As artificial intelligence, or AI, moves further and further into a future we only dared to dream of before, we now have to find ways to coexist with our robot counterparts.
The robots are shaping up to adapt to our nature in a way only other humans could previously do. Now, we might have robots that are advanced enough to feel the tension in a room.
Chipotle's recent experiments with allowing artificial intelligence (AI) to handle some elements of phone orders seem to have met the chain's expectations.
After initially launching the option at 10 locations, it rolled out the technology to 1,800 restaurants. Now, Chipotle intends to bring the high-tech system to all its branches by the end of 2019.
Ever since computers were invented, people have made up stories about how they'd one day become smarter than the humans that made them. While that seemed impossible with the first mega computers that had limited functional capabilities, the idea of an independent computer system is becoming more real with the development of AI.
AI, also known as artificial intelligence, has captured the fascination of people around the world. If it's developed correctly, it could be the next major technology transformation that the world undergoes. It would help many people and change lives, so what progress is being made? Recently, the Brain Simulator II was announced as a major step forward in the advancement of AI. Read on to learn more about this program and what it means for the tech community.
There's been a fear of automation in the workforce as far back as work has existed. Machines taking jobs away from the people who need them has been and will continue to be a source of anxiety for many.
Though it may seem like a reasonable fear, it's far from reality. Yes, machines are capable of a growing number of increasingly complex tasks, but not every job is at risk of disappearing. Machines can handle menial labor and difficult calculations, but work that requires critical thinking skills is impossible to automate. Things might be different in the movies, but the machines that exist in real life learn through patterns and repetition. There are some jobs where automation doesn't enter the picture at all. So where's the line?
Data center environments must stay consistent regarding things like humidity and temperature. Otherwise, the costly equipment inside them could begin malfunctioning. Moreover, data center clients want assurances that the valuable information stored within a facility will be available whenever they need it, and maintaining consistency comes into play there, too.
Here are four ways machine learning and artificial intelligence (AI) are upending data center management.
Primary schools, universities, companies and even all the rest of us have a role to play in preparing for the rise of AI in the workforce. So what can we do to make sure people are still employable as AI starts becoming more common in business settings?
Let's take a look at the work ahead of us.
When people decide to install home automation systems and also have security alarms they installed several years ago, it's highly likely the new tech and old gadgets won't be compatible.
Similarly, if they have a security system that doesn't work with a smartphone app, they typically have to invest in new hardware and deal with lengthy installations and high bills.
Back in 2015, Shell launched an artificial intelligence-powered assistant for their lubricant service customers. Represented by digital avatars Emma and Ethan, the assistant assists customers with lubricant-related questions and concerns. It’s available around the clock, which means people can reach out at any time of the day or night and receive answers in seconds.
Shell claims that the assistant can handle over 100,000 data sheets for 3,000 products, and understands 16,500 physical characteristics of lubricants. The technology can also provide detailed information to customers about more than 18,500 pack sizes.