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Ekaterina (Kat) Fedorova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest movements" can paradoxically he ...  Show more

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Show more

GSK’s Chief Digital and Technology Officer Shobie Ramakrishnan discusses how the company is leveraging AI and data models for vaccine development and drug discovery in this episode of Bloomberg Intelligence’s Tech Disruptors podcast. BI’s Health-Care Analyst Sam Fazeli and Techno ...  Show more

Although we paused on publishing narrated versions of WIRED articles in this feed, you will still hear the latest in tech from the WIRED team.On WIRED's Gadget Lab, you'll find hosts Lauren Goode and Michael Calore tackling the biggest questions in the world of tech with knowledg ...  Show more

Although we paused on publishing narrated versions of WIRED articles in this feed, you will still hear the latest in tech from the WIRED team.On WIRED's Gadget Lab, you'll find hosts Lauren Goode and Michael Calore tackling the biggest questions in the world of tech with knowledg ...  Show more

Jon Krohn joins us for a year-end episode about 2020’s biggest data science breakthroughs and for a big podcast announcement for 2021. In this episode you will learn: Global warming [4:37] Our big podcast announcement [6:57] Who is Jon Krohn? [12:14] Top 3 technological brea ...  Show more