Apple has posted a lot of job openings dealing with artificial intelligence lately.
Having more AI-focused employees at Apple would likely have the biggest impact on Siri going forward, but it’s an odd way to invest the company’s funds considering Apple has taken a hard stance against collecting users’ data.
“Machine learning,” better known as AI, absolutely requires massive amounts of data to be analyzed by a program before it can even begin to operate in the way we’d expect it to.
At the International Conference on Intelligent Robots and Systems in September, members of the Singapore-MIT Alliance for Research and Technology (SMART) and their colleagues will describe an experiment conducted over six days at a large public garden in Singapore, in which self-driving golf carts ferried 500 tourists around winding paths trafficked by pedestrians, bicyclists, and the occasional monitor lizard.
The experiments also tested an online booking system that enabled visitors to schedule pickups and drop-offs at any of 10 distinct stations scattered around the garden, automatically routing and redeploying the vehicles to accommodate all the requests.
In the B2B supply chain, technology is introducing significant improvements to the way businesses deal with each other. SaaS and Big Data have both played a role in making the supply chain more efficient. Hitachi’s new technology is propelling B2B supply chain technology even further with its new innovation — and one that is likely to impact more B2B business processes than supply chain management.
On Friday (Sept. 4), Japan-based technology conglomerate Hitachi revealed that it has developed supply chain artificial intelligence (AI) to help businesses manage their work orders and gain deeper insight into demand fluctuations.
A who’s-who grouping of the world’s most prominent minds has signed onto a letter urging robotics researchers to be extremely cautious in developing artificial intelligence (AI) technology, warning that an inevitable military AI arms race could (and likely will) unfold, leading to “a third revolution in warfare.”
Apple co-founder Steve Wozniak, Tesla’s Elon Musk, scientist Stephen Hawking and more than 1,000 others, presenting at the recent International Joint Conference on Artificial Intelligence in Argentina, obviously see the writing on the wall: If AI technologies continue to develop unabated, they say, autonomous weapons systems that operate without human input will eventually commit atrocities like mass genocide and ethnic cleansing campaigns.
When we talk about artificial intelligence (AI) – which we have done lot recently, including my outline on The Conversation of liability and regulation issues – what do we actually mean?
AI experts and philosophers are beavering away on the issue. But having a usable definition of AI – and soon – is vital for regulation and governance because laws and policies simply will not operate without one.
This definition problem crops up in all regulatory contexts, from ensuring truthful use of the term “AI” in product advertising right through to establishing how next-generation automated weapons systems (AWSs) are treated under the laws of war.
This post is part of a blog series with Young Scientists ahead of the Annual Meeting of the New Champions 2015, which takes place in Dalian, China, from 9-11 September. In this blog, Carnegie Mellon University’s Louis-Philippe Morency talks about his research into how artificial intelligence can help us recognize mental health conditions such as depression and post-traumatic stress disorder.
How’s life at the intersection of artificial intelligence and healthcare?
It’s very exciting right now. The area I’m most interested in is how we can use computer science to help clinicians and healthcare providers recognize mental health conditions such as depression, anxiety or post-traumatic stress disorder through the non-verbal communication of the patient. We call this multimodal machine learning.
This seems like a long term goal: how close are we?
Earlier this year, there were reports on advances in artificial intelligence. Stephen Hawking, Elon Musk and others voiced their concerns about computers overtaking humans, and it could start in the workplace, CBS News’ Anthony Mason reports.
“Eventually I think most jobs will be replaced, like 75 percent, 80 percent of people are probably not going to work for a living,” New York University’s Gary Marcus told Mason earlier this year.
Since that conversation, the jobs issue has attracted more attention. Recently, two books from technology experts in Silicon Valley foretell a potentially jobless future.
Jerry Kaplan is author of the just-released “Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence.”
Short Bytes: Using the Internet of Things we will control our future lives by inculcating electronics and internet in each and every small thing around us. Now take the Internet of Things + cloud in one hand and pick up the power of artificial intelligence + open source in the other, and mix these two. This is how Mycroft was born – an artificially intelligent and open source internet of things platform.
Artificial intelligence will characterize the next major wave of IT innovation, according to Pat Gelsinger, CEO of VMware.
It was the concluding point of his Tuesday keynote at VMworld, which focused on the changing nature of the enterprise. As business becomes increasingly digital, mobile, and cloud-based, the way we run businesses ought to change as well, he said.
Those changes are happening already, but in the background, he sees AI starting to make its presence known. It’s true AI has been “on the way” for decades. But Gelsinger believes its time is finally imminent, and he’s not alone; he recounted a recent conversation with Stanford University President John Hennessey, who believes AI is the most important upcoming wave of technology.