At Nearpod, we believe teaching is the most important job in the world. Every day, we reach students through our learning platforms on Nearpod.com and Flocabulary.com. We have diverse backgrounds, but a shared goal of putting teachers and students first in everything that we do. We have won numerous awards including EdTech Digest's 2018 Company of the Year. Recently, we were acquired by Renaissance to support the shared mission of accelerating learning for all.

ENGLAND: Two autonomous, delivery robots pass on the pavement as they make home deliveries of ... [ ] groceries. Created by two of the co-founders of Skype in 2014, Starship has developed the self-driving pods for various, logistical tasks. Much more complicated than originally thought. Several manufacturers expected the first self-driving cars to hit the market 3-4 years ago. In fact, Johann Jungwirth of Volkswagen met with Focus Magazine in April of 2016 amongst beanbags, blue suede shoes and skateboards to report the first autonomous vehicles (AVs) will be on the market by 2019.

Ford said Tuesday it will delay until 2022 plans to launch an autonomous vehicle service, as the COVID-19 pandemic has prompted the company to rethink its go-to-market strategy. The news was shared as part of Ford's quarterly earnings, which was released after the market closed Tuesday. Ford reported a $2 billion loss in the first quarter compared to a profit of $1.1 billion in the same period last year. The company warned that losses during the second quarter will widen as the COVID-19 pandemic continues to disrupt its business. Ford is a bit different from other companies that have launched autonomous vehicle pilots in the United States.

The drive to digitize work tasks with software-based'robots' could allow some people to work ... [ ] better. Every technology company wants a slice of the Artificial Intelligence (AI) pie. More accurately, every tech company wants to show that it has a healthy AI development stream bringing the benefits of Machine Learning (ML) to bear across its software stack. A key part of that artificial (and real) intelligence quotient today is focused on so-called Robotic Process Automation (RPA). As a practice, RPA is focused on being able to automate a user's most repetitive computing tasks.

The drive to digitize work tasks with software-based'robots' could allow some people to work better. Every technology company wants a slice of the Artificial Intelligence (AI) pie. More accurately, every tech company wants to show that it has a healthy AI development stream bringing the benefits of Machine Learning (ML) to bear across its software stack. A key part of that artificial (and real) intelligence quotient today is focused on so-called Robotic Process Automation (RPA). As a practice, RPA is focused on being able to automate a user's most repetitive computing tasks.

The self-driving taxi could ultimately take the global auto industry on a wild ride. Our use-case approach reveals why. Personal mobility could change profoundly in the next two decades. Consumers, who increasingly view mobility as a service, want more choices for traveling between points A and B, including ride hailing, car sharing, and perhaps even self-driving "robo-taxis." For automakers, the proposed changes could replace the industry's traditional emphasis on "moving metal" with new schemes to capture greater profits per mile or per trip.

Artificial Intelligence and machine learning is quickly transforming how product development and marketing teams strategize. As Forrester predicts a 300% increase in AI investments in 2017, those that embrace it will set themselves apart as leaders while those that do not struggle to create a unified customer experience.

Due to record-pace globalization, today's product development and marketing teams now face challenges that could only be imagined 10 years ago. And for global companies, the most productive solutions to these challenges are surpassing human brain power. Artificial Intelligence (AI) isn't a singular technology, but rather a category of technologies and tools that global companies are increasingly relying on for competitive advantage. One of these is machine learning. But what precisely is machine learning, and how does it differentiate from the umbrella of AI? Here's some data to help you decide which solution is best for your go-to-market strategy.

If you're betting on Silicon Valley stars like Google, Tesla, and Uber to free you from your horrorshow commute with autonomous driving technology, don't. That's the key takeaway from a new report that finds Ford--yes, the Detroit-based, 113-year-old giant--is winning the race to build the self-driving car, with General Motors running a close second. Meanwhile, Waymo--aka Google's driverless car effort--sits in sixth place, with Tesla in twelfth. Uber languishes in sixteenth, behind Honda and barely ahead of startup Nutonomy and China's Baidu. That may sound all kinds of wrong to anyone who has seen Uber, Waymo, and Tesla flaunt their tech, and regards Detroit's old guard as ill-prepared for the robotic future.