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This AI newsletter is all you need #12
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This AI newsletter is all you need #12

Towards AI Team
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September 13, 2022
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Last Updated on September 27, 2022 by Editorial Team

Author(s): Towards AI Editorial Team

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

This issue is brought to you thanks to Scale AI:

AI Community, you’re Invited to attend TransformX on October 19th — 21st. TransformX is the biggest AI event of the year with over 20K attendees, 80 sessions and 100+ speakers. Hear from AI and ML experts from companies like Meta, Google, Covariant, DeepMind, Open AI and more. Take part in hands-on workshops, attend expert panel discussions and listen to keynote presentations. Registration is FREE and gives you access to all recordings!

Register now.

What happened this week in AI

Hottest News

  1. An artist won an art competition using AI!
    This brings a lot of controversy both to the AI and art fields. Many people find it fantastic, and many others think it is cheating (even up to the point of sending hate mail…). Honestly, it doesn’t really surprise me when seeing Stable Diffusion and DALLE results and what some artists do with those generated images using Photoshop to further improve realism and the quality of the results. Plus, many artists have to learn how to code and most of them don’t only use DALLE. They have to plug in multiple networks, like an upsampler model and some outpainting SOTA models. That’s an art in itself!
    What do you think?
  2. NVIDIA RTX 3080Ti Giveaway!
    Once again, many YouTubers, including Yannic Kilcher and myself (What’s AI) are giving away graphics cards thanks to NVIDIA in collaboration with their GTC events. Yes, this is another chance for you to win an NVIDIA RTX 3080Ti! Also, for the GTC event in collaboration with NVIDIA! Learn more about the giveaway and how to participate in my video 🙂
  3. Professional AI Whisperers have launched a marketplace for DALL-E prompts
    Yes, this is true. You can now buy prompts that “guarantee” good results…
    “PromptBase is at the center of the new trade-in prompts for generating specific imagery from image generators, a kind of meta-art market. […] the platform lets “prompt engineers” sell text descriptions that reliably produce a certain art style or subject on a specific AI platform.”
    How does this sound to you? Honestly, I think it may be worth it in some very narrow use cases where you really want a specific style and have tried everything without success. I have no idea. What do you think? — I’d love to know.

Most interesting papers of the week

  1. MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
    The first diffusion model-based text-driven motion generation framework, responding to fine-grained instructions on body parts, and arbitrary-length motion synthesis with time-varied text prompts.
  2. FETA: Towards Specializing Foundation Models for Expert Task Applications
    FETA, a novel benchmark for evaluating and improving Foundation (V&L) Models performance on expert data tasks (understand technical documentation, via learning to match their graphical illustrations to corresponding language descriptions).
  3. In conversation with Artificial Intelligence: aligning language models with human values [DeepMind]
    This paper proposes interesting answers to common questions involving an agent discussing with humans and how to align such agents with us (ethically, socially…): A few of the questions discussed are: What does it mean to align conversational agents with human norms or values? Which norms or values should they be aligned with? And how can this be accomplished?

Enjoy these papers and news summaries? Get a daily recap in your inbox!

The Learn AI Together Community section!

It’s finally time… Our RTX 3080Ti Giveaway in collaboration with NVIDIA!

Once again, we are giving away an NVIDIA RTX 3080Ti to one lucky member of the Learn AI Together community for the GTC event in collaboration with NVIDIA!

We are also giving the community 10 Deep Learning Institute (DLI) codes!

Learn more about the giveaway and how to participate in the most recent post shared in the 🧠weekly-ai-news-video channel 🙂

NVIDIA GTC’s second 2022 conference will be happening September 19–22.

Attend one or more talks and send me a screenshot to enter the giveaway. Check out the ai-events channel, where we shared the talks that seemed most interesting for this community.

tl;dr:

There are only two steps:

1. Be a member of the Learn AI Together Discord community.

2. Sign up to GTC for the giveaway and don’t forget to DM me (Louis Bouchard) your screenshot during the talk you decide to attend (not now, it has to be during a live talk!)!

Meme of the week!

Meme shared by our fantastic Roberto, from the Towards AI team.

Featured Community post from the Discord

We love it when you share research, whether it be your own or simply interesting papers, blog posts, or code you’ve seen. This week, I personally thank Inazuma#9447 for sharing a very interesting paper with the community! Special thanks to sin yee#3513 as well for sharing another very interesting paper related to NLP!

Convert drawings into images of real people. Cool stuff. https://eladrich.github.io/pixel2style2pixel/

Inazuma — 09/08/2022

AI poll of the week!

Join the discussion on Discord

TAI Curated section

Article of the week

Fake News Detection using BERT Model Python: The rise of social media has increased the impact of Fake News on our culture. People frequently believe what they read or hear to be true, and this has a huge impact on the globe, both politically and financially. The author develops a BERT Classification model to detect Fake News using Python in this post, employing a step-by-step methodology, well-stated model architecture, and instructive graphics.

If you are interested in writing for Towards AI, please sign up here and we will publish your blog to our network if it meets our editorial policies and standards. https://contribute.towardsai.net/

Lauren’s Ethical Take on “In conversation with Artificial Intelligence: aligning language models with human values”

We love to see an ethics paper! I really like the approach that authors Atoosa Kasirzadeh and Iason Gabriel at DeepMind took for this analysis. By focusing on the linguistic basis of speech production goals and connecting ethics to these situations and outcomes, it really highlights the nuance that’s needed for applying ethics to different settings. A model’s ability to generalize is laudable in many contexts, but not every context — some require extreme specificity for success. In addition to this, determining the extent and impact that the value of the speech affects the recipient. Types of utterances only add to this complexity.

