The state media of the Maldives, PSM News, reported on Saturday the opening of the first shark research center in the Maldives. This center is located in the city of Fuvahmulah.
According to PSM News, this center will conduct scientific research, provide educational programs about marine life, and strengthen cooperation between scientists, nature conservation specialists, and local residents.
Local authorities and diving centers are actively promoting Fuvahmulah as a leading destination for shark diving. It was noted that the city received the 'Best Shark Diving Spot' award at the largest diving exhibition in Asia in December 2024.
Overall, the Maldives has established itself as one of the world's destinations for shark tourism.
Keep Company introduced its proprietary vertical sports model, Keepace.ai, at the WAIC 2026 event. This model prioritizes adherence to safety boundaries over general functionality. It was developed based on 14 billion records of real exercises and incorporates over 700 metrics in a panoramic feature graph.
The presentation of Keepace.ai marked the first public demonstration of the company's core artificial intelligence capabilities since announcing the 'All in AI' strategy in early 2025. The model addresses a critical issue in general AI systems for fitness applications: while universal models strive for maximum utility, they lack the necessary safety constraints, scientific rigor, and personalization detail required for proper physical load consultation, as incorrect advice can lead to physical harm.
The vertical approach was motivated by three main aspects. Firstly, safety boundaries: an error in a general chatbot requires only user verification, whereas the same error in exercise recommendations provided to a human can cause irreversible damage. The Keepace.ai architecture treats safety as a hard constraint embedded in the training and evaluation system, rather than merely an optimization goal. Secondly, filtering pseudoscientific claims: the fitness sector is one of the most marketing-saturated environments on the internet, where myths are widespread, such as the idea that the more you sweat, the more fat you burn. General models absorb and reproduce such misconceptions from training data, whereas Keepace.ai uses authoritative source verification as a strict evaluation criterion. Thirdly, personalization detail: transforming raw sensor data into an accurate model of a user's physical capabilities requires specialized training unavailable to general models.
Currently, Keepace.ai supports three use cases: generating workout plans, answering exercise knowledge questions, and interpreting exercise data. For instance, when requested to perform back exercises with dumbbells, accompanied by a message about recent back discomfort, the model recognizes the risk and suggests a single-arm row instead of bent-over rows or deadlifts to reduce strain on the spine. In Q&A mode, if asked about running pace for weight loss, the model first establishes that calorie deficit is the fundamental principle, and then refutes the common misconception that the body burns sugar before fat, explaining that all three energy systems work simultaneously with proportions depending on intensity. Every recommendation is supported by a link to authoritative sources verified by sports science consultants.
A significant advantage supporting Keepace.ai is the extensive dataset: 14 billion real exercise records collected over a decade, structured into a panoramic feature graph including 17 label categories and over 700 metrics. This structured long-term data represents a competitive advantage that cannot be acquired or replicated solely through investment in computing power. In 2025, Keep achieved its first annual profitability, showing adjusted net profit of 25.22 million RMB, overcoming the previous year's loss of 470 million RMB, while gross margin increased to 52.2%. The company views AI investments as cost replacements rather than additions, using AI to substitute traditional content creation costs while simultaneously enhancing service quality and enabling potential revenue growth tenfold. According to Keep's thesis, vertical AI models outperform general models where domain limitations render the latter unsafe. At its initial stage, Keepace.ai prioritizes safety over personalization, with the algorithm lead emphasizing that understanding sports means knowing what not to train and explaining why.
After visitors walked 30,000 steps through the WAIC 2026 exhibition hall, four fundamental shifts in the robotics industry became evident.
The first change is the transformation of the hall from a platform for robot demonstrations into a full-fledged commercial market. Guests are no longer limited to watching robots dance, hit balls, or perform martial arts; they are starting to inquire about prices, delivery terms, agents, and application scenarios. Booths display rental rates starting from 100 yuan per day and 3,000 yuan per month, while international purchasing groups move through the hall holding signs that read 'Buyer Delegation.' Real purchase orders are being signed at the exhibition itself.
Secondly, motion control capabilities have reached a level of democratization. Previously, Unitree Robotics was recognized as exceptional for its ability to ensure smooth robot movement, but at WAIC 2026, Booster Robotics T1 demonstrated accurate scoring in soccer goals, Beijing Humanoid Innovation Center Tiangong 3.0 performed dance routines, and AGIBOT Q1 showed boxing movements. Numerous companies showcased smooth locomotion. Walking, running, and jumping have become basic requirements rather than a competitive advantage. As Technical Director of LimX Dynamics noted, control technologies are converging, and the gap between companies has significantly narrowed. Complex engineering, which previously distinguished leaders, is now a necessary minimum.
