If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The planned Robot Science Museum in Seoul will have a humdinger of a first exhibition: its own robotic construction. It's very much a publicity stunt, though a fun one -- but who knows? Perhaps robots putting buildings together won't be so uncommon in the next few years, in which case Korea will just be an early adopter. The idea for robotic construction comes from Melike Altinisik Architects, the Turkish firm that won a competition to design the museum. Their proposal took the form of an egg-like shape covered in panels that can be lifted into place by robotic arms.
I usually see artificial intelligence explained in one of two ways: through the increasingly sensationalist perspective of the media or through dense scientific literature riddled with superfluous language and field-specific terms. There's a less publicized area between these extremes where I think literature needs to step up a bit. News about "breakthroughs" like that stupid robot Sophia hype up A.I. to be something akin to human consciousness while in reality, Sophia is about as sophisticated as AOL Instant Messenger's SmarterChild. Scientific literature can be even worse, causing even the most driven researcher's eyes to glaze over after a few paragraphs of gratuitous pseudo-intellectual trash. In order to accurately assess A.I., the general population needs to know what it really is.
Thirty years ago, Yann LeCun pioneered the use of a particular form of machine learning, called the convolutional neural network, or CNN, while at the University of Toronto. That approach, moving a filter over a set of pixels to detect patterns in images, showed promise in cracking problems such as getting the computer to recognize hand-written digits with minimal human guidance. Years later, LeCun, then at NYU, launched a "conspiracy," as he has termed it, to bring machine learning back into the limelight after a long winter for the discipline. The key was LeCun's CNN, which had continued to develop in sophistication to the point where it could produce results in computer vision that stunned the field. The new breakthroughs with CNNs, along with innovations by peers such as Yoshua Bengio, of Montreal's MILA group for machine learning, and Geoffrey Hinton of Google Brain, succeeded in creating a new springtime for AI research, in the form of deep learning.
Computers have recently gotten much, much better at a somewhat unsettling skill: generating fake human faces. As in, creating an image of a human who has never existed before. We saw the concept go a bit viral this week with ThisPersonDoesNotExist, a website hooked to a machine that generates a new face every few seconds. Now its been turned into a game. Think you can tell which human is… well, human?
Yoshimi battles the pink robots? These terms pop into our consciousness when we read articles, watch popular movies, or listen to Flaming Lips songs about technological advance, but we rarely take the time to investigate them more fully. It's important to dig a little deeper because technological advance will have huge impacts on our lives and on our society. As an artificial intelligence primer, I will be summarizing the book, Superintelligence, written by Nick Bostrom -- a professor at Oxford University and the founding Director of the Future of Humanity Institute, an interdisciplinary research center focused on the big questions faced by humanity. SIDE NOTE #1: Bostrom is not some obscure sci fi writer -- he is one of the leading academics in this field.
Artificial intelligence (AI) is a rapidly growing industry that's perpetually impressing people with what's possible. Those advancements wouldn't happen without the people working tirelessly to research innovations. Many of the people pushing artificial intelligence forward are male, and that's evidence of a known gender gap associated with the industry. Concentrated efforts are needed to tackle the problem, but it's a situation that could change. The five women here are among those leading the way in AI research and inspiring everyone by their dedication.
The term artificial intelligence is now applied to such a wide range of applications these days, it's difficult to know what AI truly is. We hear that Google is using AI in search, Facebook uses it for facial recognition and Netflix is using AI to'conquer the world'. These examples are all very interesting, but they do leave many wondering what exactly AI is and how can they apply it, now, to their everyday marketing tasks? To help marketers understand AI and how it applies to our craft, Econsultancy recently held a Digital Outlook event in Singapore and invited marketing AI expert Deborah Kay, Founder of Digital Discovery, to give an overview of the state of the art. Helpfully, Ms. Kay provided a summary of the four most exciting areas of AI for marketing as well as many examples of how AI is being used in the real world.
If you thought the bring-your-own-device (BYOD) experience was a challenge for companies, brace yourself. The mid-2000s brought waves of heterogeneous, non-sanctioned devices into the network. By 2009, workers had made it clear that they preferred BYOD, as CIOs began feeling the pressure of personal devices flooding the workplace. The result has been the creation of so-called "shadow IT" -- projects (applications and systems) managed outside of, and without the knowledge of, the IT department. The BYOD phenomenon went hand in hand with the adoption of non-sanctioned, cloud-based software as a service (SaaS) applications to address a line of business needs.
If you're new here, you may want to subscribe to my RSS feed. NVIDIA, this is a brand that most people around the world would be acustomed to, on our laptops and desktops, the NVIDIA graphics card, where we spent time playing games on our laptops/desktops or on our creative works for those in the creative industries such as photography, design etc. When I first heard of NVIDIA leading the world of healthcare with Artificial Intelligence (AI) and their hardware, I was surprised of NVIDIA's diversity, growth and expansion from the graphics card to their super computer and AI. Upon learning more when I visited NVIDIA website, I discovered so much more on NVIDIA beyond their graphics card. NVIDIA VP of Healthcare, Kimberly Powell, visited Singapore recently for EmTech Asia 2019.
My area focuses on the specific applications of robotics to extreme and challenging environments. These include robots that handle nuclear waste, climb tall towers in the middle of the ocean or survive thousands of meters underwater so not vacuuming the floor or serving you a coffee. AI forms a part of this programme, not because of the current hype around the technology, but simply that some of the latest developments in machine learning are so well suited to robotic challenges in unstructured environments. Let's have a look at examples of these latest techniques and the problems they are solving. One of the fields of computer vision that has in recent years been disrupted by AI is image classification.