What's New In ML #6
AI coauthor, decoding speech from brain activity, DALL-E Outpainting, language patterns, searching for battery materials, AI whisperers, DoD's marketplace, startup funding news
Hello friends,
Welcome to the 6th edition of What’s New In ML on Infinite Curiosity. The goal of this segment is to help you stay updated on what’s happening in the world of ML, AI, and Data. We’ll talk about real-world applications, cutting edge research, startups, and everything else that’s moving this field forward.
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I asked DALL-E to generate an image of a penguin with glasses sitting on a chair reading a newspaper.
I think the penguin is secretly reading this newsletter. Let’s dive in.
APPLICATIONS AND RESEARCH
Stanford releases CoAuthor
CoAuthor is a human-AI collaborative writing dataset that captures rich interaction between 63 writers and four instances of GPT-3 across 1445 writing sessions in English.
They've built an AI system that can write on its own. As you write, it will generate suggestions for you. You can then edit it and create the final version. It will speed up the writing process. Read more
Using AI to decode speech from brain activity
Every year, more than 69 million people around the world suffer traumatic brain injury, which leaves many of them unable to communicate through speech, typing, or gestures. These people’s lives could dramatically improve if researchers developed a technology to decode language directly from noninvasive brain recordings. Today, we’re sharing research that takes a step toward this goal. We’ve developed an AI model that can decode speech from noninvasive recordings of brain activity.
Meta AI has developed an AI model that can understand what the person wants to say without actually needing them to say the words. It decodes it directly from the brain. Read more
AI model that can extend an image while maintaining the context
DALL-E's Edit feature already enables changes within a generated or uploaded image — a capability known as Inpainting. Now, with Outpainting, users can extend the original image, creating large-scale images in any aspect ratio. Outpainting takes into account the image’s existing visual elements — including shadows, reflections, and textures — to maintain the context of the original image.
This is a nice incremental feature. It shows that we can train a generative AI model to understand the context in an image and extend it. Read more
ML model that can discover human language patterns on its own
Human languages are notoriously complex, and linguists have long thought it would be impossible to teach a machine how to analyze speech sounds and word structures in the way human investigators do. But researchers at MIT, Cornell University, and McGill University have taken a step in this direction. They have demonstrated an artificial intelligence system that can learn the rules and patterns of human languages on its own.
Researchers have developed an ML model can discover linguistic rules on its own. Read more
MIT researchers use ML to speed up research on new battery materials
And now, a possible breakthrough has been found by MIT researchers with the help of machine learning-based tools that can create computer simulations quickly and effectively, as creating computer simulations is a very long and extensive calculation process.
Researchers have been working on figuring out how to increase the energy storage capacity of batteries. A battery can be made from different materials. But figuring out which material is going to increase the battery capacity is a very long process. This research from MIT will help speed it up. Read more
Professional AI whisperers have launched a marketplace for DALL-E prompts
PromptBase is at the center of the new trade in prompts for generating specific imagery from image generators, a kind of meta-art market. Launched earlier this summer to both intrigue and criticism, the platform lets 'prompt engineers' sell text descriptions that reliably produce a certain art style or subject on a specific AI platform. When you buy the prompt, you get a string of words that you paste into Midjourney, DALL-E, or another system that you’ve got access to. The result (if it’s a good prompt) is a variation on a visual theme like nail art designs, anime pinups, or futuristic succulents.
Generative AI models like DALL-E or Midjourney let you generate images based on text description. But you have to pay every time you enter the text, even if the generated image is not to your liking. How do we get text descriptions that can generate good images? PromptBase aims to solve this problem. Their marketplace lets people sell text descriptions to people who need them. Read more
DoD to roll out new online marketplace to speedily buy AI-aligned tech
The Pentagon’s Chief Digital and Artificial Intelligence Office (CDAO) is preparing to launch a new one-stop online marketplace to solicit, evaluate and curate technologies specifically associated with AI, machine learning, data and analytics — and also enable Defense Department components to rapidly buy those digital capabilities, according to a recently published special notice.
DoD wants to make sure they have access to the latest AI technologies. They're preparing to launch a marketplace to make sure all departments have access to them. Read more
STARTUP FUNDING
Tarci raises $17M Series A led by Sound Ventures for its sales lead intelligence engine
Protex AI raises $18M Series A led by Notion Capital to prevent workplace accidents before they happen
Fairmarkit raises $35.6M Series C led by OMERS Growth Equity for its procurement platform
Mavenoid raises $30M Series B led by Smedvig Capital for its hardware support platform
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