ASEAN takes a business-friendly approach to AI regulation

Online surveys are an essential tool for businesses to collect customer feedback, with around 90% of companies using them. This article discusses the top three competitors of Qualtrics, a popular survey tool, in 2023.

A novel methodology called Q-ALIGN, developed by researchers from Nanyang Technological University, Shanghai Jiao Tong University, and SenseTime Research, marks a paradigm shift in visual content assessment. It uses text-defined rating levels to train Large Multi-Modality…

The text provides a tutorial on creating slopegraph visualizations to analyze technological trend shifts, focusing on the resurgence of interest in virtual reality and generative AI. It introduces Google Trends for market research and content planning…

Reinforcement learning encompasses model-based (MB) and model-free (MF) algorithms. The Diffusion World Model (DWM) is a novel approach addressing inaccuracies in world modeling. DWM predicts long-horizon outcomes and enhances RL performance. By combining MB and MF…

Artificial Intelligence Advancements Artificial intelligence (AI) has significantly improved in developing language models that can tackle complex problems. However, using these models for real-world scientific challenges is still challenging. Many AI agents find it hard to…

The Nordic AI Summit in Oslo will showcase how Norwegian business leaders utilize AI for company transformation. The event includes expert talks, such as by Simplifai’s Erik Leung, and discussions on practical AI applications, aiming to…

Practical Solutions and Value of Cross Language Agent – Simultaneous Interpretation (CLASI) Overcoming SiST Challenges CLASI addresses challenges in simultaneous speech translation (SiST) by emulating human interpreter approaches, integrating speech context and external knowledge, mitigating noise,…

Advancements in Language Modeling Recent developments in language modeling have improved natural language processing, allowing for the creation of coherent and contextually relevant text for various uses. Autoregressive (AR) models, which generate text sequentially from left…

The article discusses Retrieval-Augmented Generation (RAG), which is a concept that provides additional information from an external knowledge source to large language models (LLMs). The article explains the problem of factual inaccuracies that can occur when…

Understanding the Challenges of Large Language Models (LLMs) Large language models (LLMs) are powerful but face challenges like: Hallucinations: LLMs can produce incorrect information. Reasoning Errors: They struggle with complex tasks due to knowledge gaps. Introducing…

Researchers from UC Berkeley, Toyota Technological Institute at Chicago, ShanghaiTech University, and other institutions propose a new deep network design called CRATE, which stands for “coding-rate” transformer. CRATE aims to bridge the gap between theory and…

The Future of Language Models: UltraMem Revolutionizing Efficiency in AI Large Language Models (LLMs) have transformed natural language processing but are often held back by high computational requirements. Although boosting model size enhances performance, it can…

Understanding Generative Diffusion Models Key Innovations in Image and Video Generation Generative diffusion models are transforming how we create images and videos, forming the backbone of advanced generative software today. However, they struggle with memorizing training…

Practical AI Solutions for Your Business Google AI Introduces PaliGemma: A New Family of Vision Language Models Google has launched PaliGemma, a powerful vision language model that understands both text and visual information. It consists of…

Practical Solutions and Value of ChatQA 2: A Llama3-based Model Enhanced Long-Context Understanding and RAG Capabilities Long-context understanding and retrieval-augmented generation (RAG) in large language models (LLMs) are crucial for tasks such as document summarization, conversational…

Understanding AI in Video Processing Efficiently handling video sequences with AI is crucial for accurate analysis. Current challenges arise from models that fail to process videos as continuous flows, leading to missed motion details and disruptions…

Scientists have discovered that by imposing physical constraints on artificial intelligence systems, similar to how the human brain functions within physical and biological limits, these systems can develop characteristics found in the brains of complex organisms,…