Data Science Insider: February 10th, 2023

In This Week’s SuperDataScience Newsletter: Google AI Chatbot Bard Sends Shares Plummeting. Investigation Reveals that AI Objectifies Women. Microsoft to Power Bing with AI. Liquid Neural Nets. High-Paying Data Science Careers. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- [Google AI Chatbot Bard Sends Shares Plummeting]( brief: Google has made a costly mistake in the launch of its new artificial AI-powered chatbot, Bard. The competitor to ChatGPT was launched on Wednesday and was meant to show the world that it was still a major player in the AI space. Instead, Google’s parent company, Alphabet, ended up with investors wiping more than $100bn (£82bn) off of its value after a promotional video showed the chatbot giving an incorrect answer. The chatbot was asked “What new discoveries from the James Webb space telescope (JWST) can I tell my nine-year-old about?” and replied that JWST was used to take the first pictures of a planet outside the Earth’s solar system- the first picture was taken 14 years before JWST launched. Why this is important: The launch of Bard was meant to show that Google could hold its own against Microsoft, but they’ve been left with egg on their face! [Click here to learn more!]( [Investigation Reveals that AI Objectifies Women]( brief: This exclusive investigation by the Guardian, produced in partnership with the Pulitzer Center’s AI Accountability Network, has revealed the extent to which AI shows gender bias and its algorithms are objectifying women. The investigation found that AI tools that are designed to protect internet users from exposure to violence or pornographic images are disproportionately censoring images of women, after deeming them to be ‘racy.’ It found that the tools rate photos of women as more sexually suggestive than equivalent photos of men, particularly if nipples, pregnant bellies, or exercise is depicted. As a result of the algorithms incorrectly classifying these images, women become less visible on social media, damaging their businesses and perpetuating inequalities. Why this is important: These tools are used by huge tech companies, including Google and Microsoft, meaning that the majority of us will be affected by this poor representation of women. [Click here to read on!]( [Microsoft to Power Bing with AI]( In brief: Microsoft is celebrating this week after the disastrous launch of Google’s Bard and the well-received announcement that they are working with OpenAI, the startup behind the ChatGPT tool, to upgrade its Bing search engine and Edge web browser and enhance the information available by using increasingly powerful AI tools. In this article The Verge senior editor, Tom Warren, test drives the new AI-powered version of Bing that runs on a new, next-generation large language model and claims that “the technology already feels like a big upgrade to ChatGPT.” Microsoft describes the tool as an "AI-powered co-pilot" which aims to be a conversational computer that communicates like a human and automates tasks. Why this is important: The competition between Microsoft and Google is certainly heating up and as it stands Microsoft looks like they’re leading the way. [Click here to discover more!]( [Liquid Neural Nets]( In brief: Liquid neural networks were first developed in 2020 by researchers from the Massachusetts Institute of Technology. The new type of network was based on the tiny roundworm, Caenorhabditis elegans, and was able to run more quickly and accurately than previous continuous-time neural networks. Now, researchers Ramin Hasani and Mathias Lechner have used the worm to further develop the series of algorithms. Lechner believes that their neural network is an improvement on existing models, and explains: “[They] can only tell you what’s happening at one, two or three seconds. But a continuous-time model like ours can describe what’s going on at 0.53 seconds or 2.14 seconds or any other time you pick.” Why this is important: This article by Quanta Magazine offers a comprehensive overview of liquid neural networks and demonstrates why a worm’s nervous system may be the key to offering a neural network with speed and adaptability. [Click here to see the full picture!]( [High-Paying Data Science Careers]( In brief: Careers in data science offer numerous rewards; its intellectually challenging, analytically satisfying, and put you at the forefront of new advances in technology. It can also be well renumerated as there is a sky-high demand for talented staff alongside a skills drought. This article by Cointelegraph - the leading independent digital media resource for news on blockchain technology, crypto assets, and emerging fintech trends – lists five careers that may surprise you in their salaries. If you are seeking a high paid job it recommends looking for roles as a data scientist, machine learning engineer, big data engineer, business intelligence manager, or data analyst manager and explains the five key roles of each position. Why this is important: Who wouldn’t want to earn more money? By doing your homework there’s nothing to stop you from securing a well-paid role in the future. [Click here to find out more!]( [Super Data Science podcast]( this week's Super Data Science Podcast, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color. [Click here to find out more!]( --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? Check out the [SuperDataScience platform]( and sign up for membership today! Know someone who would benefit from getting The Data Science Insider? 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