Time Series Prediction with Transformers

Google Cloud released its cybersecurity forecast for 2024, highlighting the top threat from AI. Language models will make phishing emails and SMS messages harder to spot as scammers use them to translate and polish their pitches.…

Yuga Labs has partnered with NFT marketplace Magic Eden to launch a new Ethereum-based platform that will honor creator royalties. The marketplace will use innovative smart contracts and the ERC-721 token standard to ensure artists receive…

A group of researchers led by Prof. Qu Kun has developed SPACEL, a deep-learning toolkit consisting of Spoint, Splane, and Scube modules, to overcome limitations in spatial transcriptomics analysis. By accurately predicting cell types, identifying spatial…

Social Network Generation with AI Practical Solutions and Value Social network generation has diverse applications in epidemic modeling, social media simulations, and understanding social phenomena like polarization. Realistic social networks are crucial for accurate modeling and…

Researchers address the diagnostic complexity and therapeutic challenges of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) through the application of artificial intelligence (AI). Their study explores the potential of AI to reclassify cHCC-CCA tumors as either pure hepatocellular carcinoma (HCC)…

The Value of Automating Data Extraction in Academic Research Challenges in Academic Research The increasing number of academic papers poses challenges for researchers to track the latest innovations. Manual data extraction from tables and figures is…

Challenges Faced by GUI Agents in Professional Environments GUI agents encounter three main challenges in professional settings: Complex Applications: Professional software is more intricate than general-use applications, requiring a deep understanding of complex layouts. High Resolution:…

The CMMMU benchmark has been introduced to bridge the gap between powerful Large Multimodal Models (LMMs) and expert-level artificial intelligence in tasks involving complex perception and reasoning with domain-specific knowledge. It comprises 12,000 Chinese multimodal questions…

The text is about leveraging AI in customer support for multilingual semantic search, advanced translation models, and RAG systems for enhanced communication in global markets. It covers mBART for machine translation, XLM-RoBERTa for language detection, and…

Introducing our latest music generation model and two innovative AI experiments, expanding creative possibilities.

Challenges in Using Open Datasets for AI Training Large language models (LLMs) need open datasets for training, but this comes with serious legal, technical, and ethical issues. The use of data can be complicated due to…

The Value of Spice.ai for Cloud Applications Practical Solutions for Speed and Efficiency The demand for speed and efficiency in cloud applications is met by Spice.ai, which brings data closer to the application to eliminate high…

Transforming AI with Dolphin 3.0 Artificial intelligence is changing the way we work and live, but challenges still exist. Many AI systems depend on cloud services, leading to privacy concerns and limited user control. Customizing AI…

Practical Solutions and Value of Small Language Models (SLMs) in the Age of Large Language Models (LLMs) Overview Large Language Models (LLMs) have transformed natural language processing, but their size brings challenges. Smaller Language Models (SLMs)…

Transforming Speech Recognition with Universal-2 Introduction to ASR Technology In recent years, Automatic Speech Recognition (ASR) technology has become essential in various industries, including healthcare and customer support. However, accurately transcribing speech in different languages, accents,…

The NEFTune method is proposed as a way to improve the performance of language models on instruction-based tasks. By adding random noise to the embedding vectors during fine-tuning, the model’s performance is significantly enhanced without needing…

Understanding Retrieval Augmented Generation (RAG) Retrieval Augmented Generation (RAG) is a powerful tool designed to enhance knowledge-based tasks. It improves output quality and reduces errors, but it can still struggle with complex queries. To tackle this,…