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...
Register

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
Guide to AINathan Benaich

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…
arXiv.orgChengyi Wang
What’s next for AI
Get a head start with our four big bets for 2023.
MIT Technology ReviewMelissa Heikkilä
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.
MIT News | Massachusetts Institute of TechnologyAdam Zewe | MIT News Office

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
Dataiku
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…
Robotics & Automation NewsMark Allinson
Runway raises $50M Series C | Runway Blog
Building the next creative suite, the Generative Suite.
Runway Blog

Videos this week

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