The third shift relates to the industry's transition from a universal approach to a concentration on vertical applications. Instead of claiming to create general-purpose humanoid robots, companies are now presenting their robots in specific, realistic scenarios. Kepler Robotics functions as a barista, Star Dynamics demonstrates assembly on a conveyor belt, YouiBot shows parts extraction in a factory, and Leju creates a store for retail tasks. Notably, many robots have stopped insisting on full anthropomorphism. Some use grippers instead of dexterous hands, while others replace legs with wheeled bases. Form now follows function, not anthropomorphic ideals.
The fourth change concerns the shift of core progress from visible presentations to invisible infrastructure. While flashy demonstrations attract attention on social media, true advancements are concentrated in models, data, sensory perception, and learning systems. The evolution of humanoid robots has reached a temporary equilibrium that holds potential for further differentiation. The winning companies will be those that can solve complex problems of reliable task execution, safety assurance, and cost-effective production, whereas those relying solely on motion control will face commoditization. The robotics exhibition at WAIC 2026 shows that the industry is entering a pragmatic phase, where the question has shifted from 'can robots move?' to 'can robots work?', and the answer to this will determine company survival in the transition from spectacle to service.
Recent analysis of samples collected on the far side of the Moon has shown that Earth's magnetosphere directly influences how solar wind affects the lunar surface. The study, published in Nature Geoscience, demonstrates that the two hemispheres of the Moon are exposed to solar particles at different speeds and energies, leaving distinct traces on the lunar regolith.
Researchers utilized regolith delivered by the Chinese Chang’e-6 mission. Solar wind is a continuous stream of high-speed charged particles that bombards the Moon's surface over billions of years. The regolith, a layer of soil and rock fragments covering the Moon, functions as a natural archive of this bombardment, preserving volatile elements arriving from the solar wind, including noble gases such as helium, neon, argon, krypton, and xenon.
Because these gases are chemically inert, they serve as highly reliable indicators for studying how solar wind has integrated into the lunar regolith over time.
Until recently, the lack of samples from the far side of the Moon prevented a direct comparison of solar wind impact on both hemispheres. This situation has changed thanks to the Chang’e-6 mission, which returned 1.935 grams of regolith collected in the South Pole-Aitken basin, located on the Moon's hidden side. These samples allowed for the first direct comparison of solar wind deposition processes between the Earth-facing side and the opposite side.
The research team, led by postdoctoral researcher Zhang Xuhang under Professor He Huaiyu, both from IGG, analyzed the isotopic composition of noble gases in these samples. Scientists from the University of Science and Technology of China and the team responsible for the volatile payload of the Chang’e-7 mission also participated in the study.
During the analysis, scientists discovered noticeable differences in the isotopic composition of neon in the far-side samples. The average ratio of 20Ne to 22Ne was 11.34 ± 0.22, significantly lower than what was found in all previously collected near-side lunar samples. According to the researchers, this result approaches the theoretically expected isotopic composition after intense fractionation caused by the solar wind. This indicates that the hidden side underwent more intense isotopic fractionation, promoting the enrichment of the heavier isotope.
Differences were also observed in the behavior of krypton and xenon. In laboratory experiments involving gradual heating, xenon from the solar wind in the Chang’e-6 samples was released predominantly at high temperatures, forming a single release peak. In contrast, samples previously collected by the Chang’e-5 mission on the near side of the Moon showed two distinct peaks, with noticeable release at both low and high temperatures.
The authors note that this behavior suggests that solar wind ions penetrated significantly deeper into the regolith of the far side, proving that this region was subjected to higher-energy particles.
To explain this difference, researchers attribute the phenomenon to the so-called 'speed control' effect exerted by Earth's magnetosphere. During its orbital movement, the Moon periodically passes through the magnetospheric bath—a transitional zone around Earth's magnetosphere. In this area, the solar wind slows down, reducing its typical speed from about 400 kilometers per second to around 200 kilometers per second.
This slower solar wind primarily reaches the side of the Moon facing Earth, causing particles to penetrate less deeply into the ground. The far side, conversely, remains constantly turned away from Earth and is therefore exposed to undisturbed solar wind, allowing higher-energy particles to reach deeper layers of the regolith.
Based on the analyses, researchers suggest that about 25% of the total solar wind impact recorded at the Chang’e-5 landing site was due to this magnetosphere-slowed wind. The Chang’e-6 landing site, however, was not subject to this protective effect.
The authors argue that this study provides the first direct empirical evidence, based on far-side lunar samples, that Earth's magnetosphere controls the speed of solar wind reaching the lunar surface. This effect is preserved in both particle penetration depth and the isotopic signatures of noble gases present in the regolith. Researchers also state that these noble gases can act as 'fossils' recording the interactions between Earth's magnetosphere and the solar wind throughout history.
When combined with paleomagnetic data, these traces may offer a new method for reconstructing the evolution of Earth's magnetosphere over millions of years. The team believes that the findings demonstrate that the interaction between the Sun, Earth, and Moon is more complex than previously thought, opening a new window for understanding these ancient dynamic processes.
