GraphCast: AI model for faster and more accurate global weather forecasting

Importance of Image-Text Datasets Web-crawled image-text datasets are essential for training vision-language models. They help improve tasks like image captioning and visual question answering. However, these datasets often contain noise and low-quality associations between images and…

Researchers propose three measures to increase visibility into AI agents for safer functioning: agent identifiers, real-time monitoring, and activity logs. They identify potential risks, including malicious use, overreliance, delayed impacts, multi-agent risks, and sub-agents. The paper…

A growing interest exists in technology that can convert textual descriptions into lifelike videos by animating images. Existing methods focus on generating static images and subsequently animating them, but may require improvement for quality and consistency,…

Welsh police used facial recognition technology to scan Beyoncé concertgoers in Cardiff in May this year, aiming to find matches to a watch list of suspected terrorists and pedophiles. The use of facial recognition at events…

LLVC (Low-latency, Low-resource Voice Conversion) is a real-time voice conversion model introduced by Koe AI. It operates efficiently on consumer CPUs, achieving sub-20ms latency at a 16kHz bitrate. LLVC utilizes a generative adversarial structure and knowledge…

Practical Solutions and Value Reinforcement Learning from Human Feedback (RLHF) Challenges RLHF encourages high rewards but faces issues like limited fine-tuning, imperfect reward models, and reduced output variety. Model Merging and Weight Averaging (WA) Weight averaging…

Understanding Similarity in Information Processing To find out if two systems—biological or artificial—process information in the same way, we use various similarity measures. These include: Linear Regression Centered Kernel Alignment (CKA) Normalized Bures Similarity (NBS) Angular…

PromptBreeder is a new technique developed by Google DeepMind researchers that autonomously evolves prompts for Large Language Models (LLMs). It aims to improve the performance of LLMs across various tasks and domains by iteratively improving both…

Based is a groundbreaking language model introduced by researchers from Stanford University, University at Buffalo, and Purdue University. It integrates linear and sliding window attention to balance recall and efficiency in processing vast amounts of information.…

This article discusses the potential of using hexagon maps for data analysis. Hexagon maps provide a balanced geometry for better regional comparisons and improved territorial coverage. The article provides a step-by-step explanation of how to create…

Google Sheets has introduced a new feature called “Smart Fill” that uses AI technology to automate data entry and processing tasks. Smart Fill can detect relationships between columns and predict the values users want to enter,…

The Value of Data Engineering Skills Data engineering is essential for organizations to efficiently manage and extract value from large volumes of data, enabling them to stay competitive and innovative in their industries. Top Data Engineering…

Dr. Sue Desmond-Hellmann, Nicole Seligman, and Fidji Simo have joined the board, while Sam Altman has rejoined.

Causal reasoning is crucial for human intelligence, enhancing scientific reasoning and decision-making. Researchers have introduced CLADDER, a dataset to test formal causal reasoning in language models. This comprehensive dataset covers diverse causal queries, designed to evaluate…

Implementing Small Language Models (SLMs) with RAG on Embedded Devices Leading to Cost Reduction, Data Privacy, and Offline Use In today’s rapidly evolving generative AI world, keeping pace requires more than embracing cutting-edge technology. At deepsense.ai,…