Materials science, nanotech, and engineering systems.
Apple has discounted the latest AirPods Pro model by $50, making the wireless earbuds more affordable for those looking to upgrade their audio experience with advanced features.
Researchers have developed a navigation system for autonomous wheelchairs that is designed to be socially aware, reducing the cognitive burden for users with mobility impairments and improving their ability to move around public spaces.
Satellites in low Earth orbit may enable new global wireless networks, but require careful modeling and design to handle the complexity of large satellite constellations and ensure reliable connections.
Researchers developed a new approach to measure errors in quantum systems that can tolerate qubit losses, which is important for building reliable quantum computers.
Researchers have developed new web-based video editing tools that let people do professional-quality video editing right in their browsers, without needing to install any software. This could make advanced video editing more accessible to a wider audience.
Researchers found a new way to precisely control the magnetic properties of an ultra-thin material, which could improve the performance of future spin-based electronic devices.
Researchers developed a machine learning model that can quickly predict the flow properties of porous materials like rocks, which is important for understanding underground oil and gas reserves.
Researchers developed a new machine learning technique to better understand materials at the atomic level. This could lead to improved designs for energy storage, electronics and other applications that rely on advanced materials.
Humanoid robots still struggle with simple everyday tasks, highlighting the need to refine the underlying engineering before widespread real-world deployment becomes feasible.
Researchers developed a new algorithm to help manage changing project schedules and resource constraints more efficiently. This could improve how organizations plan and adapt large, complex projects.
A new report found the U.S. faces a significant shortage of skilled engineers and technical workers, which could limit the country's ability to innovate and advance technology.
Activated solids can spontaneously deform and soften in unexpected ways, which could impact how we design and use materials like plastics and rubbers.
A former lowly TV repairman became an expert in the obscure field of electromagnetic compatibility, showcasing how determination and self-education can lead to unexpected career success.
Researchers compared two equations for predicting the heating of cancer cells by magnetic nanoparticles, a potential targeted cancer treatment. This could help improve the accuracy and effectiveness of this promising therapy.
Invisalign started using 3D printers to mass-produce clear braces, making the technology more accessible and affordable for people wanting to straighten their teeth.
United Airlines now allows kicking off passengers who refuse to use headphones, providing more control over cabin noise.
Archaeologists discovered the first evidence of four-wheeled wagons used in Britain during the Iron Age, providing insights into early transportation and trade networks.
Researchers discovered that adding non-magnetic impurities to a superconductor material could help induce a rare quantum critical point, which has potential applications for quantum computing.
Researchers discovered a new material that can absorb and hold onto light energy for a long time, which could lead to more efficient solar cells and other energy technologies.
Researchers developed a new machine learning technique to better understand materials at the atomic level. This could lead to improved designs for energy storage, electronics and other applications that rely on advanced materials.
Researchers developed a system called TrajBooster that allows robots to quickly learn new manipulation tasks, even with limited training data. This could make humanoid robots more versatile and useful in real-world environments.
A new method called OCP improves how recommendation systems for industrial commodities represent items, making the systems more scalable and able to generalize better.
Researchers developed a new approach to measure errors in quantum systems that can tolerate qubit losses, which is important for building reliable quantum computers.
Researchers developed a new theory to explain how magnetic materials like single-molecule magnets can store information by controlling their spin-phonon interactions, which could lead to improvements in quantum computing and data storage.
Researchers created a robot assembly system that uses touch sensors to make precise adjustments when visual feedback is blocked, enabling more reliable and accurate assembly of complex products.
Researchers developed a neural network model that can predict how nuclear reactor materials like steel will withstand wear and tear over time, which helps ensure reactor safety and longevity.
Researchers developed a new algorithm that helps robots coordinate tasks and movement more efficiently. This could enable better real-world robotic applications like self-driving cars or factory robots working together.
Mobile robots can now handle complex manipulation tasks, but doing so requires significant computing power that may overload their systems. This could impact how robots are deployed in real-world settings.
Researchers created a dataset of real-world scenes to help develop advanced legged robots that can navigate complex environments and perceive their surroundings, a key step towards deploying autonomous robots in the real world.
Researchers made solar cells more efficient by improving how they capture and manage light and electrical charges. This could lead to cheaper, more accessible solar power for homes and businesses.
Researchers found a new way to precisely control the magnetic properties of an ultra-thin material, which could improve the performance of future spin-based electronic devices.
Researchers developed a new machine learning model to better predict wind farm power output, which could help make renewable energy more reliable and affordable for people.
Researchers developed a machine learning model that can quickly predict the flow properties of porous materials like rocks, which is important for understanding underground oil and gas reserves.
Researchers have identified that the interaction between magnetic fields and materials' atomic vibrations can create unusual heat transport effects, which could lead to new energy-efficient technologies.
Researchers have developed a new computer simulation tool that can model complex physical events like shockwaves more accurately. This can help scientists better understand phenomena like asteroid impacts or explosions.