AI Frontiers in 2024: Series

We introduce the series, the project undertaken and overview of the methodology.

We conducted 42 in-depth, semi-structured interviews with a diverse group of AI stakeholders: primarily AI researchers, along with startup founders and industry experts.

To gain a comprehensive perspective, we prioritized in-depth conversations with individuals actively involved in AI research and development. Our interviewees represented three key groups.

The team used existing scholarly articles, conference proceedings, and white papers to get insights into the prevailing trends, persistent challenges, and burgeoning opportunities.

We provide a description of who we talked to and what we explored in the conversations. This provides context for the subsequent findings.

Here we provide a breakdown of recent AI breakthroughs, new datasets, and emerging techniques, drawing from the primary and secondary research.

We provide a review of novel and evolving methods used by AI researchers and engineers.

We explore various pain points and difficulties encountered in data acquisition, processing, and training.

We explore the major trends, pain points, challenges and opportunities for one of the major bottlenecks of AI.

A brief discussion of the findings that most surprised us

We examine one of the most cited bottlenecks in AI by researchers and startups alike.