Imagen de portada del espectáculo Wave of the Day

Wave of the Day

Podcast de smallest.ai

inglés

Tecnología y ciencia

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Discover the latest in AI with our daily podcast, where we unpack one AI research paper in a concise, engaging format. Powered by our own AI voices, we deliver key insights and ideas to keep you informed and inspired—all in just a few minutes.

Todos los episodios

20 episodios

Portada del episodio What is NN-grams?

What is NN-grams?

What happens when you combine the best of old-school language models and the power of neural networks? You get NN-grams! In this episode, we break down how this new model blends n-grams (which remember word patterns) with neural networks (which can generalize like a pro). The result? More accurate and faster speech recognition. NN-grams are already outperforming traditional models on tasks like Italian speech recognition, and they’re faster too. Want to know how this hybrid model is changing the speech AI game? Tune in to learn more! Link to research paper-  https://arxiv.org/abs/1606.07470 [https://arxiv.org/abs/1606.07470] Follow us on social media: Linkedin: https://www.linkedin.com/company/smallest/ [https://www.linkedin.com/company/smallest/] Twitter: https://x.com/smallest_AI [https://x.com/smallest_AI] Instagram: https://www.instagram.com/smallest.ai/ [https://www.instagram.com/smallest.ai/] Discord: https://smallest.ai/discord [https://smallest.ai/discord]

7 de ene de 2025 - 4 min
Portada del episodio How Listen, Attend and Spell (LAS) neural network was gigantic is breakthrough in speech AI

How Listen, Attend and Spell (LAS) neural network was gigantic is breakthrough in speech AI

In this episode, we dive into the revolutionary Listen, Attend and Spell (LAS) model that transforms how speech-to-text systems work. Unlike traditional methods that separate the process into multiple stages, LAS combines everything into one model, making it faster and more efficient. The system has two key parts: a 'listener' that processes the audio input, and a 'speller' that converts the information into text using attention-based mechanisms. Tune in to learn how LAS outperforms older speech recognition models, achieving impressive accuracy without relying on dictionaries or language models! Link to research paper-  https://arxiv.org/abs/1508.01211 [https://arxiv.org/abs/1508.01211] Follow us on social media: Linkedin: https://www.linkedin.com/company/smallest/ [https://www.linkedin.com/company/smallest/] Twitter: https://x.com/smallest_AI [https://x.com/smallest_AI] Instagram: https://www.instagram.com/smallest.ai/ [https://www.instagram.com/smallest.ai/] Discord: https://smallest.ai/discord [https://smallest.ai/discord]

6 de ene de 2025 - 4 min
Portada del episodio What is scheduled sampling? Improving sequence prediction in RNNs

What is scheduled sampling? Improving sequence prediction in RNNs

In this episode, we explore how Scheduled Sampling helps Recurrent Neural Networks (RNNs) make better predictions for tasks like machine translation and image captioning. Normally, during training, RNNs use the actual previous word or token to predict the next one. But when making predictions, the model has to use its own previous predictions, which can lead to mistakes building up. Scheduled Sampling solves this by slowly shifting the model from using the correct token during training to using its own predictions, helping it learn more effectively and reduce errors. Tune in to learn how this approach helped improve results in a major image captioning competition! Link to research paper-  https://arxiv.org/abs/1506.03099 [https://arxiv.org/abs/1506.03099] Follow us on social media: Linkedin: https://www.linkedin.com/company/smallest/ [https://www.linkedin.com/company/smallest/] Twitter: https://x.com/smallest_AI [https://x.com/smallest_AI] Instagram: https://www.instagram.com/smallest.ai/ [https://www.instagram.com/smallest.ai/] Discord: https://smallest.ai/discord [https://smallest.ai/discord]

5 de ene de 2025 - 4 min
Portada del episodio How batch normalization led to faster, smarter AI training

How batch normalization led to faster, smarter AI training

How do you speed up deep neural network training and improve its performance simultaneously? Batch Normalization is the answer. By addressing internal covariate shift, it allows models to train faster, requiring fewer steps and lower learning rates. In this episode, we break down how this technique was applied to a state-of-the-art image classification model, cutting training time by 14 times and surpassing human-level accuracy on ImageNet. Tune in to learn how Batch Normalization is transforming deep learning and setting new benchmarks in AI research. Link to research paper-  https://arxiv.org/abs/1502.03167 [https://arxiv.org/abs/1502.03167] Follow us on social media: Linkedin: https://www.linkedin.com/company/smallest/ [https://www.linkedin.com/company/smallest/] Twitter: https://x.com/smallest_AI [https://x.com/smallest_AI] Instagram: https://www.instagram.com/smallest.ai/ [https://www.instagram.com/smallest.ai/] Discord: https://smallest.ai/discord [https://smallest.ai/discord]

4 de ene de 2025 - 3 min
Portada del episodio Teaching AI to Move: GRUs in Sequence Modeling

Teaching AI to Move: GRUs in Sequence Modeling

How does AI learn to predict and generate realistic human motion? In this episode, we dive into the power of Gated Recurrent Units (GRUs) for sequence modeling. Discover how this advanced RNN architecture captures long-term dependencies, predicts motion data point by point, and generates lifelike movements. From speech synthesis to machine translation, GRUs are proving their versatility—tune in to see how they’re reshaping AI’s ability to understand and create dynamic sequences. Link to research paper-  https://arxiv.org/abs/1501.00299 [https://arxiv.org/abs/1501.00299] Follow us on social media: Linkedin: https://www.linkedin.com/company/smallest/ [https://www.linkedin.com/company/smallest/] Twitter: https://x.com/smallest_AI [https://x.com/smallest_AI] Instagram: https://www.instagram.com/smallest.ai/ [https://www.instagram.com/smallest.ai/] Discord: https://smallest.ai/discord [https://smallest.ai/discord]

3 de ene de 2025 - 3 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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