Data Science Insider: January 7th, 2022

In This Week’s SuperDataScience Newsletter: AI can Identify Structure of New Drugs. Nvidia Releases Canvas Update with New AI Model. Neural Network 2.0. Data Science Projects to Boost Your CV. Python Named TIOBE Programming Language of 2021. 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. --------------------------------------------------------------- [AI can Identify Structure of New Drugs]( brief: An AI tool can quickly suggest possible candidates for the chemical structures of psychoactive “designer drugs” from a simple analysis. The tool could fast-track the development of lab tests that screen the use of drugs with similar effects to substances such as cocaine and heroin but aren’t detectable with current tests. This is down to a new ML tool called DarkNPS which has been trained with the chemical structures of around 1700 known designer drugs, collected from forensic labs around the world. The training set included tandem mass spectrometry results for each drug, which is a common technique that provides information on the mass of a molecule and the elements it contains. This allowed the AI to identify patterns between tandem mass spectrometry data and chemical structures. Given tandem mass spectrometry data for a previously unseen drug, DarkNPS could then guess the molecular structure with an accuracy of 51%. Why this is important: The researchers also used the tool to look at drugs that could be created in the future by using the AI to generate 1 billion possible chemical structures. Afterwards, the team acquired data for 194 new designer drugs and found that 176 of these appeared in the set generated by the AI. This could help prevent the development of “legal highs” which come with a raft of potential risks. [Click here to sign up!]( [Nvidia Releases Canvas Update with New AI Model]( brief: Nvidia has just announced an update to Nvidia Canvas, powered by the GauGAN2 AI model and Nvidia RTX GPU Tensor Cores, that generate backgrounds with increased quality and 4x higher resolution, with five new materials to paint with. Nvidia Canvas brings the real-time painting tool GauGAN to anyone with an Nvidia RTX GPU. The program allows artists to use advanced AI to quickly turn simple brushstrokes into realistic landscape images, speeding up concept exploration and freeing more time to visualize ideas. The Nvidia Canvas update enables even more realistic images with greater definition and fewer artifacts, adding significant photorealism, all in up to 1K pixel resolution for increased visual quality. Exports can easily be integrated into existing creative workflows by exporting to Adobe Photoshop or an artist’s preferred creative app. Artists start in Canvas by sketching simple shapes and lines, then the AI model immediately fills the screen with real-world materials. Why this is important: AI and art are becoming increasingly entwined and Nvidia are demonstrating that they’re at the vanguard of accessible automation for budding artists. [Click here to read on!]( [Neural Network 2.0]( In brief: Uniquify, a Silicon Valley neural network technology and AI edge computing company, is introducing a transformative neural network fabric technology. Today's neural network technology utilises multiply-accumulate (MAC)-based operations to realize visual, audio, data, and natural language processing AI models. Uniquify's Neural Network 2.0 technology shrinks the neuron in the neural network by replacing MAC operations with proprietary AI processing element (AIPE) technology. Most neural network operations consist of multiplication and addition operations running in inference (prediction) mode. These operations can be implemented in hardware as a MAC block. Uniquify's AIPE block is 20 times smaller in size, power, and cost compared to the conventional MAC block and can be aggregated to achieve 70 tera operations per second (TOPS) per watt on a 7nm technology node. The area and cost reduction from AIPE technology enables AI edge computing anywhere and everywhere, including consumer markets, data centers, and the cloud. Why this is important: With such economic use of silicon real estate, Neural Network 2.0 technology has a wide variety of applications, including consumer appliances, artificial intelligence of things (AIoT), surveillance, vision inspection, diagnosis, and autonomous driving. [Click here to discover more!]( [Data Science Projects to Boost Your CV]( In brief: Writing a specific CV to apply for a data science position is no easy task. However, a well-written resume is the most critical component of getting an interview. A good data science CV should be brief -- typically, just one page long, unless the applicant has many years of experience. Your CV should include the following sections: Resume objective, experience, education, certifications, skills, projects and publications. These sections help applicants demonstrate their backgrounds and knowledge in relevant areas. Organizations looking to hire data scientists expect candidates to have either some previous work experience or, alternatively, data science-related projects. Job seekers transitioning to careers in data science right from college, switching careers or seeking different types of data science jobs can use projects to show prospective employers they have the required skills to do the job. A data science project portfolio should include 3-5 projects to showcase the applicant's relevant skills. Why this is important: This article by Towards Data Science offers seven data science projects that you could do to help to build your CV. Combining this with the skills you can learn through SuperdataScience’s various resources will ensure your CV stands out from the crowd and helps you achieve your dream data science role. [Click here to see the full picture!]( [Python Named TIOBE Programming Language of 2021]( In brief: For the second consecutive year, Python has been named Tiobe’s programming language of the year, a distinction the company awards to the language with the highest increase in ratings – or popularity – for the year 2021. Python’s year-over-year increase in popularity was 1.86%, according to Tiobe, with a year-end rating of 13.58% in the Tiobe index. Tiobe noted this was still far below Java’s all-time record of 26.49% achieved in 2001. According to Tiobe C# was on its way to becoming the language of the year but was surpassed by Python in the last month. Python, which has become a staple in data science, DevOps, and web development, also is now the most popular language in Tiobe’s rankings. Python ranked as the third most popular language in the index at the beginning of 2021 but then ascended to the top spot in October. Why this is important: The monthly Tiobe Programming Community index draws on popular search engines to assess language popularity, based on the number of skilled engineers worldwide, courses, and third-party vendors pertinent to a language. As such its rankings are always worth keeping an eye on. [Click here to find out more!]( [Super Data Science podcast]( this week's [Super Data Science Podcast](, Sadie St. Lawrence joins us for our annual look at the year's hottest data science trends - from AutoML to real-time deepfakes, remote work, and more. New year, new trends! Tune in and take note! --------------------------------------------------------------- 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? Send them [this link to sign up.]( # # If you wish to stop receiving our emails or change your subscription options, please [Manage Your Subscription]( SuperDataScience Pty Ltd (ABN 91 617 928 131), 15 Macleay Crescent, Pacific Paradise, QLD 4564, Australia