Technology News

Dynamical systems describe the evolution of natural phenomena over time and space through mathematical frameworks, often using differential equations. Accurate predictions in these systems are crucial for various applications, yet traditional methods face challenges due to rigidity and complex dynamic behaviors.

When electronic devices like laptops or smartphones overheat, they are fundamentally suffering from a nanoscale heat transfer problem. Pinpointing the source of that problem can be like trying to find a needle in a haystack.

Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots.

A team of Johns Hopkins researchers is reframing the discussion around autonomous vehicles. Though public trust in this technology has faltered due to high-profile testing accidents, researchers hope to rebuild public support for AVs by redirecting attention to their potential to improve social equity and help underserved communities.

Researchers have developed soft, stretchable 'jelly batteries' that could be used for wearable devices or soft robotics, or even implanted in the brain to deliver drugs or treat conditions such as epilepsy.

In an era when the creation of artificial intelligence (AI) images is at the fingertips of the masses, the ability to detect fake pictures—particularly deepfakes of people—is becoming increasingly important.

When everything shakes, precision is usually impossible—everybody who has ever tried to take a photo with shaky hands or make handwritten notes on a bumpy bus journey knows that. With technical precision measurements, even much smaller vibrations are a major problem, for example, with high-performance microscopes or precisely aligned telescope mirrors. Even the smallest vibrations, which are not even perceptible to humans, can render the measurement result unusable.

Accurate Global Navigation Satellite System (GNSS) positioning is essential for various applications, but traditional methods like Full Ambiguity Resolution (FAR) and Partial Ambiguity Resolution (PAR) have limitations in precision and speed. These techniques often require extended convergence times and can introduce errors due to noisy observations or biased models.

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.

A research team affiliated with UNIST has made a discovery in developing a novel technology that produces high-efficiency hydrogen using hematite (α-Fe2O3), a form of iron oxide (Fe2O3), which has been exposed to oxygen and water.

A major obstacle for net zero technologies in combating climate change is bridging the gap between fundamental research and its application in the real world.

Prime Day's AirTag deals have seen stockouts, but the single pack is available for $23.99. Or bring the average price per AirTag down with a discount on the 4-pack.

Indian tech companies on Wednesday slammed a proposal to reserve more than half of all private jobs for local hires in Bengaluru, a city that has powered the country's growth into an IT powerhouse.

Five years after Amazon committed to an ambitious climate goal, the company says it is making progress on reducing emissions—but critics allege those calculations are misleading.

When you think of a battery, you probably don't think of stretchy material. But batteries will need this shape-shifting quality to be incorporated into flexible electronics, which are gaining traction for wearable health monitors. Now, researchers in ACS Energy Letters report a lithium-ion battery with entirely stretchable components, including an electrolyte layer that can expand by 5,000%, and it retains its charge storage capacity after nearly 70 charge/discharge cycles.

TikTok lost an appeal Wednesday to escape new digital rules that seek to rein in the power of big tech after an EU court rejected its challenge.

Tokyo's Haneda Airport is trialing a driverless vehicle to tow cargo containers in an attempt to get around labor shortages as the number of tourists flying into Japan soars.

The world's biggest technology firms are investing billions in cloud storage facilities in the northeastern Spanish region of Aragon, drawn to its abundance of renewable energy sources.

Social media offers a treasure trove of data for researchers to understand how organizations and individuals use the technology to communicate with and grow their base of followers. However, manually analyzing the content can be time consuming or, in some cases, simply impossible due to the volume of data. While machine-learning models can help, they present their own set of challenges.

A novel machine learning framework developed by IIASA researchers to estimate global rooftop area growth from 2020 to 2050 can aid in planning sustainable energy systems, urban development, and climate change mitigation, and has potential for significant benefits in emerging economies.