SPIRITUAL AI

Google Opens Gemma Artificial Intelligence Model to the General Public Gemma is a family of light and sophisticated open models (photo: x @sundarpichai)  - Google has launched a series of open artificial intelligence (AI) models known as Gemma. Developed by Google DeepMind and other teams at Google, Gemma is a family of lightweight and advanced open models, inspired by previous Gemini models. Gemma, which comes from the Latin word meaning “gemstone,” is designed to help developers and researchers build AI responsibly.  The Gemma model comes in two sizes: Gemma 2B and Gemma 7B, each equipped with pre-trained and customized variations according to instructions. To ensure responsible use, Google is also providing a new Responsible Generative AI Toolkit. This toolkit provides essential guidance and tools for creating safer AI applications with Gemma.  One of the key features of the Gemma launch is the availability of toolchains for inference and supervised fine-tuning (

5 Positive and Negative Impacts of Artificial Intelligence that You Need to Know - Artificial Intelligence (AI) technology is starting to be widely used by users in general to help carry out various tasks. Currently, there are many AI programs that users can access easily.  Some examples of AI programs that have become popular recently include ChatGPT, Bing AI, Dall-E, Midjourney, and Perplexity. All artificial intelligence programs can be accessed by all users easily.  Users can take advantage of these AI programs to help complete various tasks more efficiently. On the other hand, even though it has positive impacts that can help users, AI also has negative impacts.  In an effort to adapt to this technology, it is important for users to know the positive and negative impacts of AI. By knowing the positive and negative impacts of AI, users can use it appropriately.  Therefore, this article will explain some of the positive and negative impacts of AI. So, what are the positi

"Researcher Uses Artificial Intelligence to Discover New Materials for Advanced Computing" —Undefined Trio In a significant breakthrough for materials science, a team of researchers led by Trevor David Rhone, an assistant professor at Rensselaer Polytechnic Institute, has leveraged the power of artificial intelligence (AI) to identify novel van der Waals (vdW) magnets. Through the application of cutting-edge AI tools and techniques, the team has discovered transition metal halide vdW materials with large magnetic moments that exhibit promising stability, opening up exciting possibilities for data storage, spintronics, and quantum computing. The team's research, featured on the cover of Advanced Theory and Simulations, showcases the remarkable potential of materials informatics in advancing scientific discovery. The emergence of two-dimensional (2D) materials has captivated researchers since their discovery in 2004. These materials, which can be as thin as a si