Generative AI, in the past few years, has gained significant popularity because of its capacity to develop realistic text and images. However, the created text and images form only a portion of the data generated today. Every interaction we have with a medical system, software application, or the effect of any environment, such as a…
In a unique twist, a picture taken in real life clinched a victory in the Artificial Intelligence (AI) category of a global photography contest. The shot, taken by writer and photographer Miles Astray on a beach in Aruba in 2022, showcases a flamingo coyly hiding its head behind its body. This photograph was submitted as…
Apple's Worldwide Developers Conference (WWDC) revealed an exciting new product: the Vision Pro, a virtual reality headset. The device was lauded by Apple aficionados but met with skepticism by others, largely due to its price. The Vision Pro is listed at US$3,499, or $5,300 Australian dollars. To reckon the investment, here's what else you could…
Google's showcase at its recent I/O conference saw a fresh emphasis on its Search Generative Experience (SGE), an initiative to embed generative artificial intelligence (AI) into Google Search. The goal of SGE is to provide AI-generated answers to over a billion users by 2024, utilizing Google’s large language models Gemini to produce human-like responses to…
University of Waterloo researchers have introduced GenAI-Arena, a user-centric evaluation platform for generative AI models, filling a critical gap in fair and efficient automatic assessment methods. Traditional metrics like FID, CLIP, FVD provide insights into visual content generation but may not sufficiently evaluate user satisfaction and aesthetic qualities of generated outputs. GenAI-Arena allows users not…
Large Generative Models (LGMs) such as GPT, Stable Diffusion, Sora, and Suno have significantly advanced content creation, improving the effectiveness of real-world applications. Unlike preceding models that trained on small, specialized datasets, LGMs gain their success from extensive training on broad, well-curated data from various sectors. This leads to a question: Can we create large…
CodeParrot AI, a startup offering AI-powered tools, aims to make the coding process more manageable for designers and developers. Its main function is to simplify the building of web parts by transforming Figma design into code components for React, Vue, and Angular. This streamlining tool automates the frontend work, ultimately making coding more efficient and…
Large language models (LLMs) like GPT-3 require substantial computational resources for their deployment, making it challenging to use them on resource-constrained devices. Strategies to boost the efficiency of LLMs like pruning, quantization, and attention optimization have been developed, but these can often lead to decreased accuracy or continue to rely heavily on energy-consuming multiplication operations.…