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The Journey of AI & Machine Learning

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Imtiaz Adam, Twitter @Deeplearn007 Updated a few sections in Sep 2020 Artificial Intelligence (AI) is increasingly affecting the world around us. It is increasingly making an impact in retail, financial services, along with other sectors of the economy.


LinkedIn's 50 Best Startups To Work For In 2020

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These and other insights are from LinkedIn's Top Startups 2020: The 50 U.S. companies on the rise published today. This is the 4th annual LinkedIn list of the hottest startups to work for. The list is determined by the billions of actions taken by LinkedIn's 706 million members. The annual list is a reflection of how business and work is evolving through the pandemic, what industries are emerging and growing and where people want to work now, reflecting the current state of the economy and the world. Even in the face of Covid-19, the startups on this year's list are all still innovating and experiencing growth and the majority of the companies on the list are currently hiring, with 3,000 jobs now open on LinkedIn. To be eligible for the list, a company must be independent and privately held, have at least 50 employees, be seven years old or younger, be headquartered in the country on the list which they appear and have a minimum of 15% employee growth over the time period. The top 50 U.S. startups include the following: Full-time headcount: 4,000 Headquarters: New York City Year founded: 2016 What you should know: While the U.S. economy quickly sank into a recession at the start of the pandemic, one of its engines has been roaring: housing.


Can artificial intelligence encourage good behaviour among Internet users?

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Hostile and hateful remarks are thick on the ground on social networks in spite of persistent efforts by Facebook, Twitter, Reddit and YouTube to tone them down. Now researchers at the OpenWeb platform have turned to artificial intelligence to moderate Internet users' comments before they are even posted. The method appears to be effective because one third of users modified the text of their comments when they received a nudge from the new system, which warned that what they had written might be perceived as offensive. The study conducted by OpenWeb and Perspective API analysed 400,000 comments that some 50,000 users were preparing to post on sites like AOL, Salon, Newsweek, RT and Sky Sports. Some of these users received a feedback message or nudge from a machine learning algorithm to the effect that the text they were preparing to post might be insulting, or against the rules for the forum they were using.


daviddao/awful-ai

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Infer Genetic Disease From Your Face - DeepGestalt can accurately identify some rare genetic disorders using a photograph of a patient's face. This could lead to payers and employers potentially analyzing facial images and discriminating against individuals who have pre-existing conditions or developing medical complications.


How can Artificial Intelligence innovate the way we socialise?

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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.


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.