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Blazing fast bulk data transfers between any cloud

Paras Jain and Sarah Wooders on Skyplane, an inter-cloud broker for data-intensive applications.

Exhaustion of High-Quality Data Could Slow Down AI Progress in Coming Decades

Pablo Villalobos on lack of data and other bottlenecks for scaling machine learning models.

Generating high-fidelity and privacy-preserving synthetic data

Jinsung Yoon and Sercan Arik on a new, state-of-the-art neural architecture that is capable of representing diverse data modalities.

How technology is disrupting the venture capital industry

Brandon Jenkins on a new platform for providing capital to startups in the data infrastructure space.

Running Machine Learning Workloads On Any Cloud

Zongheng Yang on Sky Computing and SkyPilot.

2023 Trends in Data Engineering and Infrastructure

Jesse Anderson, Evan Chan, and Ben Lorica delve into the current trends and potential opportunities in data technologies.

Preparing for the Implementation of the EU AI Act and Other AI Regulations

Experts Gabriela Zanfir-Fortuna and Andrew Burt offer insights on navigating the incoming wave of AI regulation.

The Open Source Stack Unleashing a Game-Changing AI Hardware Shift

Dylan Patel on the open source software stack poised to enable more AI hardware accelerators.

Data Science and AI in Context

Peter Norvig and Alfred Spector on their acclaimed new book on data science, and recent trends in AI.

Evaluating Language Models

Percy Liang on new tools for the Holistic Evaluation of Language Models.

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