Omar Maher provides a comprehensive look at the adoption, developments, and challenges in the world of Synthetic Data Generation.
Revolutionizing B2B: Unleashing the Power of AI and Data
Simon Chan on the evolution of AI, Cloud Computing, and Business Collaboration software.
AI Metadata
Gev Sogomonian on the role metadata plays in developing next-generation AI and LLM-backed applications.
The 2023 AI Index
Raymond Perrault on language models, scaling laws, reasoning, multimodal models, and ethical AI.
Custom Foundation Models
Hagay Lupesko on why it is critical for organizations to build their own generative AI models.
Uncovering and Highlighting AI Trends
Jakub Zavrel on the 100 Most Cited Papers, Top Research Topics, and the Future of Language Models, Multimodal AI, and…
How Data and AI Happened
Chris Wiggins on how Data and Algorithms have shaped society and what we can do about it.
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.