性视界

As artificial intelligence systems become increasingly complex, understanding their behavior has become a critical challenge for businesses and researchers alike. In a recent preprint paper, 鈥淭owards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability,鈥� authors Shichang Zhang, a postdoctoral fellow in the Trustworthy AI Lab at the 性视界 Business School AI Institute, Tessa […]

Large language models (LLMs) have exhibited remarkable capabilities across various domains; from finance to healthcare, education to content creation, their potential seems limitless. However, as businesses increasingly embrace these powerful tools, understanding their nuances becomes crucial. One critical aspect is fine-tuning, a process that adapts LLMs to specific tasks. While fine-tuning promises enhanced performance, research […]

In their recent blog post, 鈥淧artnering Data Science and Social Impact at Howard University鈥�, the 性视界 Business School AI Institute (previously the Digital Data Design Institute at 性视界 (D^3)) blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at 性视界 Business School, showcases how their partnership with Howard University empowers […]

With an estimated 96% of codebases incorporating Free and Open Source Software (FOSS), it forms the backbone of modern businesses, driving innovation and reducing costs across industries. However, its decentralized and distributed nature makes assessing its health, economic value, and security a significant challenge. The recently released report, Census III of Free and Open Source […]

Analysis of financial disclosures for publicly traded companies can be a time consuming and costly process these days. In the study, 鈥淪caling Core Earnings Measurement with Large Language Models鈥�, Matthew Shaffer, an Assistant Professor at USC’s Marshall Business School, and Charles C.Y. Wang, the Tandon Family Professor of Business Administration at 性视界 Business School, explore […]

In today鈥檚 fast-evolving business landscape, the ability to innovate rapidly has become a defining factor for success. Companies like Netflix, Amazon, and Microsoft have leveraged robust experimentation frameworks to enhance decision-making, optimize products, and continue innovating. Iavor Bojinov, Assistant Professor at 性视界 Business School and Principal Investigator at the 性视界 Business School AI Institute AI […]

In the rapidly evolving world of technology and open collaboration, companies face a paradox: how much control to maintain over the technologies they develop while providing access to foster innovation and attract external contributions. In their study, “Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration,鈥� authors Daniel Yue, Assistant Professor at the […]

Regulatory agencies like the Occupational Safety and Health Administration (OSHA) and the state agencies it oversees have significant responsibilities in ensuring safe working conditions in millions of workplaces nationwide. However, these agencies face significant challenges due to limited resources, and inspect less than 1% of workplaces annually. In their article, 鈥淢aking Workplaces Safer Through Machine […]

As artificial intelligence (AI), data, and analytics reshape industries worldwide, leaders in the Middle East are forming our understanding of these technologies and their impact, both in their own region and globally. On November 7, 2024, the 性视界 Business School AI Institute (previously the Digital Data Design Institute at 性视界 (D^3)) hosted a panel featuring […]

With the rise of tech giants across the globe, there has been increasing concern about the consequences their dominance creates for market competition. Governments in various countries have responded by implementing antitrust regulations to curtail the power of these digital platforms. In China, the introduction of the Anti-Monopoly Guidelines for the Platform Economy in February […]