AutoML enjoys a steadily increasing popularity (see Forbes). Not least driven by the numerous successes in practical analyses. In a world in which more and more devices produce data and are networked with each other, the data "produced" grows disproportionately. Therefore AutoML is of urgent necessity to gain knowledge from these rapidly increasing data on time. We assume that AutoML becomes even more critical in the coming years and that the analysis methods deliver even more precise and faster results. The field of activity of the data scientist will not disappear, but rather, his focus will shift to more specific or sophisticated analysis techniques.
Deepfake audio technology is becoming incredibly convincing, so much so that Jay-Z apparently took legal action against an AI-powered impersonation of him this year. Eminem is the latest rapper to receive the deepfake treatment, and in a new digitally fabricated song, he goes after Facebook founder Mark Zuckerberg. The video was created by YouTube channel Calamity AI in partnership with another YouTuber, 30HZ. Calamity AI explains the song, "An Eminem diss-track written by Artificial Intelligence. We inputted the title'Mark Zuckerberg Diss in the Style of Eminem' and let the A.I. write the rest. From there, we sent the lyrics to 30HZ, who synthesized and created the vocals. The audio was not record by Eminem."
'AI can make the world better, safer, healthier, with more social innovations, not just for a few of us, but for ALL OF US!' Amazing Mark Minevich, President of Going Global Ventures and one of the biggest AI enthusiasts we ever met, gave a great talk to our virtual audience at Wonderland AI Summit 2020. If you missed Mark's presentation, here is a chance to find out how the future and society look like from Mark's perspective.
The web may not be the largest thing to run on the internet (these days it seems like Zoom is) but it was the most transformational until mobile apps came along. You can follow the waves by developer interest: in the 2000s everyone was learning HTML and making a website. In the 2010s everyone was learning to develop mobile apps. In the 2020s all the developers are going to build Vision AI. Where the web had its impact was by digitizing manual paper-based processes.
The graph represents a network of 2,713 Twitter users whose tweets in the requested range contained "iot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 18 November 2020 at 12:51 UTC. The requested start date was Wednesday, 18 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 4-day, 14-hour, 40-minute period from Friday, 13 November 2020 at 10:20 UTC to Wednesday, 18 November 2020 at 01:01 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
The graph represents a network of 1,033 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 20 November 2020 at 12:20 UTC. The requested start date was Friday, 20 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 17-hour, 40-minute period from Tuesday, 17 November 2020 at 06:56 UTC to Friday, 20 November 2020 at 00:37 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
"A central focus of Facebook's AI efforts is deploying cutting-edge machine learning technology to protect people from harmful content," Schroepfer said. Facebook has taken pains to get up to speed on machine learning, where algorithms improve automatically through experience, to complement the thousands of content moderators it employs worldwide to police posts, photos and videos get shared on its platforms. But that hasn't stopped withering criticism over the ability of Facebook, Twitter Inc. TWTR, 2.43%, Alphabet Inc.'s GOOGL, -1.26% GOOG, -1.23% YouTube, and TikTok to keep a lid on racial slurs and religious attacks, especially in an overheated election year. In its briefing Thursday, Facebook said it has deployed two new AI technologies: "Reinforced Integrity Optimizer," which learns from real online examples and metrics instead of an offline dataset, and "Linformer," which lets the company use complex language understanding models that were previously too large and unwieldly to work on a wide scale. Facebook said it has also developed a new tool to detect deepfakes, computer-generated videos that appear to be real.
To cover the complete interview process, I have divided this post into separate events based on the timeline. This will help you to evaluate the process and preparation time required for each stage of the interview better. If you are looking to interview for a similar position, it is important to evaluate the profiles which get picked for the interview process. Now, I don't know exactly how my profile stood in the pool of candidates, but I am sharing my resume as a sample profile that got picked for such interviews. As you can see, I had completed 4 years of my Ph.D. by this time, publishing majorly in the areas of Machine Learning, Data Visualization, and Computer Vision.
Researchers in China say they've created sarcasm detection AI that achieved state-of-the-art performance on a dataset drawn from Twitter. The AI uses multimodal learning that combines text and imagery since both are often needed to understand whether a person is being sarcastic. The researchers argue that sarcasm detection can assist with sentiment analysis and crowdsourced understanding of public attitudes about a particular subject. In a challenge initiated earlier this year, Facebook is using multimodal AI to recognize whether memes violate its terms of service. The researchers' AI focuses on differences between text and imagery and then combines those results to make predictions.
Google this week unveiled a major redesign of Google Pay for Android and iOS. The app is meant to take on not just Apple Pay and Samsung Pay, but also PayPal, Venmo, and Mint all in one. Google also announced partnerships with 11 U.S. banks and credit unions to launch a mobile-first bank account service called Plex next year. Just like with health care, tech companies are becoming increasingly interested in banking. More competition in an industry that still hasn't embraced the internet, let alone the latest tech like artificial intelligence, is exciting.