Article | December 21, 2020
Machine learning — a branch of artificial intelligence that gives computer systems the ability to automatically improve and learn from experience — has been making serious waves for the last few years. More recently, though, the applications for smartphones and other small screen experiences have started to take shape, driving the way millions interact with their mobile devices.
Yes, Your Mobile Devices are Becoming Smarter
So what do these innovations means for your business? Machine learning can, essentially, make your smartphone “smarter” by improving a host of functions and processes instantly. In fact, most smartphones are already using some type of machine learning or intelligent automation application that aids mobile devices in becoming more efficient and effective. Predictive text messaging, for example, is one such application that’s already become part of the mobile vernacular — chances are, you use it daily without thinking twice.
As a whole, businesses are ramping up their machine learning investment, meaning we’ll be seeing more of this technology — and more accessible versions of this technology — in the coming months and years. For each generation, there’s an added level of intuitiveness when it comes to mobile technology — your current smartphone is smarter than the computers that helped bring man to the moon, in many ways. From that end, how advanced will our mobile devices be in another 10 or 20 years? Smartphones could be paving the way for Robotic Process Automation (RPA) and evolving the very way many industries work.
What’s Next for Mobile Machine Learning
Historically, machine learning requires a tremendous amount of power — power mobile devices simply didn’t have. However, businesses can now install special chips in drones, automobiles and smartphones enabling them to consume 90 percent less power. As a result, mobile devices — even without an internet connection — can perform a variety of once-complex tasks, including:
Virtual / Augmented Reality
Smarter Camera Functionalities
Improved Device Security
Going forward, envelope-pushers are driving towards even bigger, better, more sophisticated applications — think motion control and navigation, diagnosing and analyzing sensory data and more. Interactivity or perceptual interfaces are also capabilities that the new applications are expected to be equipped with, giving mobile devices seemingly endless capabilities.
Due to these unique benefits, machine learning on small devices is clearly becoming a priority for businesses.
Article | March 4, 2020
A Gartner prediction says 85% of our interactions will be handled by bots by the end of 2020 diminishing the use of human power. Nearly 50% of businesses are planning to invest in chatbots rather than developing mobile apps. Chatbots aren’t new technologies. It has been here since the 1960s and the 1970s. An AI psychotherapist chatbot Eliza that mimicked human suffering with schizophrenia is one of the biggest examples of bot existence. A robot that chats; “hi there, we are here to help you with whatever you need.” This is the kind of typical friendly chatbot you’ll find popping out a traveling site or another site that you’re seeking for information
Article | August 14, 2020
Red Hat is continually innovating and part of that innovation includes researching and striving to solve the problems our customers face. That innovation is driven through the Office of the CTO and includes OpenShift, OpenShift Container Storage and use cases such as the hybrid cloud, privacy concerns in AI, and data caching. We recently interviewed Hugh Brock, research director for the office of the CTO, here at Red Hat about these very topics.
Article | July 26, 2020
Are self-driving cars safe? As the automotive industry moves towards higher levels of automation, it’s important for the answer to this question to always be yes. At TomTom, it’s our vision to create a safe, connected and autonomous world – and a big role in making autonomous driving safer is played by ADAS and HD maps. Maps – ADAS and HD – are one of the four pillars of autonomous driving. Together with onboard sensors, driving policy and actuators, they form the technology that enables automated and autonomous driving. HD maps specifically improve localization to centimeter-level accuracy and sensor perception, which leads to safer path planning by automated driving systems.