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There is no bigger industry on our planet than food and agriculture, with a consistent, loyal customer base of 7 billion. In fact, the World Bank estimates that food and agriculture comprise about 10% of the global GDP, meaning that, food and agriculture would be valued at about $8 trillion globally based on the projected global GDP of $88 trillion for 2019. On the food front, a record $1.71 trillion was spent on food and beverages in 2018 at grocery stores and other retailers and away-from-home meals and snacks in the United States alone. During the same year, 9.7% of Americans' disposable personal income was spent on food -- 5% at home and 4.7% away from home -- a percentage that has remained steady amidst economic changes over the past 20 years. However, despite a stalwart customer base, the food industry is facing unprecedented challenges in production, demand and regulations stemming from consumer trends.

A voice-controlled robot that can make you perfect grilled cheese sandwiches on demand has been created by a team of students in the US. 'Cheesborg' is the brainchild of engineer Tayor Tabb, 24, and colleagues, who created the toastie maker at Carnegie Mellon University in Pittsburgh, Pennsylvania. The process begins with a voice command to a connected Google Home smart assistant. The cheesy contraption uses a vacuum to begin to assemble the sandwich -- loading two slices of bread and one slice of cheese onto its conveyor belt. Next, the conveyor moves the ingredients into a sandwich press and closes the lid ready for grilling.

Description: A down-to-earth, shy but confident take on machine learning techniques that you can put to work today.

Zafer Demirkol is the author of 10 books on programming. His latest book is "Coding for Kids". In recent years he has been working on artificial intelligence. He develops artificial intelligence content and programmatic tools, especially for children and beginners. He also provides coding and artificial intelligence training for children.

Bottom Line: The stronger a CHRO's and companies' AI digital dexterity skills, the stronger they are at overcoming talent management challenges they're facing today. For HR leaders to excel at improving AI digital dexterity skills across their organizations, they need to learn from the shortcomings of existing Learning & Management systems that continue to have dismal adoption. First, all employees, especially Millennials and Gen Z, need to understand "Why" they should invest the time to take certain classes, courses, and what's in it for them after they have learned those skills. Second, employees want to learn about AI in a self-service mode, where they have greater control over the pace, review, and mastery of each lesson. Third, self-service learning tailored to employees' learning preferences has proven to be more effective than them participating in classes led by HR team members who themselves may not be aware of all the available options.

Abstract: The deployment of AI is truly transformational when it impacts the core business tasks and processes of the enterprise. For this reason, most organizations should only undertake AI initiatives with strategic impact potential. Experience shows that AI transformation programs achieve better results if organized in successive iterations of projects that implement high-value or even disruptive use cases. If managed properly, each project will create momentum and elements that will accumulate until critical mass is achieved. This iterative bottom-up approach is the most effective and realistic way of facing the daunting task of achieving the required AI proficiency within a reasonable time and cost.

Drone point of view of a Tractor spraying on a cultivated field. What does the future hold for machine learning/AI within the agricultural sector? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. From the food we eat to the clothing we wear and the gasoline in millions of cars, agriculture touches our daily existence like few other industries. This year alone, we've experienced several major supply shocks--including massive flooding in the American Midwest, a trade war, and the outbreak of serious crop and animal diseases in China--all of which highlight just how unpredictable the system is. Fortunately, we've also reached the point where there are nearly infinite amounts of data available to understand and forecast the complex interplay between global agricultural markets.

This article was contributed by Vincent Brissot, Head of Digital Automation & Channel Operations at HP. When you think of Artificial Intelligence (AI), it's easy to imagine Jarvis from Iron Man, or any of the lovable droids from the Star Wars universe. Sometimes, you may even think of AI villains, like Skynet from the Terminator series, or HAL 9000 from Stanley Kubrick's 2001: A Space Odyssey. AI has long been a tool only seen in science fiction stories, but now it is a reality and its transforming the way we live. From autonomous vehicles to cashier-less shops, robot tutors to robo-advisors, it's safe to say that society is quickly embracing its automated future.

Artificial intelligence (AI) systems can be used to improve collaborative learning and enhance the learning experience for students. Many educators and other experts have found flaws in the current education system. These experts have claimed that the present curriculum fails to focus on relevant life skills that can help in the personal development of students. One of these life skills is communicating and collaborating with other people. Such skills can be taught with the help of modern technologies like AI. Educators are already using AI in education to improve the learning experience.