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Top 10 Career Prospects in Data Science

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A Data Scientist extracts insights from raw data and uses them to solve a problem. Data scientists are in high demand as they can help companies make sense of the ever-growing amount of data available. A career in data science can be very rewarding as there are many opportunities for growth and development. The work is interesting, challenging, and intellectually stimulating. Here is a list of the top 10 career prospects in Data Science. Whether you're looking to start a career in data science or want to upgrade your existing skills, you'll need to be prepared to work with massive amounts of data. The demand for data analysts is growing rapidly. While the field has been around for a while, the latest trends and developments show that it is still very much alive and kicking.


Image Caption Generator using Deep Learning

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Our brain is capable of identifying or annotating each image that is shown to us. How can a computer analyse a picture and assign it a caption that is both extremely relevant and accurate? Building a useful caption generator for a picture was formerly thought to be very hard, but because to improvements in computer vision and deep learning techniques, the availability of pertinent datasets, and AI models, it is now much simpler. Many data annotation companies are making billions of dollars from caption creation, which is also expanding globally. In this tutorial, we'll show you how to create an annotation tool that can use datasets to provide descriptions for images that are extremely relevant.


Meet GPT-JT, the Closest Open Source Alternative to GPT-3

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Recently, Together, an open source community led by researchers and technocrats, released a new version of GPT-JT trained on six billion parameters. This new model has been built using recently published open source techniques and datasets. It has been trained with its decentralised approach on the Together Research Computer, a local, in-house network developed by the team. Unlike GPT-3, which is available on-demand/request, GPT-JT is now available as open source. Click here to access the code and datasets.


Countering Luddite politicians with life (and cost) saving machines

Robohub

The climax culminated with a drone light display of 500 Unmanned Ariel Vehicles (UAVs) illustrating the whimsical characters of the popular mobile game over the Hudson. Rather than applauding the decision, New York lawmakers ostracized the avionic wonders to Jersey. In the words of Democratic State Senator, Brad Hoylman, "Nobody owns New York City's skyline – it is a public good and to allow a private company to reap profits off it is in itself offensive." The complimentary event followed the model of Macy's New York fireworks that have illuminated the Hudson skies since 1958. Unlike the department store's pyrotechnics that release dangerous greenhouse gases into the atmosphere, drones are a quiet climate-friendly choice.


Tricking algorithms: AI tools could boost social media users' privacy

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Smart AI tools could protect social media users' privacy by tricking algorithms designed to predict their personal opinions, a study suggests. Digital assistants could help prevent users from unknowingly revealing their views on social, political and religious issues by fighting AI with AI, researchers say. Their findings suggest automated assistants could offer users real-time advice on ways to modify their online behavior to mislead AI opinion-detection tools so that their opinions stay private. The study is the first to identify how Twitter users can hide their views from opinion-detecting algorithms that can aid targeting by authoritarian governments or fake news sources. Previous research has focused on steps that owners--rather than users--of social media platforms can take to improve privacy, though such actions can be difficult to enforce, the team says.


Creating a Cover Letter Generator Using Python and GPT-3

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With the Great Resignation looming over 2022, more and more workers are also estimated to be on the job hunt. A record number of people have quit their jobs since the beginning of the COVID-19 pandemic, and while this trend does not seem to be slowing down any time soon, it is clear that this worker revolution also necessitates the need for appropriate tools to help these newly-displaced workers find more fulfilling jobs. That's why I set out to build a cover letter generator as a quick weekend project. One of the most tedious parts of applying for jobs is writing a cover letter. Despite how much job seekers would want to share how their skills and experience are a good fit for a role, it is often a very stressful and tiring experience to write multiple cover letters for each job and each employer that a job seeker is applying to.



The future of generative AI and its ethical implications

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Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Generative AI is revolutionizing how we experience the internet and the world around us. Global AI investment surged from $12.75 million in 2015 to $93.5 billion in 2021, and the market is projected to reach $422.37 billion by 2028. While this outlook might make it sound as if generative AI is the "silver bullet" for pushing our global society forward, it comes with an important footnote: The ethical implications are not yet well-defined. This is a severe problem that can inhibit continued growth and expansion.


AI enables traffic lights, making the roads hassle-free ride. - Blinx AI - Medium

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Could Artificial Intelligence be the key to a smooth and largely traffic-free morning commute? And the answer is yes! AI developing and constructing a cutting-edge, photo-realistic traffic simulator helps enable users to get the route with the least amount of traffic and even strategize the function of the signal, which reduces the traffic. The city's traffic and street network data was then used to train a machine-learning-based computer algorithm. It virtually experimented with different light-changing patterns -- which would continuously adapt to real-time traffic conditions -- to see which ones would work best at minimizing wait times.


Two new AI systems beat humans at complex games of Stratego and Diplomacy

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Two new papers from AI powerhouses DeepMind and Meta describe how AI systems are notching wins against human players in complex games involving deception, negotiation and cooperation. Why it matters: Machine contenders have struggled with games where information is incomplete or hidden from players -- similar to the intentions of humans in daily life and interactions. Driving the news: Researchers from DeepMind outline a new autonomous agent called "DeepNash" that learned to play the game Stratego in a paper published today in Science. How they did it: The DeepMind team combined an algorithm for learning the game through self-play and another that steers that learning toward an optimal strategy. Meta researchers last week described an AI system called "Cicero" that they report can play the game Diplomacy at the level of humans.