Science News

The visualization, produced on a NASA supercomputer, allows users to experience flight towards a supermassive black hole.

A team of roboticists at the Chinese University of Hong Kong has created a robot snail with a helmet-like shell that moves by rolling around on bulldozer-like tracks. They have published a paper on their research in Nature Communications.

We are living in a very noisy world. From the hum of traffic outside your window to the next-door neighbor's blaring TV to sounds from a co-worker's cubicle, unwanted noise remains a resounding problem.

Large language models (LLMs) are advanced AI-based dialogue systems that can answer user queries and generate convincing texts following human instructions. After the advent of ChatGPT, the highly performing model developed by OpenAI, these models have become increasingly popular, and more companies are now investing in their development.

A tornado destroyed homes and toppled trees and power lines when it roared through a small northeast Oklahoma city, one of several twisters that erupted in the central United States​ amid a series of powerful storms.

Tornadoes touched down Monday evening in rural Oklahoma as large hail pelted parts of Kansas.

Is it a “false solution” for climate change?

A new study has found that when people are presented with two answers to an ethical question, most will think the answer from artificial intelligence (AI) is better than the response from another person.

Seeking to improve the practicality of optical neural networks that use wavelength division multiplexing, a research team developed a structure called multiplexed neuron sets and a corresponding backpropagation training algorithm.

In sports training, practice is the key, but being able to emulate the techniques of professional athletes can take a player's performance to the next level. AI-based personalized sports coaching assistants can make this a reality by utilizing published datasets. With cameras and sensors strategically placed on the athlete's body, these systems can track everything, including joint movement patterns, muscle activation levels, and gaze movements.

Milk and cookies. Peanut butter and jelly. Macaroni and cheese. All delightfully perfect pairs. Researchers at the National Renewable Energy Laboratory (NREL) discovered another promising pair: marine energy and additive manufacturing.

In the ongoing quest to make electronic devices ever smaller and more energy efficient, researchers want to bring energy storage directly onto microchips, reducing the losses incurred when power is transported between various device components. To be effective, on-chip energy storage must be able to store a large amount of energy in a very small space and deliver it quickly when needed—requirements that can't be met with existing technologies.

The integration of microscale and macroscale simulations has long been a computational challenge in material science. Addressing this, researchers have developed AGAT, a machine learning model that efficiently predicts the behaviors of materials used in wearable electronics, particularly focusing on CNTs/PDMS composites.

Concept papers are due June 20th if you’re interested.

Find a dark sky and enjoy the show.

A 130-ton reusable liquid oxygen kerosene engine, developed by the Sixth Academy of the state-owned conglomerate and the nation's leading space contractor, the China Aerospace Science and Technology Corp (CASC), successfully completed two ground ignition tests on Saturday, marking new breakthroughs in propulsion technology, the Global Times has learned from the mission insiders over the weekend.

Electric vehicles are often seen as the panacea to cutting emissions—and air pollution—from transport.

Joining the ranks of Ghost in the Shell and Blade Runner.

Learn what an extinction level event (ELE) is and find out about the threats to life as we know it.

Research in the International Journal of Biometrics introduces a new method for assessing a practitioner's precision in martial arts training. The method focuses on quickly identifying errors in the athlete's movements and allowing their trainer to more precisely guide them to correct form.