Open source vendor SUSE is getting out of the OpenStack business, the company says.
The decision is part of a shift in company strategy from infrastructure enablement to enabling application delivery, the company said in a blog post announcing the decision Wednesday.
The blog post quotes IDC analyst Al Gillen, who says “applications and experiences, rather than … infrastructure deployments,” are key to differentiation. SUSE’s decision “moves the company’s value-add higher up the technology stack, to a level where customers want and need tools that empower them to achieve differentiation,” Gillen says.
The 5G equipment deals between some of Europe’s operators and the world’s big vendors may have to be torn up and renegotiated under future European Union (EU) rules.
The European Commission has given a strong signal it will not stand for any 5G networks that are heavily dependent on a single supplier. In a risk assessment published this week, the Commission warns that a lack of diversity would make 5G infrastructure more vulnerable — especially if there are already risks associated with the supplier in question.
Although Norway is not a part of the EU, the Commission’s report turns an uncomfortable spotlight on the deal announced this week between Telia Norway and Ericsson, under which the Swedish vendor will take full control of that operator’s radio access network (RAN) in the next four years.
Other telcos with potentially risky arrangements include Three UK, the smallest of the UK’s four mobile network operators, and Telecom Italia.
We take a closer look at growing concerns over the steady decline of technology reliability and safety. The list of examples keeps growing, ranging from aircraft navigation software to consumer products bursting into flames and injuring their owners.
How did we reach this state of affairs? Some point to lax regulation, others cite “cultural laziness” borne of buggy software releases that result in endless patches.
Have engineering principles like built-in redundancy in mission-critical systems been compromised by market pressures?
Northrop Grumman and its wholly-owned SpaceLogistics subsidiary sent the industry’s first on-orbit servicing satellite life-extension spacecraft, the Mission Extension Vehicle-1 (MEV-1), into Supersynchronous Transfer Orbit (SSTO) on an International Launch Services (ILS) Proton Breeze M rocket, the companies announced Oct. 9.
MEV-1 will dock to client vehicles in Geosynchronous Orbit (GEO) to provide attitude and orbit control of the combined vehicle stack. MEV-1 has the ability to dock and undock several times during its 15 year design life, allowing it to service multiple customers.
Digital Twin technology has emerged as a potentially powerful tool for implementing automation and control applications. The technology offers a new approach that promises to enable model-based machine development.
At the most recent ODVA Technical Conference, Todd Snide and Merrill Harriman of Schneider Electric delivered an excellent paper on this topic describing the digital twin as the “cyber” part of Cyber Physical Systems.
The idea is that the “digital twin” (a combination of software, hardware and communications) is “a representation of a physical entity indicating an ideal or object state of that entity, in constant comparison with its actual conditions.”
Built-into millions of smart speakers, smart devices and smartphones across the globe, MEMS are securely ensconced in the smart home, and Internet giants such as Alibaba, Google and Amazon will continue to drive demand as they invest in smart cities, smart medicine, smart buildings — smart everything.
The MEMS market, which follows the semiconductor market, is holding up. It amounted to $11.6 billion in 2018 and is expected to exhibit an 8.2% growth in value and an 11.9% growth in units up to 2024, according to Yole Développement (Lyon, France).
NXP Semiconductors rolled out this week a new deep learning toolkit called eIQ Auto. NXP is seeking to set itself apart from competitors by making its tools “automotive-quality.” NXP’s goal is to make it easier for AV designers to implement deep learning in vehicles.
The development of autonomous vehicles (AV) does not necessarily require either artificial intelligence or deep learning. Simply put, not all AVs need to be AI-driven. And yet the rapid advancements and improved accuracy of deep learning are alluring to developers seeking to improve their highly automated vehicles.
Moving into a digital economy with satellite at the forefront was one of the key themes to come out of SatComRus 2019, which was held in Saint Petersburg. One of the morning speakers was Igor Chursin, deputy head of Russia’s federal communications agency, who gave the Russian government perspective on the changing environment for satellite communications in Russia.
Chursin said Russia stood at the threshold of digital convergence and a digital economy. He called it a “top priority” for the government and said the development of satellite communications in IT infrastructure was seen as “very important.”
“Data Science and Visual Computing” is a reference guide on how to deal with big data.
We are awash in data. We know it, but it’s like the weather — we can’t manage it. We are struggling to get a grip on it, understand it, use it and exploit it, but it is being generated faster than we can harness it. Data has always been available to us; the difference now is that it’s all (or most of it) in digital form, and therefore easily to store. And we are storing it — saving every last bit, it seems.
The data comes from credit card transactions, the sale of everything and anything you can think of, remote sensors and the Internet of things, simulations, scientific experiments, monitoring of business processes, security data, social media, recording devices and more.
Global data are increasingly complex and heterogeneous, and are predicted to rise to over 100 zettabytes — that’s the equivalent of 10 billion PC disk drives. 10 billion.