MATHVISTA is a benchmark to assess the mathematical reasoning abilities of Large Language Models and Large Multimodal Models within visual contexts. It combines various mathematical and graphical tasks and includes existing and new datasets. The benchmark reveals a performance gap compared to humans and emphasizes the need for further advancement in AI agents with mathematical…

YouTube Music has launched a new feature that allows users to create personalized playlist cover art using generative AI technology. Users can select a theme and specific request, and YouTube’s AI system generates a selection of images to choose from. This feature is currently available to English-language users in the United States but will expand…

Progressive Conditional Diffusion Models (PCDMs) have been introduced by Tencent AI Lab to address the challenges in pose-guided person image synthesis. PCDMs consist of three stages: predicting global features, establishing dense correspondences, and refining images. The method effectively aligns source and target images at multiple levels, producing high-quality and realistic results. It also demonstrates improved…

This article discusses three key questions for junior data scientists to consider when thinking about their future careers. The first question is whether they want to be an individual contributor, a manager, or a combination of both. The second question is whether they want to specialize in areas like machine learning, decision science, or analytics…

Researchers from JPMorgan Chase & Co. conducted an experiment using OpenAI’s GPT-4 model to determine if it could pass the CFA exam. They found that ChatGPT would likely not be able to pass the CFA Levels I and II, while GPT-4 had a decent chance with appropriate prompting. Both models faced challenges with Level II.…

On day two of the AI Safety Summit, UK Prime Minister Rishi Sunak announced that industry leaders such as Meta, Google Deep Mind, and OpenAI have agreed to allow government evaluation of their AI tools before market launch. The summit also established the AI Safety Institute and unveiled a forthcoming “state of AI science” report…

Large language models (LLMs) are being used more frequently as conversational systems, leading to increased reliance on them for answers. To understand how these models respond to questions about ongoing debates, we need datasets with human-annotated labels reflecting contemporary discussions. To address this, we propose a new way of creating a dataset for controversial questions.

Stanford University researchers have introduced EquivAct, a visuomotor policy learning approach that enables robots to generalize tasks across different scales and orientations. The proposed method incorporates equivariance into the visual object representation and policy architecture to ensure robustness across variations in object placements, orientations, and sizes. By using SIM(3)-equivariant network architectures, the learnt policy can…