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Researchers at the University of Adelaide believe the global investment being made in smart metering infrastructure could fall short of fulfilling promised benefits to customers if key systems issues are not addressed.

Thermometers are an under-appreciated marvel of human ingenuity built upon an understanding of relatively simple physical principles. Mercury and alcohol thermometers rely on the volume of liquids growing or shrinking in reaction to temperature change. Contactless infrared thermometers, by contrast, read the thermal radiation emitted by any object, from frying pans to the human body.

A group led by researchers at Nagoya University in Japan has created a material based on fullerene indanones (FIDO), which promises to improve the durability of next-generation solar cells. Durability has been one of the biggest hurdles in their practical application and commercialization. The researchers published their findings in the Journal of the American Chemical Society.

Researchers have made significant progress in the development of artificial neural networks using tiny silicon devices called microresonators, paving the way for faster and more energy-efficient artificial intelligence systems. These networks mimic the computing capabilities of the human brain, breaking away from traditional digital computer architectures and leveraging the speed, low power dissipation and multi-wavelength capabilities of photonics.

A new class of metallic materials with potential applications in airplane turbines, nuclear reactors and equipment for space exploration can withstand extreme temperatures and resist fractures, but scientists haven't understood why until now.

The county expects its population to double in the days leading up to and after the eclipse.

People across the eastern U.S. and in parts of Canada saw a dazzling light show on Wednesday night, as a fireball entered the atmosphere and burned up.

In 2014, hundreds of Angelenos gathered downtown to watch more than 2,000 trucks pour concrete into a vast hole. During that event, Los Angeles set a world record: 80 million pounds of concrete were laid down over 18 straight hours to form the foundation for the Wilshire Grand Center, which now towers 73 stories over the city.

AI models are revolutionizing weather forecasts.

Recently, professors Risheng Liu from Dalian University of Technology and Zhouchen Lin from Peking University collaborated on an opinion article published in the National Science Review (NSR). Their article delves deeply into AutoML from the perspective of bilevel optimization, achieving unified modeling of various AutoML tasks while exploring challenges and opportunities. This article will be included in the NSR's special topic on "Automating Machine Learning."

SnO2 has been widely used as electron transport layers (ETLs) for efficient perovskite solar cells (PSCs) due to its high transparency, high electron mobility, and favorable band alignment. PSCs based on chemical bath deposition (CBD)-prepared SnO2 have demonstrated the best performance so far.

Researchers from Carnegie Mellon University, the University Hospital Bonn and the University of Bonn have created an open-source platform known as A-SOiD that can learn and predict user-defined behaviors, just from video. The results of the study have now been published in the journal Nature Methods.

Development of embedded electronic systems for future mobility, be it self-driving cars or autonomous air taxis, depends on complex processing and application services. To better manage this challenge, eight European partners have developed an automated toolchain within the XANDAR collaboration coordinated by Karlsruhe Institute of Technology (KIT).

Researchers from Fujitsu and QuTech have developed new and ultra-cold electronic circuits to control diamond-based quantum bits. As a result of their joint research project, it becomes possible to build larger quantum computers, through overcoming the "wiring bottleneck," while maintaining high-quality performance.

Though artificial intelligence decreases human error in experimentation, human experts outperform AI when identifying causation or working with small data sets.

Despite significant progress in developing AI systems that can understand the physical world like humans do, researchers have struggled with modeling a certain aspect of our visual system: the perception of light.

Imagine you're driving to work on a rainy day, when a distracted, reckless driver hits your car out of nowhere. With a "boom," an air bag deploys faster than you can blink your eyes to save your life.

Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.

A global team of researchers and industry collaborators led by RMIT University has invented recyclable 'water batteries' that won't catch fire or explode.

Artificial intelligence is pivotal in advancing biotechnology and medical procedures, ranging from cancer diagnostics to the creation of new antibiotics. However, the ecological footprint of large-scale AI systems is substantial. For instance, training extensive language models like ChatGPT-3 requires several gigawatt-hours of energy—enough to power an average nuclear power plant at full capacity for several hours.