Collaborating Authors

Software Developer (Machine Learning)


Must have a Master's Degree (or equivalent) in Computer Science, Engineering (any), Mathematics, or related field, plus one (1) year of IT experience. The one (1) year of IT experience must include experience with: Python, Machine Learning, Deep Learning, Natural Language Programing (NLP), AWS, Docker, Hive, Presto, Postgres, Neo4j, PowerBI, and Spotfire. In the alternative, we will accept a Bachelor's Degree (or equivalent) in Computer Science, Engineering (any), Mathematics, or related field, plus five (5) years of progressive post-baccalaureate IT experience. One (1) year of the five (5) years of progressive post-baccalaureate IT experience must include experience using Python, Machine Learning, Deep Learning, Natural Language Programing (NLP), AWS, Docker, Hive, Presto, Postgres, Neo4j, PowerBI, and Spotfire. All experience may be acquired concurrently.

Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch: Vasilev, Ivan: 9781789956177: Books


In order to build robust deep learning systems, you'll need to understand everything from how neural networks work to training CNN models. In this book, you'll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You'll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. You'll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You'll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs).

Building value-chain resilience with AI


Across industries, value chains are facing increasing uncertainty from climatic anomalies, market volatility, and the COVID-19 pandemic, among other factors. Industries as diverse as agriculture, oil and gas, and mining face essentially the same problem: they need the ability to both run with increased efficiency and recover quickly from unforeseen or unexpected challenges. But these two goals often conflict. If companies simply increase production levels, they'll inevitably run into bottlenecks--and if failures occur that worsen those bottlenecks, the entire network can slow down and become less resilient. For more on how COVID-19 has affected supply chains, see Knut Alicke, Richa Gupta, and Vera Trautwein, "Resetting supply chains for the next normal," July 21, 2020. Resolving this conflict presents several challenges.

What will the Year 2021 do with AI Influencers through Advanced Technologies?


The year 2021 is important because even with the time left one can expect greater presence and visibility of digital influencers not just coming up but'competing' with their human counterparts in brand promotion through advanced technologies such as artificial intelligence. Just like, social media influencers, beauty influencers, influencers who are involved with the promotion of AI products and services are known as AI influencers in 2021. With the cutting-edge competition in brand promotion activities, the influencers, in general, are gaining increasing attention in the artificial intelligence (AI) ecosystem. Before citing the factors responsible for this development, let it be conveyed that the influencers are so-called because of the ability to influence potential buyers of products and/or services by promoting the items on social media. But there is a lot of fluidity about who the influencers are and how they act. There is, in other words, no unanimously accepted criterion/criteria of'influencer' and it very much remains an evolving concept and process.

Who Had the Best--and Worst--Italian Accent in em House of Gucci /em ? A Dialect Coach Dishes About Lady Gaga, Jared Leto, and More.


House of Gucci, in theaters this week, is ostensibly a drama about the family behind the Italian fashion house, but it is soon clear what the movie is really about: accents. It's a showcase for stars like Lady Gaga, Adam Driver, and Al Pacino to test-drive their Italian and Italian-accented English, and critical reactions have been mixed, to say the least: Lady Gaga was slammed by one expert for sounding more Russian than Italian, and Jared Leto earned comparisons to a certain cartoon plumber. How fair is all this grousing? To get an expert's perspective on the matter, Slate spoke to Garrett Strommen, who runs a Los Angeles company that offers language lessons and dialect coaching, among other services. Strommen has worked as a dialect coach and consultant for TV, movies, commercials, video games, and more, and agreed to explain exactly what is going on with Gaga and Leto in House of Gucci. Our conversation has been edited and condensed. Heather Schwedel: Can you tell me about your background with Italian?

What if an All-Knowing Algorithm Ran Traffic and Transit?


A journalist who reports on cities and autonomous vehicles responds to Linda Nagata's "Ride." I like to think of myself as deeply skeptical of the many internet algorithms telling me what I want and need. I turn off targeted advertising wherever I can. I use AdBlock to hide what's left. Most of my YouTube recommendations are for concerts or sports highlights, but I know I'm just a few clicks away from a wild-eyed influencer telling me to gargle turpentine for a sore throat. But I make an exception for the sweet, all-knowing embrace of the Spotify algorithm, to whom I surrender my ears several times a day.

Would You Let a Self-Driving Ride-Share Car Decide Where You're Going?


This story is part of Future Tense Fiction, a monthly series of short stories from Future Tense and Arizona State University's Center for Science and the Imagination about how technology and science will change our lives. A handsome boy, 17 and soft-spoken, told Jasmine about an Easter egg. "Try it," he urged, sincerity in his voice and in his eyes as he gazed at her across the tall front desk. She smiled all day at the hotel's guests, chatting with them when time permitted, listening to their stories. Her role came easily: bright-eyed island girl, young and pretty, a white flower tucked behind her ear. "Ah, your parents are here," she said as the couple emerged from the elevator alcove into the expansive lobby, its glittering perfection empty now of other guests in the lull of early afternoon. The boy waved at them, then turned again to Jasmine. "Give it a try," he exhorted her in a conspiratorial whisper. She didn't want to disappoint those eyes. So she played along, teasing, "I might." It was just a little game, after all. "And if it works for you, then tell someone else, OK? Keep it going." "And how will I know if it works?" He answered with a blissful smile. His parents joined him at the desk. Jasmine wished them all a safe trip home. Her shift ended at 4. Still wearing her uniform--a blue, body-hugging aloha-print dress--she left alone through the employee entrance, sighing at the shock of transition from air-conditioned comfort to the withering heat and humidity of a late-summer afternoon. Out of sight but audible, surf rumbled against the artificial reef. Closer, mynah birds chattered amid the heavy bloom of a rainbow shower tree. After a few minutes, an electric cart rolled up, nearly full with resort employees on their way home.

Why Java is the Most Preferred for Artificial Intelligence -


AI has brought digital transformation into business operations across various industries. It has become a significant part of our lifestyle. We can offer many use cases where Artificial Intelligence simplifies the process workflow, from autopilots for self-driving cars to using robots to handle warehouse jobs, implementation of chatbots in the customer care portals and more. The Artificial Intelligence technology implications for the purpose of business processes in different sectors are enormous. That is why the purpose and need for hiring skilled java developers to build AI-based apps is skyrocketing in recent years.

A Gentle Introduction to Data Augmentation


The quantity and diversity of data are important factors in the effectiveness of most machine learning models. The amount and diversity of data supplied during training heavily influence the prediction accuracy of these models. Hidden neurons are common in deep learning models that have been trained to perform well on complex tasks. The number of trainable parameters grows in unison with the number of hidden neurons. The amount of data needed is proportional to the number of learnable parameters in the model.

Cellphone and tech clues that your partner is cheating on you

FOX News

An easy way to keep two romantic lives separate is to buy two separate phones. That way, the cheater doesn't get confused and text the wrong person by mistake. A second phone is also a liability, even if expressed as a "work" or "emergency" phone. Another technique is to purchase a separate SIM card. Some phones allow you to have two SIM cards but that can be a hassle. A much easier way is to get a Google Voice number that rings on the current phone. In this photo illustration, Apple's iPhone 12 seen placed on a MacBook Pro.