Article | August 12, 2020
Get to know Klas and his story! With strong background in change and product management in IT, Klas Erikson started at Nordcloud as a Cloud Advisor and is nowadays heading Nordcloud’s delivery and operations in Sweden, Norway and Denmark from our Stockholm office. Where are you from and how did you end up at Nordcloud? I am from Stockholm, Sweden and have been working most of my career in Telia here in Stockholm. I left Telia after the organisation had, yet another time, changed and I felt I needed to try something completely different. I had already started talking with my old colleague working for Nordcloud and was fascinated by a company in such fast growth.
Article | March 1, 2020
NVIDIA is helping the transportation industry by giving it access to its deep neural networks (DNNs) for autonomous vehicles. NVIDIA is providing access to its AI (artificial intelligence) model and introducing advanced training tools. This helps the company to strengthen its end-to-end platform for autonomous vehicle development and, eventually, deployment. Automakers and other companies that develop autonomous vehicles (AVs) on the NVIDIA GPU Cloud container registry will get access. NVIDIA DRIVE is pretty much the standard for the development of autonomous vehicles. It is used by automakers, truck manufacturers, and robotaxi companies along with related software companies and universities.
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 | February 10, 2020
Certain programming skills are always in demand—even among cybercriminals. Recently, an underground Russian forum known as XXS held a competition that sought to give away $15,000 in cash prizes to cybercriminal developers who could write an article or develop a proof-of-concept video on different topics, including searching for zero-day and one-day vulnerabilities and exploiting them, developing crypto algorithms, and how best to conduct an advanced persistent threat attack, according to an analysis conducted by security firm Digital Shadows.