, body movement, and speaking behavior. Additional sensors analyze speech patterns without recording the actual words being spoken.

Atlas sends these signals to its AI-powered system, which analyzes them to estimate your level of attention and presence, how stressed you were, and how much energy you used during different activities, whether you were in a meeting, spending time with family, or completing a task at work.

App insights reveal your best and weakest performance moments

The companion mobile app displays these measurements, giving users a clearer picture of when they were performing at their best and when their focus or energy may have dropped.

Atlas seeks to answer questions such as whether you were truly engaged during dinner with your family, which people bring out your best self, whether pressure improves your performance, and which activities you continue to prioritize even when you’re exhausted.

According to the company, consistently recording this information over several months can reveal detailed patterns in how you respond to different situations and help identify the circumstances in which you perform at your best.

Users can then use those insights to recreate the conditions that help them stay focused and engaged. In Atlas’ words, the goal is to identify the “patterns, people, and habits that drive peak performance.”

Atlas says its algorithms use what it describes as the world’s largest real-world brain activity dataset to train its system, with more than 500,000 recordings.

Can brain data help overcome today’s distractions?

While that is a substantial amount of data, the real test will come after users have collected information over several months. The concept is particularly appealing in an age when multiple screens constantly compete for our attention and can make it increasingly difficult to stay focused and present. The bigger question, however, is whether all this data can actually help people overcome such powerful sources of distraction.

The answer will take some time to emerge. Based in San Francisco, Atlas has raised $24 million to develop activity-monitoring technology. The wearable itself costs $500 upfront, while users must pay an additional $30 per month for replacement sensors, adhesive pads, and access to the company’s AI-powered data analysis services.

The purchase includes the first three months of supplies and services. Pre-orders are currently available, with deliveries scheduled to begin in the first quarter of 2027.

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A widely used sweetener found in products such as chewing gum, toothpaste, jam, yogurt and ice cream has been associated with a higher risk of strokes, heart attacks and death.

Xylitol is a type of sugar alcohol that naturally occurs in certain foods, although usually only in very small quantities.Manufacturers also add it to many foods, drinks, and oral-care products as an artificial sweetener, sometimes at levels up to 1,000 times higher than those found naturally.

Researchers have not extensively studied the long-term effects of xylitol on human health, despite its significantly increased use.

Higher Blood Xylitol Linked to Increased Cardiovascular Risk

In the largest study of its kind, scientists discovered that people with higher levels of xylitol in their blood had a greater risk of serious cardiovascular events, including heart attacks and strokes. Scientists presented the results in Munich at the annual congress of the European Society of Cardiology (ESC), one of the world’s largest cardiovascular conferences.

Researchers analyzed data from 17,710 people, comparing the 25% who had the highest concentrations of xylitol in their blood with the 25% who had the lowest levels.

The group with the highest xylitol levels had a 57% greater likelihood of dying or experiencing a heart attack or stroke within six years compared with those with the lowest levels. Even after 30 years, their risk of experiencing one of these cardiovascular events remained 18% higher.

When the researchers also considered the groups in between, the findings suggested a dose-response relationship: as blood xylitol levels increased, so did the rate of cardiovascular events.

The increased risk remained consistent regardless of basic characteristics such as age and sex. The researchers also found that the association was independent of other factors, including body mass index, high blood pressure, diabetes and blood lipid levels, which could influence people’s tendency to consume low-calorie products.

Dr Marco Witkowski, a study author from Charité University Hospital in Berlin, said the findings added to previous research that had raised concerns about the potential health effects of xylitol.

Xylitol May Promote Blood Clot Formation and Cardiovascular Risk

“In earlier research, we found that xylitol may increase the ability of blood platelets to form clots,” Witkowski explained. His team also discovered that people with high levels of xylitol in their blood had a greater risk of cardiovascular events over a three-year period, particularly among those already at high risk.

He noted that many people choose artificial sweeteners because they believe they are healthier than sugar, while regulatory authorities generally consider these products safe.

