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Facebook's new Artificial Intelligence technology not only identifies Deepfakes, it can also gives hints about their origin

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Facebook's new Artificial Intelligence technology not only identifies Deepfakes, it can also gives hints about their origin Artificial intelligence (AI) created videos and pictures have become much popular and that can create some serious problems as well, because you can create fake videos, and manipulated images of any type to put anyone in trouble. Deepfakes use deep learning models to create fictitious photos, videos, and events. These days, deepfakes look so realistic that it becomes very difficult to identify the real picture from the fake one with a normal human eye, therefore, Facebook's AI team has created a model in collaboration with a group of Michigan State University that has the ability to identify not only the fabricated picture or videos, but it can even trace the origin. The latest technology of Facebook checks the resemblances from a compilation of deepfakes datasets to find out if they have a common basis, looking for a distinctive model such as small specks of noise or minor quirks in the color range of a photo. By spotting the small finger impressions in the photo, the new AI model is capable to distinguish particulars of how the impartial network that produced the photo was invented, such as how large the prototype is and how it was prepared.


Tcast: AI Artificial Intelligence Learning and Reading Human Symbols Part 2 on Apple Podcasts

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In part two of this series on AI and symbols, Alex and Jason continue their discussion on how difficult it is to really understand the variety of meanings tied up in any symbol. Yet, from language to cave art to flags, every symbol has an objective, truthful meaning hiding amongst the subjective.


Technical Challenges of AI in Moderating Hate Speech Even in 2021

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The spread of misinformation and hate speech is increasing on multiple social media platforms affecting a certain group of people. Celebrities and politicians are experiencing the most as primary targets but that is affecting the minds of common people as well. The malicious digital content also contains hate speech regarding different ethnicity and minorities like LGBTQ. Hate speech travels faster than light on social media platforms. This can develop violence, riots, or other dangerous impacts in society. It is seen that AI models and deep learning algorithms are advancing as per time but it is still struggling in moderating hate speech.


Boost your digital artistry game with this Adobe course bundle

Mashable

TL;DR: The 2021 Ultimate Adobe Designers Bundle is on sale for £32.16 as of June 19, saving you 98% on list price. Graphic design is a useful skill set that can help any business owner, podcaster, or even influencer enhance their own brand. If you want to boost your digital artistry and create better designs, logos, and more, the 2021 Ultimate Adobe Design Bundle is an easy way to build your skills. This 12-course bundle features over 500 lessons that you can tune into and absorb at your own pace -- once you gain access to them, you'll have access for life. First, you'll take the digital productivity course, which includes a digital journal to track daily habits, to-do lists, and more.


Dear enterprise IT: Cybercriminals use AI too

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In a 2017 Deloitte survey, only 42% of respondents considered their institutions to be extremely or very effective at managing cybersecurity risk. The pandemic has certainly done nothing to alleviate these concerns. Despite increased IT security investments companies made in 2020 to deal with distributed IT and work-from-home challenges, nearly 80% of senior IT workers and IT security leaders believe their organizations lack sufficient defenses against cyberattacks, according to IDG. Unfortunately, the cybersecurity landscape is poised to become more treacherous with the emergence of AI-powered cyberattacks, which could enable cybercriminals to fly under the radar of conventional, rules-based detection tools. For example, when AI is thrown into the mix, "fake email" could become nearly indistinguishable from trusted contact messages.


Artificial Intelligence tech that can hear effects of COVID-19 in cough

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Sydney: Australian computer scientists have developed a novel Artificial Intelligence-based model that can hear the effects of Covid-19 in the sound of a forced cough, even when people are asymptomatic, an advance that can pave the way for detecting the infectious disease via diagnostic mobile phone apps. During the pandemic, many crowdsourcing platforms have been designed to gather respiratory sound audios from both healthy and Covid-19 positive groups for research purposes. A team of researchers from RMIT University accessed datasets from two of these platforms -- Covid-19 Sounds App and COSWARA -- to train the algorithm using contrastive self-supervised learning, a method by which a system works independently to encode what makes two things similar or different. With further development, their algorithm could power a diagnostic mobile phone app, said lead author Hao Xue, Research Fellow in RMIT's School of Computing Technologies. "We've overcome a major hurdle in the development of a reliable, easily-accessible and contactless preliminary diagnosis tool for Covid-19," said Xue, Research Fellow in RMIT's School of Computing Technologies.


This AI tech can hear Covid in a cough – Mysuru Today

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Prime News, International (Sydney), June 18:- Australian computer scientists have developed a novel Artificial Intelligence-based model that can hear the effects of Covid-19 in the sound of a forced cough, even when people are asymptomatic, an advance that can pave the way for detecting the infectious disease via diagnostic mobile phone apps. During the pandemic, many crowdsourcing platforms have been designed to gather respiratory sound audios from both healthy and Covid-19 positive groups for research purposes. A team of researchers from RMIT University accessed datasets from two of these platforms -- Covid-19 Sounds App and COSWARA -- to train the algorithm using contrastive self-supervised learning, a method by which a system works independently to encode what makes two things similar or different. With further development, their algorithm could power a diagnostic mobile phone app, said lead author Hao Xue, Research Fellow in RMIT's School of Computing Technologies. "We've overcome a major hurdle in the development of a reliable, easily-accessible and contactless preliminary diagnosis tool for Covid-19," said Xue, Research Fellow in RMIT's School of Computing Technologies.


David Horton on LinkedIn: ElligencIA Teaser

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The annual production of data follows an exponential curve, the assimilation by a person or even by a group of persons of this data is no longer possible. To get the most out of it, it is necessary to be helped by computers. But as this data is mostly unstructured, classical algorithms are unable to do this job. Only Artificial Intelligence and in particular NLP with Sentiment Analysis can do it. We created ElligencIA with the aim of giving meaning to this ocean of data and taking advantage of this collective intelligence. ElligencIA, operational since January 1st 2021, is an AI consulting and solutions company for the BFSI.


6 Python Projects You Can Finish in a Weekend

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Learning Python can be difficult. You might spend a lot of time watching videos and reading books; however, if you can't put all the concepts learned into practice, that time will be wasted. This is why you should get your hands dirty with Python projects. A project will help you bring together everything you've learned, stay motivated, build a portfolio and come up with ways of approaching problems and solving them with code. In this article, I listed some projects that helped me level up my Python code and hopefully will help you too.


What will be the impact of 5G technology on our life, good or bad.

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By the end of 2020, approximately $ 2.7trn will be spent globally on developing 5G mobile Internet connectivity. Europe, which aims to have a net-zero emitter by 2050, believes that this investment can help achieve its climate goals by saving energy. Yet doubts about the technology - from its energy-saving claims to its impact on health and privacy - remain rife, including the banning of technology in its manifesto to several Green mayors appointed in France's recent local elections. Europe's belief is based on the capability of 5G, which is capable of large-scale processing data in real-time with potential, for example, improving traffic liquidity and reducing fuel consumption in cities or solar-like To assist in the production and integration of decentralized renewable energy. At the same time, power consumption per bit or piece of information can be 90 percent lower than 4G (fourth generation) at 5G (fifth generation connectivity), the European Commission says.