Artificial Intelligence and deep learning have made significant advancements in technology, enabling robots to perform tasks previously limited to human intelligence. Symbolic Regression in AI plays an important role in scientific research, focusing on algorithms that interpret complex patterns in datasets. The Φ-SO framework, a Physical Symbolic Optimization method, automates the process of finding analytic…

This article discusses the use of network analytics to analyze international trade data provided by UN Comtrade. The author highlights the importance of this approach in gaining insights into global trade patterns. For more information, read the full article on the Towards Data Science website.

OpenAI made headlines this week with a dramatic series of CEO appointments and firings. Sam Altman was initially removed as CEO, leading to a backlash from OpenAI staff. However, it seems that Altman will be reinstated as CEO under a new board. In other news, Microsoft expressed interest in attracting disgruntled OpenAI staff and released…

Purdue University researchers have introduced a novel approach using topological data analysis (TDA) to interpret complex prediction models, including machine learning and neural networks. They leveraged TDA to construct Reeb networks, providing a topological view that aids interpretation. The method was successfully applied to various domains and showcased its scalability across large datasets, with applications…

Microsoft Research and Tsinghua University researchers have introduced a new approach called Skeleton-of-Thought (SoT) to address the sluggish processing speed of Large Language Models (LLMs) like GPT-4 and LLaMA. SoT refrains from making extensive changes to the LLMs themselves and focuses on optimizing the organization of their output content. By prompting LLMs to construct a…

A new AI software can accurately analyze complex cuneiform texts using 3D models of the tablets, leading to more reliable results compared to previous methods. This enables researchers to compare and search through multiple tablets and opens up new avenues for research.

Nvidia researchers have developed Tied-LoRA, a technique that enhances the parameter efficiency of the Low-rank Adaptation (LoRA) method. By using weight tying and selective training, Tied-LoRA achieves an optimal balance between performance and trainable parameters. Experimental results show trade-offs between efficiency and performance, with a specific Tied-LoRA configuration achieving comparable performance with only 13% of…

Researchers have developed a new method called Drivable 3D Gaussian Avatars (D3GA) for rendering realistic human bodies. Using Gaussian splats instead of radiance fields, the method accurately represents human appearance and deformations. It eliminates the need for extensive pre-processing and achieves high-quality results without requiring ground truth geometry. The research outperforms current methods and reduces…

The Federal Trade Commission (FTC) has expanded its powers to investigate the AI industry. This includes the use of civil investigative demands (CIDs) to gather information relevant to the investigation. Non-compliance with CIDs can lead to legal consequences. The FTC is also focusing on algorithmic fairness and transparency in AI systems. FTC chair Lina Khan…

“The Book of Why” Chapters 3&4 are part of the Read with Me series and can be found on Towards Data Science.