20:51
The NEW Best ASR – NVIDIA Nemotron 3.5 ASR
NVIDIA's Nemotron 3.5 ASR is a 600-million-parameter streaming speech recognition model that transcribes 40 languages from a single c...
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25:20
Beyond Transcription: Building Voice AI That Understands Conversations — Hervé Bredin, pyannoteAI
Hervé Bredin, chief science officer and co-founder of pyannoteAI, presents a conference talk exploring what becomes possible when voi...
24:35
Engineering voice agents: Latency, quality, and scale — Rishabh Bhargava, Together AI
Rishabh Bhargava, who leads the voice AI team at Together AI and previously co-founded Refuel (acquired by Together), delivers a prac...
34:47
AI just BROKE the ENTIRE INDUSTRY…
Wes Roth examines a convergence of AI developments pointing toward a major disruption of the financial services industry, drawing exp...
05:42
NVIDIA New AI Is An Efficiency Monster
Two Minute Papers host Dr. Károly Zsolnai-Fehér breaks down NVIDIA's newly released 30-billion-parameter open multimodal model, which...
47:54
Never write an update again: Notion’s AI-powered engineering meetings | Ryan Nystrom
Ryan Nystrom, engineering manager at Notion, joins host Claire Vo on the How I AI podcast to show how AI has restructured his team's...
14:37
Is This The Fastest ASR?
Sam Witteveen breaks down IBM's Granite Speech 4.1 release — a suite of three ~2-billion-parameter ASR models designed for edge deplo...
08:17
Build Your Own Voice AI Translation App with OpenAI’s Real-Time Translation Model
Fahd Mirza walks through building a live voice translation application using OpenAI's newly released GPT real-time translate model—a...
32:23
Building Realistic Voice Agents Has Never Been Easier
Nate Herk demonstrates how to build a fully functional voice agent in roughly 15 minutes using Claude Code and ElevenLabs, without ma...
32:36
RTX 5090, Mac Studio, or DGX Spark? I tried all three.
Nate B Jones tests the RTX 5090, Apple Mac Studio, and NVIDIA DGX Spark as personal AI computing platforms, but the video is as much...