We are now living in a world where we have the most amazing tools and resources to simplify and streamline the process of building a business to leverage our time more than ever. Artificial Intelligence (AI) is now capable of writing content and used to communicate with customers, AI automation can run complete marketing campaigns, so suffice it to say these new technologies can help you create tremendous success in your business and improve your lifestyle. Does that mean this technology guarantees exceptional, infallible results for our business? Some will tell you it is, but here's the thing... All these modern marketing tools are great and definitely have their place, but consider this; the more AI automated your marketing becomes, the less human it can seem, and that is a big mistake.
What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
What the Amazon founder and CEO wants for his empire and himself, and what that means for the rest of us. Where in the pantheon of American commercial titans does Jeffrey Bezos belong? Andrew Carnegie's hearths forged the steel that became the skeleton of the railroad and the city. John D. Rockefeller refined 90 percent of American oil, which supplied the pre-electric nation with light. Bill Gates created a program that was considered a prerequisite for turning on a computer. At 55, Bezos has never dominated a major market as thoroughly as any of these forebears, and while he is presently the richest man on the planet, he has less wealth than Gates did at his zenith. Yet Rockefeller largely contented himself with oil wells, pump stations, and railcars; Gates's fortune depended on an operating system. The scope of the empire the founder and CEO of Amazon has built is wider. Indeed, it is without precedent in the long history of American capitalism. More product searches are conducted ...
This paper provides statistical theory and intuition for Personalized PageRank (PPR), a popular technique that samples a small community from a massive network. We study a setting where the entire network is expensive to thoroughly obtain or maintain, but we can start from a seed node of interest and "crawl" the network to find other nodes through their connections. By crawling the graph in a designed way, the PPR vector can be approximated without querying the entire massive graph, making it an alternative to snowball sampling. Using the Degree-Corrected Stochastic Blockmodel, we study whether the PPR vector can select nodes that belong to the same block as the seed node. We provide a simple and interpretable form for the PPR vector, highlighting its biases towards high degree nodes outside of the target block. We examine a simple adjustment based on node degrees and establish consistency results for PPR clustering that allows for directed graphs. We illustrate the method with the Twitter friendship graph and find that (i) the adjusted and unadjusted PPR techniques are complementary approaches, where the adjustment makes the results particularly localized around the seed node and (ii) the bias adjustment greatly benefits from degree regularization.
Artificial Intelligence (AI) job recruitment is growing at an accelerated rate. This was the substance of what I shared with host Cisco Cotto during my appearance on CBS Radio affiliate WBBM News Radio 780 on Thursday, September 12, 2019. Please click here to listen to my segment in its entirety. Below are the questions Cisco asked me as well as my responses in italics. I hope you enjoy this.
This is incredibly non trivial, and to be honest, without an understanding of Natural Language Processing, Computer vision, audio generation and voice recognition, I would be hesitant to try this. Your training data would have to be footage of old games along with the commentators voices. You would need to create a mapping of footage to comments using computer vision and voice recognition. Then you could use this mapping to generate comments for your game based on the visuals, which would then need voice generation to create your commentators audio. Even if you spent an incredible amount of time on this it still would not be perfect as much of the comments given by real commentators would be dependent on knowledge of the world ie: the teams histories, the players, the event itself ect ect.
This article was written by a human being who click-clacked on a keyboard until she finished a draft and sent it to an editor. But more and more, computers are taking over. In fact, the Associated Press has used "automation technology" to cover college sports since 2015. The idea isn't new--humans have obsessed over artificial intelligence (AI) since at least the 18th century, when the "Mechanical Turk" hoax led many to believe that a machine could play chess against a person and win. About 250 years later, a machine can play chess against a person and win--every time.
The future is here -- and it looks like Nicolas Cage. Some online users are taking a new kind of artificial intelligence technology and using it to insert the hammy actor into films and TV shows he didn't actually star in -- basically into anything and everything they can imagine, from classic James Bond films to scenes from "Game of Thrones." Reddit users began posting about and running with the idea on Thursday after one wondered how long it would be before the AI technology, which has already been put to more unscrupulous uses, was used to create a "full Nic Cage movie." "That's actually a very very good idea," another Reddit user responded. While humorous, the clips point to the growing sophistication of the technology -- and its potential uses, both good and bad.