Technologies in sentence

3116 examples of Technologies in a sentence

If you look at the 20th century, so, the technologies of the Industrial Revolution, the trains and electricity and all that could be used to create a communist dictatorship or a fascist regime or a liberal democracy.

Can we harness these same technologies for an emotionally sensitive output?

We use the same technologies that are used in Lean and Six Sigma in the military, and we bring them out and talk about what went right, but more importantly, we talk about what didn't go well, and how we're going to fix it.

And these tools, they don't require that you raise additional funds or that you develop any more fancy technologies.

Today, I'd like to make a case for curiosity-driven research, because without it, none of the technologies I'll talk about today would have been possible.

As new life-saving technologies are created, we're going to have really complicated decisions to make.

These technologies often save lives, but they can also prolong pain and the dying process.

The theory not only shattered our previous understanding of reality but would also pave the way for technologies, ranging from particle accelerators, to the global positioning system.

Our new technologies are opening up many other novel ethical dilemmas.

I've spoken to people from all different industries about how they can treat their core technologies like colleagues.

And when I did this, people I spoke to could actually visualize their technologies as coworkers, and they could ask things like: "Is this software reporting to the right person?" "Does this man and machine team work well together?"

At Bovingdons, the operations director was interacting with five technologies.

Now, he told me that he'd always felt overwhelmed by his job, but it wasn't until our conversation that he thought it might be because of the technologies he was overseeing.

So in the same way, we talked about moving some of the technologies to report to someone else, like the food inventory to go to the chef.

Studies have shown that people who work in organizations that encourage them to talk about and learn about the technologies in the workplace have 20 percent lower stress levels than those in organizations that don't.

And I also thought about suggesting to our recruiting team that some of the technologies we work with every day should come with us on our big recruiting events.

If you were a university student, how cool would it be to not only get to know the people you might be working with, but also the technologies?

Now, all of this begs the question: What have we been missing by keeping the technologies that we work with day to day invisible, and what, beyond those billions of dollars in value, might we be leaving on the table?

It will take a matter of minutes for most people to draw out a structure of who they work with, a little bit longer to add in the technologies to get a view of the entire team, and then you can have fun asking questions like, "Which are the technologies that I'll be taking out for coffee?"

I did it because the critical skill in the 21st-century workplace is going to be to collaborate with the technologies that are becoming such a big and costly part of our daily working lives.

So let's all share a bit of humanity towards the technologies and the softwares and the algorithms and the robots who we work with, because we will all be the better for it.

We have real, workable technologies and practices that can achieve drawdown.

And if we think about some of the technologies that are coming down the pike ... Noriko [Arai] mentioned that reading is not yet happening in machines, at least with understanding.

Natural technologies have incredible constraints.

Well, I would argue that human technologies are really different from natural technologies, at least they have been so far.

Human technologies have tended to be large, flat, with right angles, stiff, made of metal.

You know, even the technologies and the digital initiatives that we have to promote humans, are intensely anti-human at the core.

So now they're going to let these technologies be as humane as possible, as long as they extract enough data and extract enough money from us to please their shareholders.

But Todai Robot chose number two, even after learning 15 billion English sentences using deep learning technologies.

To do this, we're going to need three technologies to be good enough, and none of them are there yet.

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