Cognitive Computing increasingly will be put to work in practical, real-world applications. The industries that are adopting it are not all operating at the same maturity levels; there remain some challenges to conquer. The wheels are very much in motion to make cognitive-driven Artificial Intelligence (AI) applications a key piece of enterprise toolsets.
The journey to foster the adoption of Cognitive Computing for business applications was a focus of the panel discussion, Cognitive Computing 201 – Incorporating the Technology, held at the recent DATAVERSITY® Smart Data 2015 Conference in San Jose. Reflecting the progress in the AI area to date, Tech Pro Research recently published the results of a survey it conducted in July that revealed that 63% of respondents believe AI will be good for their businesses. That said, only 17% are actively using the technology now, and 49% have no plans for any use of AI at this point.
Artificial intelligence has a checkered past. It has gone through multiple waves of huge expectations followed by incredible disappointments. We have seen the rise and fall of expert systems, neural networks, logic (hard and fuzzy) and the use of statistical models for determining reasoning.
We seem to be, once again, in an era of heightened expectations regarding A.I. We now have Siri, IBM Watson, self-driving cars and the proliferation of machine learning, data mining and predictive systems that promise an unprecedented, even frightening, level of machine intelligence.
There was a moment in popular culture when the vision for a the future included a teacher who looked a lot less human. In the 1960s cartoon “The Jetsons,” children attend classes taught by a purple and blue humanoid computer program, Ms. Brainmocker. That idea has resurfaced several times in the decades since — often as a monster-in-the-closet for teachers, but occasionally as an aide.
In some ways, it seems Ms. Brainmocker’s moment may be on the verge of arriving. Last week, Knewton announced the creation of an artificial intelligence program that automatically delivers content to students based on how they learn. Similar programs have begun to spring up, offering ways to automate at least some of the practices of a teacher. But as the market grows, the focus seems to be less on all-out replacements like Ms. Brainmocker and more on the blackboard, the books, and the homework she assigns. In short, many of the so-called “smart” technologies are intended to aid, not replace, teachers (at least in the U.S.). But making sure they do will require examining exactly how they fit into schools.
We are in the midst of a revolution in machine intelligence, the art and engineering practices that let computers perform tasks that, until recently, could be done only by people.
There is now software that identifies faces at border crossings and matches them against passports or that labels people and objects in photographs posted to social media. Algorithms can teach them to play Atari video games. A camera and chip embedded in top-of-the-line sedans let the vehicles drive autonomously on the open road.
As part of the BBC’s Intelligent Machines season, Google’s Eric Schmidt has penned an exclusive article on how he sees artificial intelligence developing, why it is experiencing such a renaissance and where it will go next.
Until recently, AI seemed firmly stuck in the realm of science fiction. The term “artificial intelligence” was coined 60 years ago – on August 31 1955, John McCarthy proposed a “summer research project” to work out how to create thinking machines.
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.”
I love good science fiction because there is always a glimpse of a thought, an idea that ultimately becomes something tangible in our world.
But Elon Musk’s (Tesla, SpaceX) and Stephen Hawking’s warning about perfecting AI (artificial intelligence) could lead us to create a demon we can’t control made me wonder if it isn’t already too late.
We’re already struggling to understand and manage AI
AI is only one of our technological advances that will lead to Google’s Raymond Kurzweil’s favorite subject, Singularity.
Kurzweil is also one of the founders of six-year-old Singularity University and his goal is to live 700 years +/-.
Actually, the way technology is rushing, he could live a helluva’ lot longer … just not in his present form.
“Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded [by artificial intelligence].”
– Professor Stephen Hawking, University of Cambridge
These words from renowned physicist Stephen Hawking, as well as the impending presidential campaign of self-proclaimed “transhumanist” Zoltan Istvan, paint quite an exciting picture regarding the future role of artificial intelligence (AI) in everyday life. After all, Istvan’s idea of integrated immortality via the growth of AI being just within reach of humanity’s grasp is definitely a topic that stirs up quite a bit of controversy and discussion among experts and casual friends alike.
However, the notion of this virtual force assuming direct control of certain societal functions isn’t just limited to fascinating conversations and hypotheticals found in the distant future. In fact, certain members of the content marketing community feel that this reality is right around the corner for a human-driven industry that views itself as both vibrant and irreplaceable. With this in mind, let’s take a look at the future relationship between content marketing and AI, as well as what this development could mean for content marketers like yourself moving forward.