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Machine Learning Can Help Detect Misinformation Online

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As social media is increasingly being used as people's primary source for news online, there is a rising threat from the spread of malign and false information. With an absence of human editors in news feeds and a growth of artificial online activity, it has become easier for various actors to manipulate the news that people consume. RAND Europe was commissioned by the UK Ministry of Defence's (MOD) Defence and Security Accelerator (DASA) to develop a method for detecting the malign use of information online. The study was contracted as part of DASA's efforts to help the UK MOD develop its behavioural analytics capability. Our study found that online communities are increasingly being exposed to junk news, cyber bullying activity, terrorist propaganda, and political reputation boosting or smearing campaigns.


Information Systems Professor Receives $190K Grant to Improve Self-Driving Cars - AfroTech

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Trailblazing information systems professor, Siobahn Day Grady, Ph.D., is a Black tech unicorn you should know about. Not only is she the first woman to receive a doctorate degree in the field of computer science -- according to North Carolina Central University -- from North Carolina A&T State University in 2018, but she also recently received a $190,000 grant to conduct research to improve self-driving cars. Grady received the grant from the National Science Foundation's Historically Black Colleges and Excellence in Research program and plans to use the funds to research and identify issues with self-driving cars. "This research is very timely and relevant; it's the future," Grady said, according to North Carolina Central University. "I'm excited to contribute to the field as well as provide research opportunities to students."


How To Create An AI (Artificial Intelligence) Model

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Digital generated image of data. Lemonade is one of this year's hottest IPOs and a key reason for this is the company's heavy investments in AI (Artificial Intelligence). The company has used this technology to develop bots to handle the purchase of policies and the managing of claims. Then how does a company like this create AI models? Well, as should be no surprise, it is complex and susceptible to failure.


AI Beauty - How the beauty industry is evolving - Less than average

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Not all skin (or skincare) is created equal. One of the biggest challenges facing skincare consumers today is finding products that work for them--their unique skin type and the unique challenges they face with their skin. And, you won't find it on Google. The one-size-fits-all approach that most skincare and beauty companies take just doesn't deliver the unique skincare solutions consumers need to get their healthiest complexion. This doesn't give individuals the personalization they need.


Artificial Intelligence Beauty - How The Beauty Industry Is Evolving

#artificialintelligence

Not all skin (or skincare) is created equal. One of the biggest challenges facing skincare consumers today is finding products that work for them--their unique skin type and the unique challenges they face with their skin. And, you won't find it on Google. The one-size-fits-all approach that most skincare and beauty companies take just doesn't deliver the unique skincare solutions consumers need to get their healthiest complexion. This doesn't give individuals the personalization they need.


Should We Be Scared of AI?

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Ron is principal analyst, managing partner, and founder of the Artificial Intelligence-focused analyst and advisory firm Cognilytica, and is also the host of the AI Today podcast, SXSW Innovation Awards Judge, founder and operator of TechBreakfast demo format events, and an expert in AI, Machine Learning, Enterprise Architecture, venture capital, startup and entrepreneurial ecosystems, and more.Prior to founding Cognilytica, Ron founded and ran ZapThink, an industry analyst firm focused on Service-Oriented Architecture (SOA), Cloud Computing, Web Services, XML, & Enterprise Architecture, which was acquired by Dovel Technologies in August 2011.


Artificial Intelligence Implementations in Web Development

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One of the quickest evolving branches in computer science, AI (short for artificial intelligence) focuses on the concept of developing machines and algorithms which are able to simulate human thinking. Even though its implementations were few and far between in the recent past, it has since found its uses in many different areas. The main benefits of AI are related to its learning concept – the more data is fed to it, the more accurate it becomes. This makes it perfect for automated tasks that require precision since they can't get tired or worn out as humans can. On the other hand, its largest con is the high cost of implementation, especially for inexperienced users.


Take a deep dive into AI with this $35 training bundle

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It's not an exaggeration to say that when it comes to the future of human progress, nothing is more important than Artificial Intelligence (AI). Although often thought to only be associated with everyday entities such as self-driving cars and Google search rankings, AI is in fact the driving force behind virtually every major and minor technology that's bringing people together and solving humanity's problems. You'd be hard-pressed to find an industry that hasn't embraced AI in some shape or form, and our reliance on this field is only going to grow in the coming years--as microchips become more powerful and quantum computing begins to be more accessible. So it should go without saying that if you're truly interested in staying ahead of the curve in an AI-driven world, you're going to have to have at least a baseline understanding of the methodologies, programming languages, and platforms that are used by AI professionals around the world. This can be an understandably intimidating reality for anyone who doesn't already have years of experience in tech or programming, but the good news is that you can master the basics and even some of the more advanced elements of AI and all of its various implications without spending an obscene amount of time or money on a traditional education.


An Architecture for Artificial Intelligence Storage

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As we've talked about in the past, the focus on data – how much is being generated, where it's being created, the tools needed to take advantage of it, the shortage of skilled talent to manage it, and so on – is rapidly changing the way enterprises are operating both in the datacenter and in the cloud and dictating many of the product roadmaps being developed by tech vendors. Automation, analytics, artificial intelligence (AI) and machine learning, and the ability to easily move applications and data between on-premises and cloud environments are the focus of much of what OEMs and other tech players are doing. And all of this is being accelerated by the COVID-19 pandemic, which is speeding up enterprise movement to the cloud and forcing them to adapt to a suddenly widely distributed workforce, trends that won't be changing any time soon as the coronavirus outbreak tightens its grip, particularly in the United States. OEMs over the past several months have been particularly aggressive in expanding their offerings in the storage sector, which is playing a central role in help enterprises bridge the space between the datacenter, the cloud and the network edge and to deal with the vast amounts of structured and – in particular – unstructured data being created. That can be seen in announcements that some of the larger vendors have made over the past few months.


These driverless cars in Shanghai form the world's first 'robotaxi' fleet

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While Didi is the first ride-hailing company to roll out a robotaxi service in Shanghai, a few companies launched similar services in other Chinese cities earlier this year. Tech giant Baidu introduced 45 of its robotaxis in the central city of Changsha in March, and Momenta, a startup backed by Baidu rival Tencent, has announced plans for a robotaxi test run in Beijing this fall.