New MIT AI Tool Revolutionizes Tabular Data Analysis (5 Ways)

Ahead of the Samsung Galaxy Unpacked event on July 10, all eyes are on the updates Samsung will introduce to its Galaxy AI suite. With recent major announcements from Google (with its Gemini model) and Apple (with Apple Intelligence), Samsung faces a challenge to differentiate itself. Reports indicate that Samsung might extend its Live Translate feature to third-party apps like WhatsApp.

Earlier this month, Samsung also announced that Galaxy AI would remain free on supported Galaxy devices until the end of 2025. Additionally, Samsung is expected to reveal the Galaxy Ring wearable and the next generation of its Fold and Flip devices at the event.

Earlier this month, Meta introduced a new AI system capable of generating high-quality 3D assets from text prompts in under 60 seconds. Detailed in a research paper, Meta’s 3DGen system comprises two components: Meta 3D AssetGen and Meta 3D TextureGen, designed for text-to-3D and text-to-texture generation, respectively. According to the research paper, 3DGen ensures high prompt fidelity and produces high-quality 3D shapes and textures swiftly, supporting physically based rendering. This new AI system could be highly beneficial for video game development and augmented reality and virtual reality applications.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a new generative AI tool designed to simplify the analysis of tabular data.

As reported in an MIT news release, the GenSQL tool assists users in making predictions, detecting anomalies, estimating missing values, correcting errors, and generating synthetic data with minimal effort. Built on SQL (Structured Query Language), a programming language introduced in 1974 for data management, GenSQL has been found to be faster and more accurate than other AI-based tools for data analysis, according to the news release.