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Thanks to recent advances in artificial intelligence (AI), civil engineers can inspect large-scale infrastructure more efficiently and cost-effectively, while also monitoring the progression of damage severity over time.

As computing technology advances, we have shifted from using large, single-chip processors to systems made up of smaller, specialized chips called "chiplets." These chiplets work together to boost processing power and efficiency.

Meta unveiled updates to the company's virtual reality headset and Ray Ban smart glasses on Wednesday along with AI advances as it tries demonstrate its artificial intelligence prowess and the next generation of computing platforms beyond smartphones and computers.

When Valery Levitas left Europe in 1999, he packed up a rotational diamond anvil cell and brought it to the United States. He and the researchers in his group are still using a much-advanced version of that pressing, twisting tool to squeeze and shear materials between two diamonds to see in situ, within the actual experiment, what happens and verify the researchers' own theoretical predictions.

A major advancement in structural adhesives for the automotive industry has been developed by researchers at Nagoya University. This next-generation adhesive promises to revolutionize material bonding by offering unprecedented impact strength—22 times higher than traditional epoxy-based adhesives that do not incorporate any rubbery additives.

Thermoelectric generators that can convert waste heat to clean energy could soon be as efficient as other renewable energy sources, like solar, according to a team led by Penn State scientists.

Finding a needle in a haystack is the quintessentially impossible task. But what if new tools could make it straightforwardly achievable? Imagine if, instead of searching through everything by hand, you could portion out small piles of hay and use magnets.

For years, Nevada has put affordable energy on the back burner. Now, ratepayers are getting burned.

The hype surrounding machine learning, a form of artificial intelligence, can make it seem like it is only a matter of time before such techniques are used to solve all scientific problems. While impressive claims are often made, those claims do not always hold up under scrutiny. Machine learning may be useful for solving some problems but falls short for others.

While engineers have developed increasingly advanced bio-inspired systems over the past decades, the sensing capabilities of these systems are typically far less advanced than those observed in humans and other animals.

Large expansion of carbon capture and storage is necessary to fulfill the Paris Climate Agreement. Yet a new study led by Chalmers University of Technology, in Sweden and University of Bergen, in Norway, shows that without major efforts, the technology will not expand fast enough to meet the 2°C target and even with major efforts, it is unlikely to expand fast enough for the 1.5°C target.

The lifeblood of any battery is the electrolyte. It is the medium through which positively charged elements (cations) migrate en masse between the positive and negative electrodes. By this means, batteries discharge to provide energy and charge to store energy. Scientists call this an electrochemical process.

Humans can grab a book from a shelf with little obvious thought. But it's a complex process for the brain that involves planning and navigating around obstacles, like other books or knickknacks. Robotics researchers have struggled to replicate this kind of human movement when their systems perform similar tasks. Known as motion planning, the process of training a robot to get an object from one point to another without hitting any obstacles takes time and resources because the robot can't react dynamically like humans in unknown environments.

Have you ever stood in front of apples on display at the grocery store trying to pick out the best ones and wondered, "Is there an app for this?"

Robots are widely used in the automotive industry and have started entering new application domains such as logistics in the last few years. However, current robots still face many limitations. They typically perform a single action or a fixed sequence of actions, repeating them the same way each time.

Scientists are concerned after seeing a large group of North Atlantic right whales​ off New York's Long Island.

The Fraunhofer Institute for Applied Optics and Precision Engineering IOF has been developing systems for the high-speed capture of 3D data for many years. With goCRASH3D, the Jena team is now presenting a new system that records 3D data during crash tests inside the test vehicle.

A team has developed a novel strategy for solid-state electrocatalysis in lithium-ion batteries (LIBs), transcending the paradigm confining electrocatalysis to liquid-solid and gas-solid interfaces. Their study is published in the Journal of the American Chemical Society.

The large language models that have increasingly taken over the tech world are not "cheap" in many ways. The most prominent LLMs, such as GPT-4, took some $100 million to build in the form of legal costs of accessing training data, computational power costs for what could be billions or trillions of parameters, the energy and water needed to fuel computation, and the many coders developing the training algorithms that must run cycle after cycle so the machine will "learn."

Japanese scientists have used artificial intelligence to uncover 303 new etchings in Peru's Nazca desert—doubling the amount of known geoglyphs made some 2,000 years ago by a pre-Inca civilization.