About this episode
Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode! Join the discussion Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today! Sponsors: Knowable – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. Click here to check it out and use code CHANGELOG for 20% off! Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this ! Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com . Linode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. Featuring: Terri Jordan – LinkedIn , X Yanis Caritu – LinkedIn Chris Benson – Website , GitHub , LinkedIn , X Daniel Whitenack – Website , GitHub , X Show Notes: Aryballe Aryballe | Twitter Aryballe Hardware Solutions Aryballe Software & Data Platform How Machine Learning in Digital Olfaction Works Readying Odor Data For Reproduction Using Machine Learning Aryballe raises $7.9 million for odor-detecting AI sensors Something missing or broken? PRs welcome!