In This Week’s SuperDataScience Newsletter: OpenAI debuts ChatGPT. Disney’s Unveils Neural Network to Change an Actor’s Age with Ease. Google to Develop AI Breast Cancer Screening Tools. DeepMind uses Deception to beat Human Players at Stratego. Leading Artists Create AI Works. 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. --------------------------------------------------------------- [OpenAI debuts ChatGPT]( brief: NeurIPS 2022 was held this week in New Orleans and many were hoping for confirmation of the GPT-4 rumours that have been swirly around for weeks. Instead, OpenAI made news by announcing a new model in what it calls the ‘GPT-3.5 series’ of AI-powered large language models: text-davinci-003. Also known as ChatGPT, OpenAI’s new launch is a brand-new AI model that reportedly improves on its predecessors by handling more complex instructions and producing higher-quality, longer-form content. The tool is built on GPT-3’s engine and can write code, solve problems and provide customer support. It is said that the new model: “builds on InstructGPT, using reinforcement learning with human feedback to better align language models with human instructions.” Why this is important: ChatGPT is capable of understanding and responding to natural language queries in a variety of ways that previous versions of GPT-3 models weren’t. [Click here to learn more!]( [Disney’s Unveils Neural Network to Change an Actor’s Age with Ease]( brief: Researchers from Disney have revealed a new ageing/de-ageing tool that can make an actor look convincingly older or younger, within five seconds. Currently, re-ageing an actor is a cost-prohibitive and labour-intensive process that requires human artists to go through a scene frame-by-frame and manually alter a character's appearance. The new tool will still require artists to make the final alterations, which make the actors look as convincing as possible, but without the need for weeks of complex and expensive visual effects work. In the past attempts have been made to automate the process with neural networks and ML but they have ultimately failed to be truly convincing when applied to moving images, despite being effective with still prints. Why this is important: Here at SuperDataScience we frequently cover stories of AI’s artistic abilities but Disney’s new tool further demonstrates its power when it comes to photo-realistically altering footage. [Click here to read on!]( [Google to Develop AI Breast Cancer Screening Tool]( In brief: For the first time, Google has licensed its AI research model for breast cancer screening, partnering with medical technology company iCAD. The two companies are targeting a 2024 release for deploying the technology in real-world clinical settings at 7,500 mammography sites globally, with commercial deployment following and dependent on the success of continued research and testing. iCAD is a maker of cancer detection and radiation therapy equipment and they will integrate Google's computer vision system, designed to detect breast cancer in mammography scans. They will use Google Cloud services to develop infrastructure for storing data securely and have licensed the tech giant’s breast cancer screening model for five years Why this is important: There is still some way to go but the partnership hopes that it will eventually lead to more accurate breast cancer detection and risk assessment. [Click here to discover more!]( [DeepMind uses Deception to beat Human Players at Stratego]( In brief: Last week in the SuperDataScience newsletter we learned that Meta AI had announced the development of Cicero, the first AI to achieve human-level performance in Diplomacy. This week it’s the turn of Deepmind, who claim that they’ve created a new AI agent that is capable of playing Stratego at a “human expert level.” The AI, known as DeepNash, has an 84% overall win rate when competing against human players online. The war-themed board game involves imperfect information, and requires longer-term decision-making and a huge number of possible game scenarios, making it more difficult than poker, Go, and chess. Deepmind researchers say that it is this that makes the game the perfect test of DeepNash’s capabilities. Why this is important: AIs that can win at deceptive board games represent a milestone in cognitive development as they require an understanding of how humans might think and act, opening up the possibility of better problem-solving AIs. [Click here to see the full picture!]( [Leading Artists Create AI Works]( In brief: This article from the Guardian offers a fun and interesting take on the oft-discussed topic of automated art. It takes six leading contemporary artists- Gilbert and George, Gillian Wearing, Mat Collishaw, Elizabeth Price, Polly Morgan, and Lindsey Mendick – and has them create artworks using AI. The article argues that a push toward ‘strong AI’ will result in an evolution of AI-generated art that will exceed the human mind. By using these acclaimed artists (including three Turner prize-winners) we are able to see how AI can create artworks that are surprising, disturbing, and fascinating- ultimately concluding that it is the collaboration between artist and machine that makes them so and opening up the possibility of more alliances in the future. Why this is important: Art is a subjective subject but these images show that we are still some way off from creating sentient machines that can capture the human condition. [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, Luke Barousse, a full-time YouTuber who produces content to help aspiring data scientists, shows us exactly how versatile data science can be: from nuclear engineering and working on a submarine to a meal-planning business and niche-humour sketches. --------------------------------------------------------------- What is the Data Science Insider? 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