Welcome to the AI newsletter!

In this week's edition, we'll be sharing the funding landscape and research that happened in the last few months in the field of AI.

From new research and development in the field to the latest industry trends and opinions, we've got you covered.

As the year is coming to a close, we would like to invite you to join us for a virtual meetup to discuss the exciting developments in the world of artificial intelligence in 2022.

During this meetup, we will cover a wide range of topics including the latest advances in machine learning, natural language processing, and computer vision. We will also be discussing the ethical implications of AI and its potential impact on society.

Whether you are an AI enthusiast, a researcher, or just interested in learning more about this rapidly evolving field, we welcome you to join us for what is sure to be a fascinating and informative discussion.

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Artificial Intelligence · Zoom · Luma
Hello everyone,As the year is coming to a close, we would like to invite you to join us for a virtual meetup to discuss the exciting developments in the world of artificial intelligence in...

Back to AI this week, here are some of the topics that you may want to keep an eye on.

Nathan is back with his latest guide to AI. The state of ai author always gives nuggets which are both timely and useful. Highly recommended.

🎇 Your guide to AI: January 2023
Hi all! Welcome to the latest issue of your guide to AI, an editorialized newsletter covering key developments in AI research, industry, geopolitics and startups during December 2022. Before we kick off, a couple of news items from us :-) Check out our

VALL-E is a new TTS system developed by Microsoft that uses audio codec codes as an intermediate step in the process of generating spoken language. It was trained on a large amount of English speech data and can generate high-quality personalized speech based on just a short recording of someone's voice. It also has the ability to learn and adapt to new contexts without requiring any additional engineering or fine-tuning. Microsoft developed VALL-E using a large amount of semi-supervised data, which means that the data used to train the system was partially labeled. This allows the system to learn more generally and be more flexible in generating speech for a variety of different speakers.

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
We introduce a language modeling approach for text to speech synthesis (TTS).Specifically, we train a neural codec language model (called Vall-E) usingdiscrete codes derived from an off-the-shelf neural audio codec model, andregard TTS as a conditional language modeling task rather than continuou…

What’s next for AI
Get a head start with our four big bets for 2023.
Unpacking the “black box” to build better AI models
MIT Associate Professor Stefanie Jegelka develops algorithms for deep learning applications and studies how deep learning models behave and what they can learn.

Funding News:

Dataiku Announces $200 Million Investment Led by Wellington Management | Dataiku
Series F funding reinforces company’s leadership position and supports its strong momentum and product innovation
Locus Robotics raises $117 million in new funding, valuing startup at $2 billion
Locus Robotics, a maker of autonomous mobile robots for fulfillment and distribution warehouses, has raised $117 million in Series F funding, led by Goldman Sachs Asset Management and G2 Venture Pa…
Runway raises $50M Series C | Runway Blog
Building the next creative suite, the Generative Suite.

Videos this week

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In case you missed

Last Week's Posts

NYC blocks ChatGPT in schools
NYC blocks access to ChatGPT on school networks as cheating fears swirlThe chatbot’s ability to churn out pitch perfect essay responses to prompts spanning a wide range of subjects has sparked fears among some educators that their writing assignments could soon become obsolete — and that the program…
Muse: Text-to-image generation tool
Muse is a machine learning model that is able to generate images based on text input. It is trained on a task where it is given the text embedding (a mathematical representation of the meaning of a piece of text) from a large language model (a machine learning model that
Graph Machine Learning
Graph machine learning is a subfield of machine learning that is concerned with the development of algorithms and techniques for learning from graph-structured data. Graphs are a flexible and powerful data structure that can be used to represent a wide range of real-world phenomena, including social…
How far can we get with a single GPU in just one day?
How far can we get with a single GPU in just one day?
Dream3D: Generate 3D from text
Using Dream Fields (described below), it is possible to train a view-consistent NeRF (neural radiance fields) for an object without any images.
AI Startups to look out for in 2023
As you consider which startups to watch in the coming year, keep an eye out for those that are solving real problems and addressing important trends.
Google Courses you need to take in 2023
FREE Google #Courses you need to take in 2023.

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