It’s likely you have multiple interactions with AI on a daily basis that you aren’t even aware of. Artificial intelligence has embedded itself in some of the most widely-used consumer technologies on the planet without many consumers even noticing. That being said, it should come as no surprise artificial intelligence is infusing modern office spaces with enhanced capabilities as well.
Representatives from countries around the world met on Nov. 18 to discuss weapons systems at the United Nations’ Convention on Conventional Weapons (CCW). One point of particular interest at the meeting was a call by 22 nations to place an outright ban on the development and utilization of automated weapons, also known as “killer robots.”
Leading up to the convention, hundreds of experts in the field of artificial intelligence (AI) and robotics joined in sending letters to world leaders, urging them to support a ban on autonomous weapons.
AI has the power to make decisions on our behalf and the world is getting excited. But there’s always that nagging question: Who will be the servant and who will be the master? Should we approach AI from a completely different angle? Should we actually hand over control at all and let the AI make its own decisions?
We’d previously written an opinion piece titled “The case for an artificially intelligent god.” This is our counterpoint to that. It’s a strange time to be a technology journalist. Somehow artificial intelligence has grown from buzzword to a religion, literally. For tech enthusiasts, it can often be more comfortable to wrap our heads around ideas like algorithms and neural networks than religion and faith.
Artificial intelligence is an important vehicle for companies looking to automate processes, reduce the cost of operation, or fuel innovation. Despite the positive influence AI-supported activities have on business, a successful implementation won’t happen overnight. First you need a complete understanding of your business goals, technology needs, and the impact AI will have on customers and employees.
Anthony Levandowski, the former Google and Uber executive currently at the center of a bombshell lawsuit filed by Waymo, says he’s serious about starting a religion centered around super-smart artificial intelligence.
In a rare interview with Wired, his first public interview since the Waymo lawsuit, Levandowski shed more light on his new church, “Way of the Future.” Here are some highlights:
The “Way of the Future” church will have its own gospel called “The Manual,” public worship ceremonies, and probably a physical place of worship.
Conscious robots with the capabilities of human beings are one of the oldest sci-fi tropes; a threatening blend of human and machine that could turn from friend to foe at a moment’s notice. With recent developments in artificial intelligence (AI) systems, there are many who both hope and worry that we will advance this technology far enough to actually create a machine with consciousness.
At an event that spanned everything from robots to the software and semiconductors that power them, our team in charge of autonomous machines hosted Thursday the first public meetup at NVIDIA’s new headquarters building.
I have spoken to business leaders and enterprise representatives from companies all over the world, and the general theme or concern has been, how can we improve productivity and positively impact both employee and customer experiences? At the heart of workplace productivity and user experience are conversations and a dynamic conversational flow that drives and weaves together work processes and workflows.
Amazon yesterday announced its ONNX-MXNet package to import Open Neural Network Exchange (ONNX) deep learning models into Apache MXNet, signifying the company is on-board with Facebook and Microsoft in efforts to open-source AI. With the ONNX-MXNet Python package, developers running models based on open-source ONNX will be able to run them on Apache MXNet. Basically, this allows AI developers to keep models but switch networks, as opposed to starting from scratch.
This blog is for leaders that hear about data science and machine learning often these days, plan on bringing this technology to their company, but don’t know where to start. By the time you finish reading this article, you will learn how simple it is for you to get your company initiated on machine learning […]
Suhani Vora is a bioengineer, aspiring (and self-taught) machine learning expert, SNES Super Mario World ninja, and Google AI Resident. This means that she’s part of a 12-month research training program designed to jumpstart a career in machine learning. Residents, who are paired with Google AI mentors to work on research projects according to their interests, apply machine learning to their expertise in various backgrounds—from computer science to epidemiology.
Apple today announced that the HomePod smart speaker will no longer be made available this year, but rather in early 2018. Missing the holidays could be a major setback for the smart speaker, which will compete with Amazon’s Echo series, Google’s Home series, and other several other smart speakers on the market.
According to IDC Research, Japan has the highest projected growth of artificial intelligence (AI) at 74% (5-year CAGR). DataRobot, pioneers of automated machine learning and a visionary principle of the 4th Industrial Revolution, saw this firsthand at last week’s AI Experience conference in Tokyo. Attended by some 800 business executives and data scientists, the event […]
Gartner has a tool known as the “hype cycle.” It shows where a technology stands on a curve that represents the lifecycle of that technology — including the peak of its “hype,” or inflated expectations, followed by the low point of missed expectations, or the “trough of disillusionment.” The lifecycle finally ends as the technology achieves what they refer to as the “plateau of productivity.”
AI is currently at the top of this hype cycle, discussed in every tech news cycle and mentioned with predictions of dire consequences from some of the greatest minds today.
Major advances in artificial intelligence and machine learning have dominated headlines over the past year. It is obvious why large corporations, with their huge customer bases and vast data warehouses, are excited. It’s been less clear how this technology will impact small businesses and the self-employed though.