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Category: innovation – Page 54

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.

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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.

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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

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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.

OLMo’s open and transparent approach, along with its advanced capabilities and commitment to continuous improvement, make it a major milestone in the evolution of LLMs.

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In Lewis Carroll’s Through the Looking-Glass, the Red Queen tells Alice, “It takes all the running you can do, to keep in the same place.” The race between innovation and obsolescence is like this.

Recent evidence about the slowing of technological and scientific progress in contrast to the accelerating epidemiological risks in a globalized world—in the opposite direction—indicates the importance of the relative rates of and obsolescence.

When does innovation outpace, or fail to outpace, obsolescence? Understanding this dynamic is nascent, and the way that innovation is discussed is largely fragmented across fields. Despite some qualitative efforts to bridge this gap, insights are rarely transferred.

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