“This is Frame, a reinvention of eyewear for the AI era,” says Brilliant Labs.
Brilliant Labs has become the latest company to introduce a pair of smart glasses called Frame.
“This is Frame, a reinvention of eyewear for the AI era,” says Brilliant Labs.
Brilliant Labs has become the latest company to introduce a pair of smart glasses called Frame.
Generative AI has emerged as the next wave of innovation amidst the ongoing evolution of the technological landscape, attracting the attention of both researchers and investors.
Even as vector databases and Retrieval-Augmented Generation models become mainstream, offering innovative ways to handle and process data, traditional ETL processes retain their importance in the data management ecosystem. Traditional ETL is fundamental for preparing and structuring data from diverse sources into a coherent, standardized format, making it accessible and usable for various applications. This structured data is crucial for maintaining the accuracy and reliability of information within vector databases, which excel at handling similarity searches and complex queries by converting data into vector space.
Similarly, RAG models, which leverage vast databases to augment content generation with relevant information retrieval, depend on well-organized, high-quality data to enhance their output’s relevance and accuracy. By ensuring data is accurately extracted, cleaned and loaded into databases, traditional ETL processes complement the capabilities of vector databases and RAG models, providing a solid foundation of quality data that enhances their performance and utility. This symbiotic relationship underscores the continuing value of traditional ETL in the age of AI-driven data management, ensuring that advancements in data processing technologies are grounded in reliable and well-structured data sources.
The rise of generative AI has indeed shifted the technological focus, overshadowing some of the core technologies that have been instrumental in our digital progress.
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.
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.