Why is this linguistic focus so important? By drawing their conclusions from ideals based on agent-to-human interactions, the goal of the speech is automatically more realistic and replicable. This is an essential foundation to develop because language models are often built with the success condition of replicating human-to-human conversation, which can be unattainable or limiting based on the goal of the chatbot. Evolving our ethical applications is just as important as the ethics themselves, as nothing takes place in a vacuum — especially not applied AI ethics!

Join me next week as I dive further into the ethical implications of this paper!

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This AI newsletter is all you need #12 was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.

Join thousands of data leaders on the AI newsletter. It’s free, we don’t spam, and we never share your email address. Keep up to date with the latest work in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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Towards AI Team
Established in Pittsburgh, Pennsylvania, US — Towards AI Co. is the world’s leading AI and technology publication focused on diversity, equity, and inclusion. We aim to publish unbiased AI and technology-related articles and be an impartial source of information. Read by thought-leaders and decision-makers around the world. We have thousands of contributing writers from university professors, researchers, graduate students, industry experts, and enthusiasts. We receive millions of visits per year, have several thousands of followers across social media, and thousands of subscribers. All of our articles are from their respective authors and may not reflect the views of Towards AI Co., its editors, or its other writers. | Information for authors → https://contribute.towardsai.net | Terms → https://towardsai.net/terms/ | Privacy → https://towardsai.net/privacy/ | Members → https://members.towardsai.net/ | Shop → https://ws.towardsai.net/shop | Is your company interested in working with Towards AI? → https://sponsors.towardsai.net

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} strongTag.remove(); }); }); } removeStrongFromHeadings(); "use strict"; window.onload = () => { /* //This is an object for each category of subjects and in that there are kewords and link to the keywods let keywordsAndLinks = { //you can add more categories and define their keywords and add a link ds: { keywords: [ //you can add more keywords here they are detected and replaced with achor tag automatically 'data science', 'Data science', 'Data Science', 'data Science', 'DATA SCIENCE', ], //we will replace the linktext with the keyword later on in the code //you can easily change links for each category here //(include class="ml-link" and linktext) link: 'linktext', }, ml: { keywords: [ //Add more keywords 'machine learning', 'Machine learning', 'Machine Learning', 'machine Learning', 'MACHINE LEARNING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ai: { keywords: [ 'artificial intelligence', 'Artificial intelligence', 'Artificial Intelligence', 'artificial Intelligence', 'ARTIFICIAL INTELLIGENCE', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, nl: { keywords: [ 'NLP', 'nlp', 'natural language processing', 'Natural Language Processing', 'NATURAL LANGUAGE PROCESSING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, des: { keywords: [ 'data engineering services', 'Data Engineering Services', 'DATA ENGINEERING SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, td: { keywords: [ 'training data', 'Training Data', 'training Data', 'TRAINING DATA', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ias: { keywords: [ 'image annotation services', 'Image annotation services', 'image Annotation services', 'image annotation Services', 'Image Annotation Services', 'IMAGE ANNOTATION SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, l: { keywords: [ 'labeling', 'labelling', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, pbp: { keywords: [ 'previous blog posts', 'previous blog post', 'latest', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, mlc: { keywords: [ 'machine learning course', 'machine learning class', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, }; //Articles to skip let articleIdsToSkip = ['post-2651', 'post-3414', 'post-3540']; //keyword with its related achortag is recieved here along with article id function searchAndReplace(keyword, anchorTag, articleId) { //selects the h3 h4 and p tags that are inside of the article let content = document.querySelector(`#${articleId} .entry-content`); //replaces the "linktext" in achor tag with the keyword that will be searched and replaced let newLink = anchorTag.replace('linktext', keyword); //regular expression to search keyword var re = new RegExp('(' + keyword + ')', 'g'); //this replaces the keywords in h3 h4 and p tags content with achor tag content.innerHTML = content.innerHTML.replace(re, newLink); } function articleFilter(keyword, anchorTag) { //gets all the articles var articles = document.querySelectorAll('article'); //if its zero or less then there are no articles if (articles.length > 0) { for (let x = 0; x < articles.length; x++) { //articles to skip is an array in which there are ids of articles which should not get effected //if the current article's id is also in that array then do not call search and replace with its data if (!articleIdsToSkip.includes(articles[x].id)) { //search and replace is called on articles which should get effected searchAndReplace(keyword, anchorTag, articles[x].id, key); 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mlclinks = document.querySelectorAll(`#${c.id} .entry-content a.mlc-link`); llinks = document.querySelectorAll(`#${c.id} .entry-content a.l-link`); pbplinks = document.querySelectorAll(`#${c.id} .entry-content a.pbp-link`); //sending the anchor tags list of each article one by one to remove extra anchor tags removeLinks(dslinks); removeLinks(mllinks); removeLinks(ailinks); removeLinks(nllinks); removeLinks(deslinks); removeLinks(tdlinks); removeLinks(iaslinks); removeLinks(mlclinks); removeLinks(llinks); removeLinks(pbplinks); } }); } //To remove extra achor tags of each category (ds, ml, ai) and only have 2 of each category per article cleanLinks(); */ //Recommended Articles var ctaLinks = [ /* ' ' + '

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',*/ ]; var replaceText = { '': '', '': '', '
': '
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