Welcome to Nural's newsletter focusing on how AI is being used to tackle global grand challenges.
Packed inside we have
- Tesla CEO Elon Musk unveils prototype humanoid Optimus robot
- Meta and Google AI systems that generate videos from text
- and AudioLM: a Language Modeling Approach to Audio Generation
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Key Recent Developments
Tesla CEO Elon Musk unveils prototype humanoid Optimus robot
Generative AI: A Creative New World
What: A comprehensive overview of the generative AI landscape at the application layer. Beyond the most well known text and image generation applications, we are seeing the emergence of code, speech and 3D image generation.
Facebook Research - Introducing Make-A-Video: An AI system that generates videos from text
What: Meta AI have released a model which turns text into short form videos, building upon recent successes by many models to generate images from text prompts. Th opportunities this unlocks for content creation is astounding. Google wasted no time in responding and have released their own text to video model. Generative AI is moving at a rapid pace, will safeguarding be able to keep up?
AudioLM: a Language Modeling Approach to Audio Generation
What: Google AI have released a model that can generate realistic and consistent audio given a few seconds of either speech or piano playing. This represents a significant milestone given the complexity of generating both realistic audio alongside audio that is stylistically consistent with initial audio inputs.
The team also trained a classifier that can detect between synthetic audio vs real audio which is a great demonstration of responsible AI.
Other interesting reads
Cool companies found this week
Despite the company claiming above that they have authorisation to create a deepfake, Bruce Willis has now claimed that this authorisation was never provided.
AI/ML must knows
Foundation Models - any model trained on broad data at scale that can be fine-tuned to a wide range of downstream tasks. Examples include BERT and GPT-3. (See also Transfer Learning)
Few shot learning - Supervised learning using only a small dataset to master the task.
Transfer Learning - Reusing parts or all of a model designed for one task on a new task with the aim of reducing training time and improving performance.
Generative adversarial network - Generative models that create new data instances that resemble your training data. They can be used to generate fake images.
Deep Learning - Deep learning is a form of machine learning based on artificial neural networks.
Nural Research Founder
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