In 2018 we are all living in a world where almost everything is becoming connected, whether it’s the power grid, network, phone system, our cars, or the appliances that heat our home or chill our food. As this Internet of Things (IoT) continues to proliferate. This growing class of cloud-connected devices – 9 billion of which ship every year – run tiny MCU chips that will power everything from kitchen appliances and toys to industrial equipment on factory floors. This next wave of connected devices is in increasingly intelligent and connected. They will improve daily life in countless ways, but if they’re not secure, they will make people, communities and countries vulnerable to attack in more ways than ever before.
As s result of this the Threat and security risks expand exponentially. At this year RSA conference in San Francisco, Microsoft announced new offerings to take security more squarely to where it needs to go and where it has not effectively gone before – the edge.
The Azure Sphere Services are a new services and features that will better harden not only our intelligent cloud but also the billions of connected devices that live on its edge.
Despite the phenomenal rise in computing over the last 50 years, the birth of the internet, and our ever increasing reliance on technology, women are still not engaging with computer science at the same rate as men.
This has been outlined in a recent report from the University of Roehampton, which reveals that only 9% of girls schools offer computing at A-level, compared with 44% of boys schools, and 25% of mixed-sexsixth forms and colleges.
The report shows that in 2016 only a minority of schools (29%) entered pupils for GCSE computing – despite it being a foundation subject on the national curriculum. The figure is even lower at A-level, with only 24% of schools entering their students for the qualification.
Things don’t fair any better in further education either, with the Digest of Education statistics revealing the percentage of females who took an undergraduate degree in computer science in 1970-71 was 14%. This rose to 37% in 1983-84 but gradually declined to 18% in 2010-11.
Over the past few years, the term “deep learning” has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics. And with good reason – it is an approach to AI which is showing great promise when it comes to developing the autonomous, self-teaching systems which are revolutionizing many industries.
If you have an interest in teaching and learning, particularly within the context of tertiary education, this journal is worth following.
The International Journal for the Scholarship of Teaching & Learning is an open, double-blind peer reviewedelectronic journal published twice per year by the Centers for Teaching & Technology at Georgia Southern University. The journal is an international forum for information and research about the scholarship of teaching and learning (SoTL) and its implications for higher/tertiary education.
Anchored in inquiry and engagement, the scholarship of teaching and learning re-conceptualizes teaching as an ongoing and scholarly process with an emphasis on bringing about improved student learning (Huber & Morreale, 2002). SoTL is a key way to support the continuous transformation of academic communities and cultures.
Fancy trying to create for a digital assistant? Microsoft have release a new Skills Kit and SDK for Cortana.
We believe that everyone deserves a personal assistant. One to help you cope as you battle to stay on top of everything, from work to your home life. Calendars, communications and commitments. An assistant that is available everywhere you need it, working in concert with the experts you rely on to get things done.
You can’t live without innovation. It’s why you’re in business. But as you grow, innovation also becomes a threat. It threatens to disrupt your existing business model, products, and services. It threatens to upset your customers, who have become accustomed to a certain way of doing things. It threatens your partners and employees, who have developed expertise in the way things currently work. That’s the real reason innovation is so hard. While we espouse its values, we also build defenses against it.
I call these the innovation killers. The innovation killers are almost always neatly disguised as protectors of the organization. Few people use these behaviors to try to kill innovation outright. Their intentions are always good ones: to minimize risk, to deliver predictability and operational excellence, and to satisfy market, customer, and analysts’ expectations. The innovation killers are staffed with armies of well-intentioned corporate citizens, ready to defend their turf and keep innovation at bay, lest it disrupt the certainty of the status quo.
“The innovation killers are almost always neatly disguised as protectors of the organization.”
Guess what? If you’re looking for certainty, you’ve picked the wrong century. Get used to it, and get familiar with this list of seven innovation killers. These are the weeds that threaten to choke your garden; when you see them, pull them out by their roots.
There was a time when knowing how to program was for the geekiest of geeks. That’s not exactly the case today. As most entrepreneurs, freelancers and marketers will tell you, learning how to program can help you succeed.
Over the past few years, the term “deep learning” has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics. And with good reason – it is an approach to AI which is showing great promise when it comes to developing the autonomous, self-teaching systems which are revolutionizing many industries.
