{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Good bITs & bytes","title":"Meet Series2Vec: Navid’s new way to decode time series","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/618283e8\"></iframe>","width":"100%","height":180,"duration":571,"description":"This is an AI podcast generated from an original article and research done by humans.\n\nFrom stock prices to weather patterns, time series data powers some of the most critical systems in our modern world. But unlike static data, its dynamic nature makes it tricky to process and interpret.\nThis is where Series2Vec comes in.\nDeveloped by Navid Mouhammadi Foumani, a PhD student at Monash University’s Faculty of Information Technology, Series2Vec is a cutting-edge self-supervised learning method that tackles one of the biggest barriers to time series analysis — the need for vast amounts of labeled data. ","thumbnail_url":"https://img.transistorcdn.com/pURoc9DVsVyAuf7gbYzUaMCWCpsVViU_vm1Tx3b1kfM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMWM1/ZWRkOWNjNGRiNGNj/ZmQ2MTI5YTg5M2Rm/ZTlkZi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}