AI Show - Channel 9

AI Show - Channel 9

Podcast de Microsoft

The AI Show Live showcases the amazing work that happens with AI at Microsoft. Developers can learn something new in AI in a short amount of time and further be directed to assets that allow them to get started and on the road to success immediately. Tune in Fridays for livestream programming while Seth Juarez works on his current Machine Learning project and Aysegul Yonet works on her Cognitive Services project live on LearnTV also streamed on YouTube. See our full schedule at https://aka.ms/AIShow

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137 episodios
episode Get Started with PyTorch artwork
Get Started with PyTorch

Learn the basics of PyTorch such as what it is, how to build and deploy a model, its strong community and more. Jump To: [01:15] What makes PyTorch different from other frameworks?[02:31] What is PyTorch?[05:35] How does PyTorch deal with data?[10:35] Building a model with PyTorch[22:08] Deploying PyTorch models to production[29:09] PyTorch community and ecosystemLearn More: PyTorch TutorialsStart Local with PyTorchCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

20 oct 2020 - 34 min
episode Faster and Lighter Model Inference with ONNX Runtime from Cloud to Client artwork
Faster and Lighter Model Inference with ONNX Runtime from Cloud to Client

ONNX Runtime is a high-performance inferencing and training engine for machine learning models. This show focuses on ONNX Runtime for model inference. ONNX Runtime has been widely adopted by a variety of Microsoft products including Bing, Office 365 and Azure Cognitive Services, achieving an average of 2.9x inference speedup. Now we are glad to introduce ONNX Runtime quantization and ONNX Runtime mobile for further accelerating model inference with even smaller model size and runtime size. ONNX Runtime keeps evolving not only for cloud-based inference but also for on-device inference. Jump To: [01:02] ONNX and ONNX Runtime overview[02:26] model operationalization with ONNX Runtime[04:04] ONNX Runtime adoption[05:07] ONNX Runtime INT8 quantization for model size reduction and inference speedup[09:46] Demo of ONNX Runtime INT8 quantization[16:00] ONNX Runtime mobile for runtime size reductionLearn More: ONNX RuntimeFaster and smaller quantized NLP with Hugging Face and ONNX RuntimeONNX Runtime for Mobile PlatformsONNX Runtime Inference on Azure Machine Learning Create a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

16 oct 2020 - 19 min
episode How Language Understanding enables Voice Commands in Word Dictation artwork
How Language Understanding enables Voice Commands in Word Dictation

Dictation in productivity apps such as Word empower people to conquer the blank page. Dictating is a fast and easy way to get your thoughts on the page during brainstorming, outlining, and authoring content. Office voice commanding is the next step to make dictation more powerful. Using AI powered by Microsoft Cognitive Services, Microsoft 365 users save time and effort with transcription and voice commanding. Office voice commanding is powered by Microsoft Cognitive services, including Cognitive Speech Studio and Language Understanding Cognitive Service. Learn More: More about voice commands on the Microsoft 365 BlogDictate your documents in Word Help ArticleLanguage Understanding (LUIS)Create a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

13 oct 2020 - 18 min
episode AI Applications Without a PhD artwork
AI Applications Without a PhD

When you think of "deep learning" you might think of teams of PhDs with petabytes of data and racks of supercomputers. But it turns out that a year of coding, high school math, a free GPU service, and a few dozen images is enough to create world-class models. fast.ai has made it their mission to make deep learning as accessible as possible, and in this interview fast.ai co-founder Jeremy Howard explains how to use their free software and courses to become an effective deep learning practitioner. Learn More: Welcome to FastAiPractice Deep Learning FastAiCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

06 oct 2020 - 25 min
episode New reinforcement learning methods aim to improve AI in gaming and beyond artwork
New reinforcement learning methods aim to improve AI in gaming and beyond

We discuss reinforcement learning – an AI approach that is especially promising for training naturally behaving game characters with nuanced reactions to human players. Viewers learn about key concepts of reinforcement learning in the context of Project Malmo – which enables RL research in the game Minecraft, and Project Paidia – which aims specifically at creating game agents that learn to genuinely collaborate with human players. Jump To: [00:50] What is reinforcement learning [02:26] Project Malmo – Minecraft as a platform for AI research[05:00] Project Paidia: towards RL agents that learn to collaborate with human players[09:00] Project Paidia demo[11:00] Call to action -AI Innovation page (Project Paidia) + Azure ML notebooks Learn More: Project Paidia deep dive pageAzure notebooks – try this todayGame Intelligence researchCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

01 oct 2020 - 13 min
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
MI TOC es feliz, que maravilla. Ordenador, limpio, sugerencias de categorías nuevas a explorar!!!
Me suscribi con los 14 días de prueba para escuchar el Podcast de Misterios Cotidianos, pero al final me quedo mas tiempo porque hacia tiempo que no me reía tanto. Tiene Podcast muy buenos y la aplicación funciona bien.
App ligera, eficiente, encuentras rápido tus podcast favoritos. Diseño sencillo y bonito. me gustó.
contenidos frescos e inteligentes
La App va francamente bien y el precio me parece muy justo para pagar a gente que nos da horas y horas de contenido. Espero poder seguir usándola asiduamente.

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