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Technologies in sentence

3116 examples of Technologies in a sentence

Now, Arduino itself is made of a lot of different open-source components that maybe individually are hard to use for a 12-year-old kid, so Arduino wraps everything together into a mashup of open-source technologies where we try to give them the best user experience to get something done quickly.
Today I'm going to show you the flip side of all those technologies that we marvel at, the ones that we love.
What was different this time is the way that the terrorists used modern information communications technologies to locate additional victims and slaughter them.
What could terrorists do today with the technologies available that we have?
The technologies are allowing bigger printers.
As we move forward, we'll see new technologies also, like the Internet of Things.
All of the physical objects in our space are being transformed into information technologies, and that has a radical implication for our security, because more connections to more devices means more vulnerabilities.
Up until this point, all the technologies I've been talking about have been silicon-based, ones and zeroes, but there's another operating system out there: the original operating system, DNA.
The technologies got better, and now DNA sequencing is proceeding at a pace five times that of Moore's Law.
And what the DNA sequencing technologies are allowing people to do now is do detailed studies of, say, 100 patients who have Crohn's disease and 100 people who don't have Crohn's disease.
Studies in model systems like mouse and other animals are also helping do this, but people are now using these technologies because they've gotten very cheap, to study the microbes in and on a variety of people.
These days it's very popular to believe that this push for transparency, this kind of a combination between active citizens, new technologies and much more transparency-friendly legislation can restore trust in politics.
You believe that when you have these new technologies and people who are ready to use this, it can make it much more difficult for the governments to lie, it's going to be more difficult for them to steal and probably even going to be more difficult for them to kill.
Are you not afraid with all these technologies that are going to track down any statement the politicians are going to make on certain issues, are you not afraid that this is going to be a very strong signal to politicians to repeat their positions, even the very wrong positions, because consistency is going to be more important than common sense?
So we started by finding a manufacturer, an organization called MTTS in Vietnam, that manufactures newborn-care technologies for Southeast Asia.
So, similarly, when we think about our partner MTTS, they've made some amazing technologies for treating newborn illnesses.
But as well as being regenerative by design, our economies must be distributive by design, and we've got unprecedented opportunities for making that happen, because 20th-century centralized technologies, institutions, concentrated wealth, knowledge and power in few hands.
This century, we can design our technologies and institutions to distribute wealth, knowledge and empowerment to many.
If we can harness today's technologies, from AI to blockchain to the Internet of Things to material science, if we can harness these in service of distributive design, we can ensure that health care, education, finance, energy, political voice reaches and empowers those people who need it most.
He was caught by dedicated, resourceful, brilliant people in partnerships with various technologies.
So let's explore, through a couple of examples, the impact that technologies built to drive human-computer symbiosis have had in recent time.
We think ultimately, all of this stuff can come together, a new model for mobility, a new model for housing, a new model for how we live and work, a path to market for advanced technologies.
What we saw very quickly is the world of both medical research, but also developing drugs and treatments, is dominated by, as you would expect, large organizations, but in a new field, sometimes large organizations really have trouble getting out of their own way, and sometimes they can't ask the right questions, and there is an enormous gap that's just gotten larger between academic research on the one hand and pharmaceutical companies and biotechs that are responsible for delivering all of our drugs and many of our treatments, and so we knew that to really accelerate cures and therapies, we were going to have to address this with two things: new technologies and also a new research model.
The topic that it's focused on, the question is whether or not all these digital technologies are affecting people's ability to earn a living, or, to say it a little bit different way, are the droids taking our jobs?
So when we look at what technology can do to general knowledge workers, I start to think there might not be something so special about this idea of a generalist, particularly when we start doing things like hooking Siri up to Watson, and having technologies that can understand what we're saying and repeat speech back to us.
Now, Siri is far from perfect, and we can make fun of her flaws, but we should also keep in mind that if technologies like Siri and Watson improve along a Moore's law trajectory, which they will, in six years, they're not going to be two times better or four times better, they'll be 16 times better than they are right now.
And digital technologies are not just impacting knowledge work, they're starting to flex their muscles in the physical world as well.
The steam engine and the other associated technologies of the Industrial Revolution changed the world and influenced human history so much, that in the words of the historian Ian Morris, "... they made mockery out of all that had come before."
Our technologies are great gifts, and we, right now, have the great good fortune to be living at a time when digital technology is flourishing, when it is broadening and deepening and becoming more profound all around the world.
And so if you put together these themes of a narrative or a hypothesis in human testing, right, you get some beautiful results, even when we didn't have very good technologies.
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