Adaptive bitrate-optimized video delivery has blossomed into an extensively researched topic given the high stakes of QoE for OTT video services. Such ABR algorithms make use of various modern machine learning techniques, which may soon be joined by a new kid on the scene called Fugu – a continual learning algorithm for bitrate selection showing early promise. Fugu is capable of establishing the most efficient way to send streaming video to diverse real-world clients, according to a recent academic paper published by computer science researchers at Stanford University. Fugu was paired with Puffer, a public website developed to stream live TV, as part of a nine-day study of 8,131 hours of video streamed to 3,719 users. Conclusively, Fugu was found…