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What JPEG, MP3 and MPEG are for images, audio and video, haptic codecs are for transmitting the sense of touch via the internet.

By giving artificial intelligence simple associative learning rules based on the brain circuits that allow a sea slug to forage—and augmenting it with better episodic memory, like that of an octopus—scientists have built an AI that can navigate new environments, seek rewards, map landmarks and overcome obstacles.

As sub-symbolic AI, like deep learning, continues to advance, its limitations in safety and reliability are becoming more apparent. Verification and stability are crucial in safety-critical domains such as humanoid robotics, which is rapidly evolving into a versatile tool for various applications. However, proving the correctness of AI-based self-learning algorithms is challenging due to their uncertain inferences and opaque decision-making processes.

Electronics engineers and materials scientists have been trying to identify materials that could help to boost the performance of electronics further, overcoming the inherent limitations of silicon-based transistors. Two-dimensional (2D) semiconductors have advantageous properties that make them promising candidates for the development of better performing transistors.

Researchers at the Institute for Basic Science (IBS), South Korea, have developed an innovative dry transfer printing technique for flexible electronic devices. The study is published in Nature Materials.

With goals to limit CO2 emissions, many countries have set targets to phase out internal combustion vehicles in favor of electric vehicles (EVs). Japan has set a target for 20%–30% of all car sales to be battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), and 30%–40% of car sales to be hybrid electric vehicles (HEVs) by 2030.

Research on energy efficiency enhancement of a tortoise-inspired legged robot, by a research team led by Dongwon Yun, professor at the Department of Robotics and Mechatronics Engineering at DGIST, has been featured on the cover of Advanced Intelligent Systems.

Professor Kyung-In Jang's research team from the Department of Robotics and Mechatronics Engineering at DGIST has succeeded in developing a highly stable stretchable electronic device, which overcomes the mechanical limitations of conventional inorganic materials and enhances their stretchability and durability.

DGIST's Electrical Engineering and Computer Science Professor Jang Jae-eun and Professor Kwon Hyuk-jun and their research team have developed a high-efficiency process technology for next-generation AI memory transistors. The work is published online in Advanced Science.

An engineering research team led by Professor Yue Chen from the Department of Mechanical Engineering at the University of Hong Kong (HKU) has achieved a remarkable milestone in the realm of thermal transport in crystals.

China's Chang'e 6 is the first craft ever to collect soil and rock samples from the side of the moon that faces away from Earth into space.

The world of artificial intelligence (AI) has recently seen significant advancements in generative models, a type of machine-learning algorithm that "learns" patterns from sets of data in order to generate new, similar sets of data. Generative models are often used for things like drawing images and natural language generation—a famous example are the models used to develop chatGPT.

Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron Institute's Center for Computational Neuroscience (CCN) suggests that this decades-old approximation doesn't capture all the computational abilities that real neurons possess and that this older model is potentially holding back AI development.

A team headed by Prof. Stephan von Delft from the University of Münster has been looking at what effects different strategies for achieving a circular economy with lithium, cobalt and nickel for electric vehicles will have on the demand for materials in Europe. Their conclusion is that 11 mines and 57 fewer recycling plants could be needed.

Soft ground is composed of fine particles such as clay and silt. It is particularly prevalent in coastal areas. It can significantly impact the safety and stability of dams and structures, therefore necessitating techniques for enhancing safety, strength, and bearing capacity.

For the millions of fans who tune into every race, Formula One (F1) is more than just a sport—it's the apex of aerodynamics, skill and strategy.

The safety and efficiency of a large, complex nuclear reactor can be enhanced by hardware as simple as a tiny sensor that monitors a cooling system. That's why researchers at the Department of Energy's Oak Ridge National Laboratory are working to make those basic sensors more accurate by pairing them with electronics that can withstand the intense radiation inside a reactor.

"Can you name the truck with four-wheel drive, smells like a steak, and seats 35?"

A new device can measure carbon dioxide captured in concrete more simply and in a third of the time of current methods. Researchers at the University of Tokyo worked with engineers in industry to create the boxlike device called the "concrete thermal gravimetry and gas analyzer."

Researchers from the Skoltech Petroleum Center have presented new results that will improve the predictions of stress redistribution used in strength models of composite materials, which will result in fewer tests and costs needed for their production.