“However, our long-term results from the general population demonstrate how limited our knowledge remains about the cardiovascular safety of xylitol. More research is needed, particularly as the use and concentration of xylitol in consumer products continue to rise,” he said.

Prof Dan Atar, a member of the European Society of Cardiology’s communications committee who did not participate in the study, said modern society widely uses artificial sweeteners and regulators generally consider them safe.

“Nevertheless, this observational study suggests that xylitol may have a harmful long-term association with cardiovascular events in the general population. Because observational research cannot establish cause and effect with certainty, additional studies are necessary to better understand this important public-health issue.”

Dell Stanford, a senior dietitian at the British Heart Foundation, said that risks to heart health can develop gradually over time, making it important to ensure that ingredients added to foods do not increase those risks.

Stanford explained that artificial sweeteners such as xylitol are present in many foods and beverages. Because people may believe these products are healthier, they could consume more of them than they realize. She said the study contributes to growing evidence that artificial sweeteners may affect human health.

Study Shows Association, Not Direct Causation

However, she emphasized that the research was observational, meaning it identified an association between higher xylitol levels and cardiovascular events but did not prove that xylitol directly caused them. Further research is therefore necessary.

Stanford also stressed that the findings should not be interpreted as a reason to consume more sugar, since reducing free-sugar intake remains important.

She concluded that the study highlights the need to reduce consumption of processed foods and drinks, which often contain high amounts of sugar, salt or sweeteners, while maintaining a balanced diet to support heart health.

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The second World Humanoid Robot Games began on August 21 at Beijing’s National Speed Skating Oval, drawing attention mainly to robot sprinters and boxers. However, beyond the competitions, the five-day event highlights an important reason why China is taking the lead in the robotics race.

This year’s games feature 666 teams and 2,056 humanoid robots competing in 30 events, along with numerous demonstrations and showcase performances. The competition provides a clear snapshot of the robotics industry in 2026. Although humanoid technology still has significant room for development, comparing this year’s event with the 2025 highlights shows how much progress has been made in just one year.

Humanoid Robot Lightning Breaks Usain Bolt’s 100-Meter Record

One of the biggest stories so far is Lightning, a humanoid robot developed by phone manufacturer Honor, which surpassed Usain Bolt’s 100-meter sprint record. Lightning completed the race in 9.32 seconds, faster than Bolt’s 9.58-second human world record, which has stood for 17 years.

Earlier this year, in April, Honor’s humanoid robots also performed strongly at the Beijing robot half-marathon, earning recognition not only for speed but also for their walking style and design. These features are increasingly becoming important areas of development as humanoid robots continue to evolve.

The most important point is not the record itself, but the story behind the robot’s development.When I first covered Chinese technology, it was surprising to see companies like Xiaomi and Xpeng making cars, smartphones, robots, and even eVTOL aircraft.

However, China’s technology supply chain is unlike any other in the world. Its interconnected ecosystem allows companies to diversify into different industries while often strengthening their products rather than limiting them. This applies whether the product is a smartphone, a car, or a humanoid robot. Events like the World Humanoid Robot Games help engineers share ideas and compare results. In 2024, an initiative was introduced to promote data sharing among humanoid robotics startups and companies.

Companies such as Unitree and UBtech are competing aggressively for both domestic and international markets, creating strong competition. They operate in an ecosystem supporting hundreds of humanoid robot teams in 2026.

Jin Yongbin, Chief Technology Officer at MirrorMe Technology, believes China has an extremely complete supply chain for robotics. According to him, key components such as motors, batteries, electric drives, and transmission systems are closely connected to the country’s established automotive industry. This allows companies to adapt the existing automotive supply chain for robotics.

alancing Speed, Strength, and Stability in Humanoid Robotics

MirrorMe has developed Bolt, a 1.75-meter-tall, 75-kilogram humanoid robot capable of reaching speeds of 11 meters per second. Although Bolt is slower than Lightning, Jin argues that speed is about much more than simply moving fast. It requires overcoming engineering challenges involving strength, durability, stability, and movement.

