Although still in its infancy, the global market for sodium-ion batteries is expected to be worth over $11 billion by 2033.
Researchers achieved a major breakthrough by crafting nanoscrolls using Janus nanosheets.
Discover the future of nanotechnology as Tokyo scientists pioneer a method to roll atomically thin sheets into nanoscrolls.
Scientists have previously established that light can be slowed down in certain scenarios, and a new study demonstrates a method for achieving it that promises to be one of the most useful approaches yet.
The researchers behind the breakthrough, from Guangxi University and the Chinese Academy of Sciences in China, say that their method could benefit computing and optical communication.
Light zipping through the emptiness of space moves at one speed and one speed only — 299,792 kilometers (about 186,000 miles) per second. Yet if you throw a mess of electromagnetic fields into its path, such as those surrounding ordinary matter, that extraordinary velocity starts to slow.
Terahertz radiation has several advantages over other imaging modalities, such as X-rays and ultrasound. It is non-ionizing, meaning it does not damage the cells or tissues of the body. It is also sensitive to water, which makes it ideal for detecting skin cancers, as they tend to have different water content and blood supply than normal skin.
Professor MacPherson and her team at the Department of Physics are developing a screening device that uses terahertz frequencies to scan the skin and produce high-resolution images that can identify suspicious lesions. The device is portable, fast, and easy to use and could be deployed in clinics, hospitals, and pharmacies.
Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it.
Researchers achieve EV battery breakthrough with silicon-based materials and gel electrolytes, moving closer to a 1,000-kilometer range on a single charge.
The world’s tallest 3D-printed tower, set to be built in the Swiss Alps along the Julier mountain pass, started fabrication at ETH in Zurich this month.
Tor Alva, also known as the “White Tower,” is a pioneering innovation in the 3D printing industry illustrating a 30-meter tall building in Mulegns, Switzerland.
The White Tower project was led by Benjamin Dillenburger and launched in collaboration with Fundaziun Origen.
The recent breakthroughs in laser-based fusion have given a boost to a number of start-up companies—one of which has plans to replace the lasers with a high-speed projectile.
The first two-way control of a virtual object by study participants while lucid dreaming has been documented, according to the findings of a new research effort.
Researchers with REMspace, a California startup, report that five participants in the recent study were successfully able to control a virtual Cybertruck while lucid dreaming, and even avoid obstacles that appeared on a screen.
Multitasking While Dreaming
The Allen Institute for AI created the Open Language Model, or OLMo, which is an open-source large language model with the aim of advancing the science of language models through open research.
AI2 has partnered with organizations such as Surge AI and MosaicML for data and training code. These partnerships are crucial for providing the diverse datasets and sophisticated training methodologies that underpin OLMo’s capabilities. The collaboration with the Paul G. Allen School of Computer Science and Engineering at the University of Washington and Databricks Inc. has also been pivotal in realizing the OLMo project.
It is important to note that the current architecture of OLMo is not the same as the models that power chatbots or AI assistants, which use instruction-based models. However, that’s on the roadmap. According to AI2, there will be multiple enhancements made to the model in the future. In the coming months, there are plans to iterate on OLMo by introducing different model sizes, modalities, datasets, and capabilities into the OLMo family. This iterative process is aimed at continuously improving the model’s performance and utility for the research community.
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