“Robots that make judgments like humans are coming faster than we think.” A core technology that will accelerate the era where robots understand human intentions and choose the correct actions on their own has been developed in South Korea. KAIST researchers solved a key challenge in the commercialization of physical AI by developing a technology where AI learns human judgment criteria on its own with just a few videos. KAIST announced on June 10th that a research team led by Professor Chang D. Yoo from the School of Electrical Engineering has developed 'VOTP (Video-based Optimal TransPort Preference)' for the first time in the world, a new technology that allows AI to learn human intentions and judgment criteria using just a few preference videos instead of thousands to tens of thousands of human evaluation data points.

Researchers innovated artificial photosynthesis technology by optimizing the electrolyzer part of the system. This tweak enables the continuous production of solar fuel, even with fluctuations in sunlight intensity.

A study  in the Journal of Cosmology and Astroparticle Physics (JCAP)  explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard cosmological model — while also revealing an unexpected risk: sometimes AI systems can become too reliant on what they already know.

A new vertical design for wearable health monitors is reported to permanently separate expensive electronic components from single-use fluid channels to solve the primary cost barrier in sweat tracking.

Managing the 1.7 billion tons of pig manure produced globally each year presents a dual challenge for agriculture: preventing air and water pollution while retaining valuable nutrients for fertilizer. Aerobic composting is a common solution, but the process releases significant amounts of ammonia (NH₃), an air pollutant, and nitrous oxide (N₂O), a potent greenhouse gas. Researchers at the Chinese Academy of Agricultural Sciences have developed an effective and scalable solution by creating an iron-modified biochar (FeBC) that simultaneously cuts these emissions and improves compost quality.

The research team, led by Qingwen Zhang, prepared the additive by infusing biochar derived from corn stover with an iron solution. This simple modification produced a material with a 4.6-fold increase in specific surface area and a richer array of surface functional groups compared to untreated biochar. In a controlled composting experiment with pig manure, the addition of 5% FeBC dramatically reduced cumulative NH₃ emissions by 46.7% and N₂O emissions by 41.7% relative to the unamended control. The iron-fortified biochar also outperformed standard biochar, demonstrating its superior ability to lock nitrogen into the compost.

Over-reliance on chemical fertilizers to feed a growing population has often led to soil degradation and a decline in microbial diversity. Scientists are seeking sustainable alternatives that can maintain crop yields while revitalizing the soil. A new field study from the Chinese Academy of Agricultural Sciences offers a promising solution by demonstrating how biogas slurry—a nutrient-rich liquid byproduct of anaerobic digestion—can significantly enhance soil health and its ability to sequester carbon.

The investigation was conducted over three years at a dryland agriculture research station in China. Researchers compared the effects of applying biogas slurry topdressing (BST) against conventional chemical fertilizer topdressing (CFT) on maize crops. By collecting soil samples at three different depths and three distinct crop growth stages, the team performed a comprehensive analysis of soil chemistry and used 16S rRNA gene sequencing to map the changes in the bacterial communities over time and space.

Upgrading raw biogas into pipeline-quality methane is a critical step for expanding renewable energy, but current purification methods can be costly and energy-intensive. A team of researchers led by scientists at Universiti Malaysia Pahang Al-Sultan Abdullah has developed a novel solution by transforming a common agricultural waste—eggshells—into a high-performance filter that efficiently separates carbon dioxide (CO₂) from methane (CH₄). This innovative approach offers a low-cost, environmentally friendly pathway to cleaner energy.

The research focuses on creating advanced mixed matrix membranes (MMMs), which combine the processability of polymers with the selective properties of filler materials. While high-tech fillers like metal-organic frameworks can be effective, their high cost limits widespread use. The Malaysian-led team turned to eggshells, an abundant and inexpensive source of calcium carbonate. By applying a simple, chemical-free heating process called calcination, they converted the eggshells into nanostructured calcium oxide (CaO) particles with a uniquely high surface area.

Lanthanide nanocrystals offer ultrahigh color purity and high stability, but their insulating nature has long blocked efficient electrical excitation. In a commentary, researchers highlight that specially designed surface molecules can transfer triplet exciton energy into these nanocrystals, enabling bright multicolor electroluminescence. Notably, this strategy enabled development of efficient light-emitting diode (LED) devices with simplified architectures and tunable emission colors. These findings open new opportunities for future displays, optical communication, and next-generation micro-LED technologies.