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Audio AI

CREPE Pitch Estimation

CREPE is a deep-learning model that estimates the fundamental frequency (pitch) of a monophonic audio signal directly from its raw waveform.

2 min readRead
Audio AI

PESQ and STOI Speech Quality Metrics

PESQ and STOI are standard objective metrics that score how good processed speech sounds and how understandable it is, without needing human listeners.

2 min readRead
Audio AI

Source-Filter Vocoding and WORLD

A vocoder is a tool that takes speech apart into its building blocks and rebuilds it.

2 min readRead
Companies

NVIDIA Cosmos World Foundation Models

NVIDIA Cosmos is a family of 'world foundation models' that generate and predict physically realistic video, built to teach robots and self-driving cars…

2 min readRead
Companies

Tongyi Lab and Qwen Research

Tongyi Lab is Alibaba's AI research group behind the Qwen family of open-weight large language models.

2 min readRead
Companies

Wayve LINGO Driving Language Models

Wayve's LINGO models pair a self-driving system with natural-language reasoning, so the car can explain what it sees and why it acts.

2 min readRead
Companies

NVIDIA Isaac Robotics Platform

NVIDIA Isaac is a full software-and-hardware stack for building, simulating, and deploying AI-powered robots.

2 min readRead
Companies

Snowflake Arctic Models

Snowflake Arctic is an open large language model built by the data-cloud company Snowflake, tuned for enterprise tasks like SQL generation and coding.

2 min readRead
Visual AI

LaMa Resolution-Robust Inpainting

LaMa (Large Mask inpainting) is a fast, lightweight neural network that fills missing or removed regions of an image cleanly, even when the hole is huge.

2 min readRead
Visual AI

Stable Video Diffusion

Stable Video Diffusion (SVD) is Stability AI's open foundation model that turns a single still image into a short, smoothly moving video clip.

2 min readRead
Visual AI

Lumiere Space-Time Video Generation

Lumiere is a text-to-video diffusion model from Google Research that generates an entire video clip at once using a Space-Time U-Net.

2 min readRead
Fundamentals

Scaling Laws for Neural Networks

Scaling laws are empirical formulas showing that a neural network's loss falls predictably as you grow model size, dataset size, and compute.

2 min readRead

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