What if a machine could suck up carbon dioxide from the atmosphere, run it through a series of chemical reactions, and essentially spit out industrially useful plastic?

“I think that is something that we, as a society, would be interested in. After all, in addition to being a greenhouse gas, carbon dioxide is an abundant and inexpensive feedstock,” says Theo Agapie, Ph.D., the John Stauffer Professor of Chemistry and the executive officer for chemistry at Caltech. “With our new work, we have taken a significant step in that direction.”

Reporting in the journal Angewandte Chemie International Edition, Agapie and a team of Caltech chemists have developed a system that uses electricity from sustainable sources to carry out the chemical conversion of carbon dioxide (CO₂) into molecules, such as ethylene and carbon monoxide, that are useful for making more complex compounds.

Solar and wind energy are highly variable, dependent on the day, weather and location of the facilities. At times, they can generate more electricity than is needed, but they can also fall short when demand is at its peak. Unfortunately, any extra energy created by these sources is often wasted, as there are few methods that adequately store it long-term. To improve energy security in the United States, the nation requires both sources of energy and novel ways to store and distribute it.

In a new study, published in Cell Reports Sustainability, researchers from Lawrence Livermore National Laboratory (LLNL) have explored how a reactive carbon dioxide capture and conversion (RCC) process could be used to produce synthetic renewable natural gas—a chemical form of long-duration energy storage.

“Rather than sourcing carbon from below-ground, RCC enables the use of above-ground carbon as a resource,” said LLNL scientist and lead author Alvina Aui. “Synthetic renewable natural gas, when used as an energy-storage option, can reduce grid instability caused by the intermittency of energy sources like wind and solar.”

The company says it has cracked the code for error correction and is building a modular machine in New York state.

Insights from a new study could help unlock the full potential of a developing form of smaller-scale wind power generation, researchers say.

Engineers from the University of Glasgow have used sophisticated computer simulations of bladeless wind turbines (BWTs) to identify for the first time how future generations of the technology could be built for maximum efficiency.

The team’s paper, titled “Performance analysis and geometric optimisation of bladeless wind turbines using wake oscillator model,” is published in Renewable Energy.

Koenigsegg founder Christian Von Koenigsegg may be responsible for amazing supercars, but he gets around on a daily basis in a humble Toyota GR Yaris

We are currently facing the possibility of achieving immortality for humans by 2030. This prediction comes from renowned futurist Ray Kurzweil, who has a history of making accurate predictions. He anticipates that with the ongoing progress in genetics, robotics, and nanotechnology, we will soon have nanobots coursing through our bloodstream, which could enable us to live forever. It’s truly remarkable to consider that this could be a reality within just seven years.

Nanobots, which are small robots sized between 50–100 nm in width, are currently being used in various clinical medical applications. They are used in research as DNA probes, imaging materials for cells, and targeted delivery vehicles for cells. According to Kurzweil, nanobots represent the future of medicine.

They will be capable of repairing our bodies at a cellular level, making us resistant to diseases, aging, and, ultimately death. Additionally, he theorizes that humans may be able to transfer their consciousness into digital form, leading to immortality.

Proton beams with giga-electron-volt (GeV) energies—once thought to be achievable only with massive particle accelerators—may soon be generated in compact setups thanks to a breakthrough by researchers at The University of Osaka.

A team led by Professor Masakatsu Murakami has developed a novel concept called micronozzle acceleration (MNA). By designing a microtarget with tiny nozzle-like features and irradiating it with ultraintense, ultrashort laser pulses, the team successfully demonstrated—through advanced numerical simulations—the generation of high-quality, GeV-class proton beams: a world-first achievement.

The article, “Generation of giga-electron-volt proton beams by micronozzle acceleration,” was published in Scientific Reports.

A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles such as glass walls, providing an alternative to high-performance sensors. This technology can be used in existing robots, negating the need for additional equipment while ensuring detection performance that is equal to that offered by expensive conventional equipment.

The paper is published in the journal IEEE Transactions on Instrumentation and Measurement. The team was led by Professor Kyungjoon Park at the Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science & Technology.

Autonomous driving robots typically use LiDAR sensors to detect their surroundings and navigate. Functioning as “laser eyes,” expensive LiDAR sensors determine distance and structure by projecting light and measuring reflection time.

A University of Nebraska–Lincoln engineering team is another step closer to developing soft robotics and wearable systems that mimic the ability of human and plant skin to detect and self-heal injuries.

Engineer Eric Markvicka, along with graduate students Ethan Krings and Patrick McManigal, recently presented a paper at the IEEE International Conference on Robotics and Automation in Atlanta, Georgia, that sets forth a systems-level approach for a soft robotics technology that can identify damage from a puncture or extreme pressure, pinpoint its location and autonomously initiate self-repair.

The paper was among the 39 of 1,606 submissions selected as an ICRA 2025 Best Paper Award finalist. It was also a finalist for the Best Student Paper Award and in the mechanism and design category.

A team of roboticists and AI specialists at the Robotics & Artificial Intelligence Lab in Korea has designed, built and successfully tested a four-legged robot that is capable of conducting high-speed parkour maneuvers. In their paper published in the journal Science Robotics, the group describes how they gave their robot a controller capable of both planning and tracking its own movements to allow it to freely traverse a range of environments.

Parkour is an obstacle course type athletic discipline that takes place in unpredictable, real-world, generally urban environments —it involves climbing walls, jumping between buildings, maneuvering around objects and running across difficult, uneven terrain. The objective is to get from one place to another without injury. To give their robot the ability to conduct parkour maneuvers, the team made one change right away—they gave it four legs.

The next thing they did was design and build a special kind of controller, one that was capable of planning the route to be taken and a tracker that told the robot where to place its feet and how to use its body to move forward safely.