Science News

Researchers from TMOS, the ARC Center of Excellence for Transformative Meta-Optical Systems, have made significant progress in their journey to deliver a new approach to night vision technology, creating an infrared filter that is thinner than a piece of cling wrap, and that could one day be placed on everyday eyewear, allowing the user to view the infrared and visible light spectrum at the same time.

Converting CO2 into fuel and chemicals using electricity, also known as electrochemical conversion of CO2, is a promising way to reduce emissions. This process allows us to use carbon captured from industries and the atmosphere and turn it into resources that we usually get from fossil fuels.

The capacity for wind and solar energy in the European Union increased by 65% from 2019 to 2023, with Germany making the largest contribution, according to an analysis by energy think tank Ember.

Let's say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.

A recent study in the field of chemistry demonstrates that maintaining distance can enhance battery performance in electric vehicles. In this study, a research team successfully developed a polymeric protective film that enables safe operation of the anode in sulfide-based all-solid-state batteries. Their research was published in the online edition of Advanced Functional Materials.

Can people feel through the sense of touch in the absence of a real tactile stimulation? In other words, can we feel the sensation of being touched when in reality we are not? This is what is known as "phantom sensation," which occurs when the nervous system perceives a tactile illusion that does not correspond to an authentic physical stimulus, that is, it does not exist.

Metal halide perovskites, a class of crystalline materials with remarkable optoelectronic properties, have proven to be promising candidates for the development of cost-effective thin-film transistors. Recent studies have successfully used these materials, particularly tin (Sn) halide perovskites, to fabricate p-type transistors with field-effect hole mobilities (μh) of over 70 cm2 V−1 s−1.

As China cements its status as the world's largest energy consumer, it has set ambitious targets for achieving carbon neutrality, pledging to peak carbon emissions by 2030 and attain carbon neutrality by 2060. The building sector, accounting for over 21% of the nation's total energy use, plays a crucial role in these efforts.

The rapid advancement of electronics and artificial intelligence (AI) tools have opened interesting opportunities for the development of technologies for a wide range of applications. These include implantable devices designed to support the treatment of medical conditions, monitor biological processes, or augment human abilities.

Most of the deepfakes (videos with fake hyper-realistic recreations) generated by artificial intelligence (AI) that spread through social media feature political representatives and artists and are often linked to current news cycles.

A study from Japan published in the International Journal of Computer Aided Engineering and Technology reveals a way to optimize the composition of functionally graded materials (FGMs). FGMs are advanced composite materials with a gradual variation in composition and properties across their volume, designed to optimize performance under specific loading conditions.

Teams of robots have the potential of tackling far more elaborate missions than individual robots, for instance, covering long distances faster, visiting different sites simultaneously, or monitoring larger geographical areas. Platforms that combine reliable hardware and software for multi-robot applications could help to advance research in this field, facilitating the testing of robot teams in specific real-world settings.

The ongoing transition from fossil fuels to renewable energy sources has never been more important as climate change and sustainability awareness continue to rise.

A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.

As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study from Chalmers University of Technology in Sweden shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.

The transition to electric cars is well underway. At the turn of the year, Denmark reached 200,000 registered electric cars, and last year electric cars accounted for 36% of all newly registered cars. However, the figure is quite different for electric trucks.

One of the promising alternatives to fossil fuels is methanol, in which the global shipping and logistics company Maersk, among others, is investing for its future fleet of container ships. However, there is a problem when it comes to methanol. Today, 99% of methanol production is based on coal and natural gas, and that's as far from green as it gets. DTU has contributed to developing a new method for producing biogas-based methanol.

In a study published in Cyborg Bionic Systems, researchers from Shanghai University have unveiled a new artificial intelligence framework that improves the way robots interpret and execute tasks. The "Correction and Planning with Memory Integration" (CPMI) framework leverages large language models (LLMs) to improve the efficiency and effectiveness of robots performing complex, instruction-based tasks.

Google said Friday it has made "more than a dozen technical improvements" to its artificial intelligence systems after its retooled search engine was found spitting out erroneous information.

Trust is vital to the widespread acceptance of AI across industries, especially when safety is a concern. For example, people may be hesitant to ride in a self-driving car knowing that the AI running it can be hacked. One barrier to increasing trust is that the algorithms powering AI are vulnerable to such attacks.