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) …
When people think of the greatest artists who've ever lived, they probably think of names like Beethoven or Picasso. No one would ever think of a computer as a great artist. But what if one day, that was indeed the case. Could computers learn to create incredible drawings like the Mona Lisa? Perhaps one day a robot will be capable of composing the next great symphony. Some experts believe this to be the case. In fact, some of the greatest minds in artificial intelligence are diligently working to develop programs that can create drawing and music independently from humans. The use of artificial intelligence in the field of art has even been picked up by tech giants the likes of Google. The projects that are included in this paper could have drastic implications in our everyday lives. They may also change the way we view art.
"It was his unique teaching style that got me and a bunch of my friends hooked to this topic and field – his enthusiasm towards the material, the intuitive examples that he gives…," says Abhishek Naik, a student pursuing a dual degree from IIT Madras, who recently did a bulk of work on MADRaS, an open source multi-agent driving simulator. "Working with him is highly rewarding in the sense that after every meeting, you'll walk out out his office brimming with new ideas and directions to explore."
The algorithmic organisation is an organisation built around smart algorithms. Algorithms that define company processes, that deliver customer services, that take action when necessary and as such define the way the world works. Thanks to machine learning and deep learning, these algorithms will be able to understand user and/or device behaviour, learn from users and/or devices and perform the right action accordingly. Algorithms will optimise your supply-chain, they will drive your cars, they will monitor your robots, they will determine the right marketing message, and they will even become your boss. The algorithmic organisation has the potential to change society, and the recent developments are bringing us closer to the holy grail of artificial intelligence: Artificial General Intelligence (AGI), which means artificial intelligence as smart as mankind.
Summary: Researchers in Synthetic Neuro Biology are proposing to solve the AGI problem by building a brain in the laboratory. This is not science fiction. They are virtually at the door of this capability. Increasingly these researchers are presenting at major AGI conferences. If you step outside of all the noise around AI and the hundreds or even thousands of startups trying to add AI to your car, house, city, toaster, or dog you can start trying to figure out where all this is going.
A recent Bloomberg article dives into the achievements of Jürgen Schmidhuber. In 1997, Schmidhuber's came up with long short-term memory, or LSTM, a tenet of Artificial General Intelligence (AGI). He states "You can write it down in five lines of code. It can learn to put the important stuff in memory and ignore the unimportant stuff. LSTM can excel at many really important things in today's world, most famously speech recognition and language translation but also image captioning, where you see an image and then you write out words which explain what you see."
Civilization has reached a major inflection point, with the development of artificial intelligence technology triggering a massive acceleration in the pace of human innovation. For the first time in history, the innovation equation is about to change, for it is no longer solely dependent on human cerebral capacity and population growth. I first indicated as much during a keynote presentation at AI World this past December. AI will hyper-accelerate the rate of innovation as its algorithmic capabilities and computer-processing power outpace its biological equivalent. The description of the history of mankind has consistently followed an "innovation curve," which started with man gaining control over fire about 1 million years ago and then continued with the invention of the wheel, Gutenberg's printing press, the lightbulb and at least 10,000 other key innovations.
Some of Google's top scientists today discussed the future of artificial intelligence and the message was one of tempered expectations – something we hadn't seen much of at the Google I/O event. The field of artificial intelligence exists in two states which, upon first glance, appear diametrically opposed. In one, here in 2018, we have computers that can usually figure out what a cat looks like with only a few hints – something most toddlers can get right with near-perfect accuracy. Yet in the other state, fully autonomous vehicles and superhuman AI-powered diagnostic tools for doctors are functionally available now. Figuring out what's possible today, when it comes to artificial intelligence, is a full-time job in and of itself.
The tech giants already know this and are investing in democratizing AI to make tools and services more widely available, but the user experience (UX) of machine learning is still overlooked. Companies can make massive improvements to machine learning-based applications even without access to the same levels of data or talent as the biggest players -- compensating for a lack of data by building a great UI (more on this later). When we focus on AI as a tool and recognize how crucial usability is to widespread adoption, we can see that there are opportunities to enhance existing AI in ways that have nothing to do with progress toward human-level machine intelligence or artificial general intelligence. While flashy projects like DeepMind and Google Brain are more likely to make headlines than Google's more mundane implementations of AI, such as search, the latter is a vastly more profitable business. According to a recent MarketWatch article, Google has "made a massive multibillion-dollar bet on AI and machine learning," a bet I believe is nicely hedged on the question of whether there'll be another "AI winter," a period of reduced interest in AI.
Artificial intelligence has the capability to far surpass our intelligence in a relatively short period of time. But AI expert Ben Goertzel knows that the foundation has to be strong for that artificial brain power to grow exponentially. It's all good to be super-intelligent, he argues, but if you don't have rationality and empathy to match it the results will be wasted and we could just end up with an incredible number-cruncher. In this illuminating chat, we makes the case for thinking bigger. Ben Goertzel's most recent book is AGI Revolution: An Inside View of the Rise of Artificial General Intelligence.
The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age.