Machine Learning Street Talk (MLST)
Author
Machine Learning Street Talk (MLST)
Website
Welcome! The team at MLST is inspired by academic research and each week we engage in dynamic discussion with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI with in-depth analysis. Our approach is unrivalled in terms of scope and rigour - we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field without succumbing to hype. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/)
Audience
General interest, ages 18-50, gender-balanced, global.
Theme
General interest, entertainment, lifestyle topics.
Ads
Pre-roll, mid-roll ads, host-read ads, general product sponsorships.
Growth
Moderate - General interest shows have broad appeal but face strong competition.
E-commerce, general consumer products, entertainment, lifestyle brands.
Industries