He also emphasizes that achieving higher speeds requires engineers to study biological movement, understand how dynamic motion works, and determine how those principles can be applied to humanoid robots.

Jin added that events like these are important for sharing ideas, comparing different technologies, identifying their strengths and weaknesses, and improving the robotics supply chain more quickly.

China’s Collaborative Approach to Robotics and AI Innovation

This highlights another important difference between China’s robotics and AI industries. While there is strong competition between companies, technological progress often resembles a nationwide collaborative effort, with engineers exchanging knowledge and learning from one another across organizational boundaries.

Ultimately, describing the competition between the US and China as a simple “robot arms race” is an oversimplification. Both countries are advancing rapidly, but they appear to be following different paths and competing in different areas of the broader technology race.

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A new upgrade to the International Space Station’s (ISS) quantum laboratory is allowing NASA to investigate atomic behavior in greater detail than ever before.

By combining the upgraded “Cold Atom Laboratory” with the microgravity environment of low Earth orbit, scientists are studying the properties of ultracold atoms under conditions that are extremely difficult to recreate on Earth. The goal is to observe how clouds of atoms behave at temperatures approaching absolute zero — around -459.67°F (-273.15°C), the lowest possible temperature, where atoms nearly stop moving.

Ultracold Matter Reveals New Quantum Behaviors

Jason Williams, a project scientist for NASA’s Cold Atom Laboratory at the Jet Propulsion Laboratory, explains that matter behaves very differently at such extreme temperatures. Its wave-like properties become dominant, allowing ultracold matter to display unexpected phenomena and enable highly precise measurements of time, gravity, and motion. With the latest upgrade, the laboratory now has even more capabilities to explore these fundamental properties of the universe.

Atoms and their subatomic particles follow the principles of quantum mechanics, meaning their behavior is fundamentally different from what we observe in the everyday, macroscopic world. For instance, quantum theory suggests that particles can exist in multiple locations simultaneously, become connected across enormous distances through quantum entanglement, and behave both like waves and like distinct particles.

However, detecting these unusual effects is extremely challenging.Atoms are incredibly small — even if we enlarged an atom to the size of a golf ball, a person launching it would stand about as tall as the distance from Earth to the Moon. In addition, studying quantum behavior in ordinary environments, such as on Earth, is difficult because factors like heat and gravity can interfere with and disrupt these delicate quantum effects.

To address these challenges, the ISS’s mini-fridge-sized Cold Atom Laboratory uses lasers to cool rubidium and potassium gases to temperatures just above absolute zero. Under these extreme conditions, the atoms form a state of matter called a Bose-Einstein condensate, where large numbers of atoms act together as a single quantum wave.

Microgravity Enables Longer Quantum Observations

This setup allows researchers to study quantum effects on a scale far larger than individual atoms. The microgravity environment allows matter waves to expand and evolve for longer periods with minimal disturbance, something scientists cannot achieve as easily on Earth.

This marks the fourth major upgrade to NASA’s Cold Atom Laboratory since it was installed aboard the ISS in 2018. The latest improvements include a redesigned magnetic trap for holding the atomic cloud, enhanced atom sources, and more advanced measurement capabilities.

The upgraded equipment was sent to the ISS in April 2026 and has since been installed and activated, allowing scientists to begin conducting highly advanced measurements. Beyond supporting new experiments in fundamental physics, these capabilities are helping demonstrate future space-based quantum technologies for precise positioning, navigation, timing, and gravity measurements. In the future, such technologies could help astronauts navigate the Moon without GPS and create highly detailed maps of Earth’s gravitational field.

Ethan Elliott, deputy project scientist at NASA’s Jet Propulsion Laboratory, compared the work to the quantum revolution of the 20th century, which contributed to technologies such as lasers, mobile phones, and MRI scanners. He explained that researchers are now entering a new phase of quantum science by directly controlling large quantum states, with the goal of achieving similar technological breakthroughs through experiments conducted in space.

Read the original article on: livescience

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