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10 Exciting Webinars & Workshops In Machine Learning

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However, one of the ways professionals are keeping up their relevance in their organisations as well as in the industry is by upskilling and learning the latest tools and technologies of this evolving field. Webinars and workshops have always been an excellent way for professionals and enthusiasts to keep themselves updated with the latest trends and technologies. For attendees, these webinars and workshops are not only an easy way to know and train themselves on the latest tools and technologies but also allows them to hear from the best minds of the industry on relevant topics. In fact, for a few years now, large tech companies have been conducting free webinars and workshops, which will not only boosts the community and users at large but also acts as a great marketing tool for advertising their solutions and services. With machine learning being explored in various industries, including healthcare, eCommerce, finance and retail, the possibilities are endless.


How can Artificial Intelligence innovate the way we socialise?

#artificialintelligence

Innovation in everything that we do is being driven by technology, including what we do on the internet. From social networking to our online searches, Artificial Intelligence assumes an undeniably significant role in studying our behaviour on digital media platforms and beyond. The greater part of the decisions we make in our day-to-day lives is mostly guided by AI-driven recommendations on our cell phones, personal assistants, chatbots, social network, or other AI technologies. Over 3.8 billion people are actively scrolling through one or the other social media platform such as Snapchat, LinkedIn, or YouTube at any given point of time. All these people and their conversations, searches, likes, dislikes, and more, are being thoroughly read to enable the machine to comprehend their preferences.


Facebook is releasing a new platform for data collection and benchmarking in AI, using human …

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While machine learning models need a lot of data and computing power, to drive most progress from these models through AI, researchers use …


Pinaki Laskar posted on LinkedIn

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The #AI value chain, 1) AI chip and hardware makers who are looking to power all the AI applications that will be woven into the fabric of organisations big and small globally 2) The #cloud platform and infrastructure providers who will host the AI applications 3) The AI #algorithms and cognitive services building block makers who provide the vision recognition, speech and #deeplearning predictive models to power AI applications 4) Enterprise solution providers whose software is used in customer, HR, and asset management and planning applications 5) Industry vertical solution providers who are looking to use AI to power companies across sectors such as healthcare to finance 6) Corporate takers of AI who are looking to increase revenues, drive efficiencies and deepen their insights The today's AI is presented by what the BigTech and global social media platforms are pushing, it's Narrow /Weak AI /ML /DL, as "Cloud DL/AI Platforms". But this #Machinelearning algorithms are designed to optimize for a cost/loss function, having no intelligence, understanding or reasoning. So it is, Most curve-fitting AI tools available today sold as focused on predicting, identifying, or classifying things, a rote "learning from data/experience".


Can this artificial intelligence program replace writers, journalists and poets?

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Seven years ago, my student and I at Penn State built a bot to write a Wikipedia article on Bengali Nobel laureate Rabindranath Tagore's play "Chitra." First, it culled information about "Chitra" from the internet. Then it looked at existing Wikipedia entries to learn the structure for a standard Wikipedia article. Finally, it summarised the information it had retrieved from the internet to write and publish the first version of the entry. However, our bot did not "know" anything about "Chitra" or Tagore. It did not generate fundamentally new ideas or sentences.


Top 8 Artificial Intelligence Apps For Your Shopify Store

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For many of us, artificial intelligence seems like a distant future where robots will take over our jobs. In reality, AI is already everywhere and many Shopify apps have turned to AI and specifically machine learning to help you work with your data in several different ways. There are currently less than 100 Shopify apps that employ the use of AI for different types of tasks you might need help with from product recommendations to SEO, video creation, and email marketing. We've had an in-depth look at all AI-driven Shopify apps to select 8 of the best ones, each for a different need. Disclaimer: Remember that not all of these artificial intelligence apps will be compatible with your store's settings and theme.


Adobe's 'Liquid Mode' uses AI to automatically redesign PDFs for mobile devices – TechCrunch

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We've probably all been there: You've been poking around your phone for an hour, deep in some sort of Google research rabbit hole. You finally find a link that almost certainly has the info you've been looking for. Now you get to pinch and zoom your way through a document that's clearly not meant for a screen that fits in your hand. Given that the file format is approaching its 30th birthday, it makes sense that PDFs aren't exactly built for modern mobile devices. But neither PDFs nor smartphones are going away anytime soon, so Adobe has been working on a way to make them play nicely together.


Future Tense Newsletter: Make the Future Great Again

Slate

Politics are in the air, like that ominous reddish glow suffocating much of the West in recent weeks on account of all those tragic wild fires. This coming week we get our first presidential debate. A chance for Donald Trump and Joe Biden to shake hands and have a respectful, reasoned exchange of views on the future of the unfairly maligned Section 230 of the Communications Decency Act; the need to reform the Stored Communications Act; the wisdom of replicating Europe's General Data Privacy Regulation; the merits of taking antitrust action against Google for its manipulation of search results or against Amazon for its treatment of third-party sellers on its platform. Maybe we will even see the candidates reflect humbly on humanity's place in the universe, in light of the breaking news from Venus. The debate will probably be all tense, no future--maybe not as heated as a debate between 2016 Lindsey Graham and 2020 Lindsey Graham, but close.


The Future of AI Part 1

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It was reported that Venture Capital investments into AI related startups made a significant increase in 2018, jumping by 72% compared to 2017, with 466 startups funded from 533 in 2017. PWC moneytree report stated that that seed-stage deal activity in the US among AI-related companies rose to 28% in the fourth-quarter of 2018, compared to 24% in the three months prior, while expansion-stage deal activity jumped to 32%, from 23%. There will be an increasing international rivalry over the global leadership of AI. President Putin of Russia was quoted as saying that "the nation that leads in AI will be the ruler of the world". Billionaire Mark Cuban was reported in CNBC as stating that "the world's first trillionaire would be an AI entrepreneur".


iiot bigdata_2020-09-25_03-17-11.xlsx

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The graph represents a network of 1,276 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 September 2020 at 10:21 UTC. The requested start date was Friday, 25 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 17-hour, 36-minute period from Wednesday, 23 September 2020 at 06:09 UTC to Thursday, 24 September 2020 at 23:45 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.