Season 1 Episode 4: Detecting Depression with AI
About this episode
Join host Graeme Klass as he sits down with aspiring data scientist Teena Sahu, the mind behind an AI software tool that can identify signs of depression. Learn about the intricate web of machine learning and brain-computer interfaces (BCI) that underpin Teena's groundbreaking work. Discover how her innovative approach to AI technology is bridging the gap between the digital and emotional worlds, shedding light on the profound connection between technology and human well-being.
This discussion will leave you with a deeper appreciation for the profound impact AI can have on our lives.
Learn more about how Intel is leading the charge in the AI Revolution at Intel.com/AIperformance
See omnystudio.com/listener for privacy information.
Get every episode summarized
Each time Technically Speaking: An Intel Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Technically Speaking: An Intel Podcast
Season 2 Episode 8: The Smartest Olympics Yet
Technically Speaking: An Intel Podcast
Season 2 Episode 7: Closing The AI Workforce Gap Through Education
Technically Speaking: An Intel Podcast
Season 2 Episode 6: The Future of Technology and Manufacturing
Technically Speaking: An Intel Podcast
Season 2 Episode 5 - AI and the Future of Retail
Technically Speaking: An Intel Podcast